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Encyclopedia results for Iiyama Vision Master Pro 17 computer monitor

Iiyama Vision Master Pro 17 computer monitor





Encyclopedia results for Iiyama Vision Master Pro 17 computer monitor

  1. Iiyama Vision Master Pro 17 computer monitor

    Orphan date February 2009 The Iiyama Vision Master Pro 17 computer monitor was manufactured by Iiyama company Iiyama , a high end manufacturer of LCD and Cathode ray tube CRT monitors. This CRT monitor was manufactured in the 1990s, and has been discontinued. For a year from April 1997 to April 1998, this monitor was at the top of PCWorld s chart as a Best Buy. ref cite web title Iiyama VisionMaster Pro17 date April 6, 1998 url http www.pcworld.com article 23037 iiyama visionmaster pro17.html publisher PC World magazine PCWorld accessdate 1 May 2011 ref According to PC Pro magazine, it dominated the UK monitor market at around that period. ref cite web title Iiyama Vision Master Pro 410 review date 1 Jan 2000 url http www.pcpro.co.uk reviews peripherals 2874 iiyama vision master pro 410 location London publisher PC Pro accessdate 3 May 2011 ref Technical specifications Screen The monitor is a Cathode ray tube CRT with a phosphor area diagonal 41  cm 16 , dot pitch of 0.26  mm. The screen has a short persistence phosphor with an anti reflection and anti static coating. The horizontal sync frequency is 27.0 86.0  kHz, and the vertical sync is 50 160  Hz. The maximum video resolution 1600 1200, non interlaced . ref name spec cite web archiveurl http replay.web.archive.org 20080702191148 http si87.com Products Monitors 17inchmonitor.html url http si87.com Products Monitors 17inchmonitor.html title IIyama visionmaster 17 inch monitors archivedate 2008 07 02 ref Video connectors The two standard input connections are 5 BNC connector BNC and D Sub mini 15 pin. ref name spec Power The monitor operates on a standard 110  V 60  Hz line and a 220  V 50  Hz, consuming a maximum of 110  W of Power physics power . Stand by power is 10  W maximum, and suspend mode is 6  W maximum. ref name spec References reflist External links http www.iiyama.com Iiyama website Category Display devices ...   more details



  1. Computer monitor

    and can be used for vision research. ref Wang, P. and D. Nikoli 2011 An LCD monitor with sufficiently ... are used in some security conscious applications. Polarized 3D monitor The LG computer monitor 1920 ... Computer Monitor Category Computer hardware Category Computer peripherals Category Display devices ... sq Ekrani si simple Computer monitor sk Monitor displej sl Monitor sr ...File LG L194WT SF LCD monitor.jpg thumb upright 1.3 A 19 inch, 16 10 wide screen LCD monitor . A monitor or display also called screen or visual display unit is an electronic visual display for computer s. The monitor comprises the display device, electronic circuit circuitry , and an enclosure. The display ..., computer monitors were used for data processing while television receiver s were used for entertainment ... and entertainment, while televisions have implemented some computer functionality. The common aspect ratio of televisions, and then computer monitors, has also changed from 4 3 to 16 9 and 16 10 . TOC ... techniques have been used for Computer monitors. Until the 21st century most monitors were CRT ... crt.png thumb A CRT monitor. File MacroCRT.JPG thumb left Macro showing RGB pixel array The first computer monitors used cathode ray tube s CRT . Until the early 1980s, they were known as video display terminals and were physically attached to the computer and keyboard. The monitors were monochrome ... and had a resolution of 640 by 350. ref cite web url http www.infodingo.com electronics computer monitors types of computer monitors crt title Cathode Ray Tube CRT Monitors publisher Infodingo.com date accessdate 2011 05 20 ref CRT remained the standard for computer monitors through the 1990s. CRT technology remained dominant in the PC monitor market into the new millennium partly because it was cheaper ... as computer monitors was in laptops where the lower power consumption, lighter weight, and smaller ... of liquid crystal display LCD which is now the dominant technology used for computer monitors ...   more details



  1. Computer vision

    Computer vision is a field that includes methods for acquiring, processing, analysing, and understanding ... theory. ref name Forsyth Ponce 2003 Computer vision has also been described as the enterprise ... and computers or robots that can comprehend the world around them. The computer vision and machine vision fields have significant overlap. Computer vision covers the core technology of automated image ... guidance in industrial applications. As a scientific discipline, computer vision is concerned with the theory ... scanner. As a technological discipline, computer vision seeks to apply its theories and models to the construction of computer vision systems. Examples of applications of computer vision include ..., e.g. , in manufacturing applications. Sub domains of computer vision include scene reconstruction ... restoration . In most practical computer vision applications, the computers are pre programmed ... fields File CVoverview2.svg thumb 350px Relation between computer vision and various other fields ... by a computer vision system, acting as a vision sensor and providing high level information about the environment and the robot. Artificial intelligence and computer vision share other topics such as pattern recognition and learning techniques. Consequently, computer vision is sometimes seen as a part ... field that is closely related to computer vision. Most computer vision systems rely on image sensors ... can be addressed using computer vision, for example motion in fluids. A third field which plays ... tasks. These results have led to a subfield within computer vision where artificial systems are designed .... Also, some of the learning based methods developed within computer vision e.g. Neural network neural ... of computer vision research are closely related to the study of biological vision indeed, just ... animals. Computer vision, on the other hand, studies and describes the processes implemented in software and hardware behind artificial vision systems. Interdisciplinary exchange between biological and computer ...   more details



  1. Compaq 171FS computer monitor

    The Compaq 171FS computer monitor is sometimes referred to as MicroScan 5A after the internal microprocessor based digital control system. It was manufactured by the Compaq Computer Corporation in 1994 and is 17 inches with a maximum display resolution of 1024x768, 75 Hertz Hz refresh rate , and dot pitch of 0.28  mm. the monitor is both Personal computer PC and Macintosh compatible with a Mac PnP adapter . The input video signal to the monitor is analog through a HD 15 connector. The horizontal sync frequency is 30 58 kHz, and the vertical frequency is 50 100 Hz. The monitor consumes a maximum of 100 watt s, and qualified as EnergyStar by the United States Environmental Protection Agency EPA . See also Wikihowto Wikia en.howto Howto deal with the Compaq 171FS monitor in X Windows Howto deal with the Compaq 171FS monitor in X Windows References http www.skrause.org computers compaq171fs.shtml Wikihowto Wikia en.howto Compaq 171FS computer monitor Compaq 171FS computer monitor http www.eServiceInfo.com MicroScan 5A Service Manual http fileshare.eshop.bg downloadsm 2582 ADI 171FS.html Part 1 , http fileshare.eshop.bg downloadsm 2583 ADI 171FS.html Part 2 Category Display devices ...   more details



  1. Media Vision Pro AudioSpectrum

    on its 8 bit Pro AudioSpectrum Plus and 16 bit Pro AudioSpectrum 16 , Media Vision included the same ... drivers 17 17113.htm MediaVision Pro Audio Spectrum 16 Studio driver ref or Windows NT 4 2000 RC1 ref ...Image Mediavision pas16.jpg thumb right 200px Pro AudioSpectrum 16 with SCSI CD ROM interface The Media Vision Pro AudioSpectrum commonly referred to as PAS family of personal computer sound cards included the original 8 bit Pro AudioSpectrum 1991 , the 8 bit Pro AudioSpectrum Plus , 16 bit Pro AudioSpectrum 16 , Pro AudioSpectrum 16 Basic and 16 bit Pro Audio Studio . All PAS cards with the exception of Pro AudioSpectrum 16 Basic could connect to CD ROM drives variants having SCSI or various proprietary interfaces and many were sold in multimedia kits with compatible CD ROM drives. Though the 8 bit Pro AudioSpectrum cards were only modestly successful, the 16 bit series cards aimed toward semi professional users and hobby musicians were quite popular. These gave serious competition to the SoundBlaster 16. Most games in the mid 1990s had genuine support for the PAS cards, ref http www.radgametools.com msshist.htm Miles Sound System Development History ref thus the lack of Sound Blaster Pro and Sound Blaster 16 compatibility was not much of a problem. Media Vision was the original equipment manufacturer OEM of the Logitech SoundMan also marketed as Pro AudioSpectrum 16 Basic card, which ... quickly as Media Vision was rocked by Media Vision Financial scandal financial scandal and faded from ... Pro AudioSpectrum cards included a CD ROM interface. Most PAS cards were equipped with a NCR Corporation ... Each Pro AudioSpectrum sound card included a MPU401 compatible MIDI and Gameport interface similar ... Pro AudioSpectrum Windows 3.x software Other outstanding features of the PAS cards were the Win 3.x ... Blaster cards. With the PAS cards, Media Vision also began to include a popular player for Amiga ... the PAS chip directly. References references See also Media Vision Adlib Sound Blaster Category Sound ...   more details



  1. Computer vision syndrome

    Computer vision syndrome CVS is a temporary condition resulting from focusing the human eye eye s on a computer display for protracted, uninterrupted periods of time . Some symptom s of CVS include headache s, blurred Visual perception vision , neck pain, redness in the eyes, fatigue physical fatigue , Asthenopia eye strain , dry eyes, irritated eyes, double vision, polyopia, and difficulty refocusing the eyes. These symptoms can be further aggravated by improper lighting conditions i.e. glare ref name medscape cite web last1 Izquierdo first1 Natalio J. last2 Townsend first2 William title Computer Vision Syndrome url http emedicine.medscape.com article 1229858 showall work Medscape Reference Drugs, Diseases & Procedures publisher WebMD LLC accessdate 27 February 2012 ref or bright overhead lighting or air moving past the eyes e.g. overhead vents, direct air from a fan . Prevalence According to the National Institute of Occupational Safety and Health , computer vision syndrome affects some 90 of the people who spend three hours or more a day at a computer. ref http online.wsj.com article SB10001424052748704868604575433361436276340.html?mod WSJ hpp MIDDLENexttoWhatsNewsThird Becoming a Squinter Nation , Wall St. Journal, August 17, 2010 unreliable medical source date February 2012 ref Therapy Dry eye is a major symptom that is targeted in the therapy of CVS. The use of over the counter artificial tear solutions can reduce the effects of dry eye in CVS. Asthenopic symptoms in the eye are responsible for much of the morbidity in CVS. Proper rest to the eye and its muscles is recommended ... Zheng Yan, Liang Hu, Hao Chen and Fan Lu Computer Vision Syndrome A widely spreading but largely unknown epidemic among computer users. Computers in Human Behavior, Volume 24, Issue 5, September ... Sindrom kompjuterskog vida he ja VDT pl Computer Vision Syndrome pt S ndrome da vis o de computador ro Patologia de calculator simple Computer vision syndrome sr ...   more details



  1. View-Master Interactive Vision

    Infobox information appliance name View Master Interactive Vision image include the file tag caption include if image is not a logo manufacturer View Master Ideal Group, Inc. type releasedate Start date 1988 price this is price at initial release, not the current price lifespan unitssold media os operating system input camera power cpu storage VHS memory display audio connectivity service online service s offered dimensions weight touchpad predecessor successor related orphan date December 2009 View Master Interactive Vision was an interactive movie VHS console game system, introduced in 1988 by View Master Ideal Group, Inc. The tagline was that the console was the Two Way Television System that makes you a part of the show The titles included four Sesame Street games, and two games featuring the Muppet Show characters, as well as a Disney game, Disney s Cartoon Arcade . The system came with a simple Game controller controller which included a joystick and three colorful buttons. As the video plays, the characters address the player directly, and ask the player to make a choice by pressing one of the buttons. The video has a number of different soundtrack s recorded, and the player s choices toggle back and forth between the soundtracks, giving the impression that the player has changed the course of the story. For example, in the game Muppets Studios Presents You re the Director, Kermit the Frog leads the player through the process of making a Muppet movie . At the end of the game, he asks if the player liked the movie they ve created. If the player gives a positive response, then the Muppets sing a closing number called Everything Was Wonderful If the player responds negatively, the closing number is Everything Was Terrible The optional parts of the soundtrack are designed to fit the movement of the Muppets mouths, to create the illusion that the video was recorded with only one soundtrack. Category 1988 introductions Category Third generation video game consoles ...   more details



  1. Cuboid (computer vision)

    In computer vision, the term cuboid is used to describe a small spatiotemporal volume extracted for purposes of behavior recognition. ref Cite conference author P. Doll r, V. Rabaud, G. Cottrell and S. Belongie title Behavior Recognition via Sparse Spatio Temporal Features conference 2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance pages 65 72 date October, 2005 doi 10.1109 VSPETS.2005.1570899 ref References Reflist Category Computer vision vocab stub compu AI stub ...   more details



  1. Fundamental matrix (computer vision)

    Journal of Computer Vision volume 17 pages 43 75 year 1996 doi 10.1007 BF00127818 issue 1 cite book ...In computer vision , the fundamental matrix math mathbf F math is a 3 3 matrix mathematics matrix which relates corresponding points in stereoscopy stereo image s. In epipolar geometry , with Homogeneous coordinates homogeneous image coordinates , x and x , of corresponding points in a stereo image pair, Fx describes a line an epipolar line on which the corresponding point x on the other image must lie. That means, for all pairs of corresponding points holds math mathbf x T mathbf F x 0. math Being of rank two and determined only up to scale, the fundamental matrix can be estimated given at least ... on Computer Vision year 1992 cite conference title Camera self calibration Theory and experiments ... Conference on Computer Vision year 1992 cite journal author Q. T. Luong and Olivier D. Faugeras ... cameras author Richard I. Hartley booktitle Proceedings of European Conference on Computer Vision year 1992 cite book author Richard Hartley and Andrew Zisserman title Multiple View Geometry in computer vision publisher Cambridge University Press year 2003 isbn 0 521 54051 8 cite journal doi ... International Journal of Computer Vision volume 32 pages 7 25 year 1999 doi 10.1023 A 1008109111715 ... Methods for Estimating the Fundamental Matrix journal International Journal of Computer Vision volume ... the epipolar geometry and its uncertainty A review journal International Journal of Computer Vision ... demonstrating laws of epipolar geometry. Category Geometry in computer vision Link FA de de Fundamentalmatrix ... 6 cite book title Matrice fondamentale et auto calibration en vision par ordinateur author Q. T. Luong ... Soatto, Jana Ko eck and S. Shankar Sastry title An Invitation to 3 D Vision publisher Springer year ... A New Robust Estimator with Application to Estimating Image Geometry journal Journal of Computer Vision and Image Understanding volume 78 pages 138 156 year 2000 issue 1 cite book author Gang Xu ...   more details



  1. List of computer vision topics

    This is a list of computer vision and image processing topics Image enhancement Image denoising Image histogram Histogram equalization Tone mapping Retinex Gamma correction Anisotropic Diffusion Perona Malik equation Transformations Affine transform Projective transform Hough transform Radon transform Walsh Hadamard transform Filtering, Fourier and wavelet transforms and image compression Image compression Filter bank Gabor filter JPEG 2000 Adaptive filtering Color vision Visual perception Human visual system model Color matching function Color space Color appearance model Color management system Color mapping Color profile Feature extraction Active contour Blob detection Canny edge detector Contour detection Edge detection Edge linking Harris corner detector RANSAC Random sample consensus RANSAC Scale invariant feature transform SIFT Pose estimation Bundle adjustment Articulated body pose estimation BoPoE Direct linear transformation DLT Epipolar geometry Fundamental matrix computer vision Fundamental matrix Pinhole camera model Projective geometry Trifocal tensor Registration Active Appearance Model Active appearance model AAM Cross correlation Geometric hashing Graph cut segmentation Least squares Least squares estimation Pyramid image processing Image pyramid Image segmentation Level set method Markov random fields Medial axis Motion field Motion vector Multispectral imaging Normalized cut segmentation Optical flow Particle filter ing Scale space Visual Recognition Object Recognition Scale invariant feature transform SIFT Gesture Recognition Bag of words model in computer vision Kadir Brady saliency detector Eigenface Applications Machine vision See also List of computer graphics and descriptive geometry topics Virtual Design and Construction Category Computer vision Category Computing lists Computer vision topics Category Outlines zh ...   more details



  1. Computer Vision Center

    Merge to Autonomous University of Barcelona date September 2010 Computer Vision Center lang es Centre de Visi per Computador at is a computer vision research center at Universitat Autonoma de Barcelona UAB , Spain. ref Cite book title An lisis de escritos y documentos en los servicios secretos author Francisco Vi als Carrera, Mar a Luz Puente Balsells year 2003 isbn 8425423198 ref ref Cite book title Recerca a Catalunya centres de recerca, grups de recerca, departaments universitaris, serveis cientificot cnics editor Generalitat de Catalunya publisher University of Michigan year 1999 ref It was established in 1994 by the Generalitat de Catalunya and the UAB. Citation needed date December 2009 In 2002, the commenced publication of Electronic Letters on Computer Vision and Image Analysis . Citation needed date December 2009 It participated in the Pascal Challenge in 2009. ref Cite news url http www.adn.es pdf ADN 2009 11 24 BCN.pdf title Premien un lector d imatges de la UAB newspaper ADN newspaper ADN date 2009 11 24 ref ref Cite web url http www.en.globaltalentfcri.com articles 927 Eight gold medal from The Pascal Challenge for the Computer Vision Center of the UAB.html title Eight gold medal from The Pascal Challenge for the Computer Vision Center of the UAB date 21 October 2009 publisher Global Talent ref See also Facial recognition system Biometrics References Reflist External links Official website 1 http www.cvc.uab.es index.asp?idioma en Category Computer vision research infrastructure Category Computer science institutes Category Research institutes in Catalonia Category Autonomous University of Barcelona Spain org stub ...   more details



  1. Computer stereo vision

    Epipolar geometry Computer vision Stereo camera Stereoscopic Depth Rendition References reflist External links http pages.cs.wisc.edu chaol cs766 Tutorial on uncalibrated stereo vision Mixed reality Category Applications of computer vision Category Vision Category Stereoscopy ...seealso Stereopsis morereferences date August 2009 expert subject Robotics date June 2009 Computer stereo vision is the extraction of 3D information from digital images, such as obtained by a CCD camera . By comparing information about a scene from two vantage points, 3D information can be extracted by examination of the relative positions of objects in the two panels. This is similar to the biological process Stereopsis . Outline In traditional stereo vision, two cameras, displaced horizontally from one another are used to obtain two differing views on a scene, in a manner similar to human binocular vision . By comparing these two images, the relative depth information can be obtained, in the form of disparities, which are inversely proportional to the differences in distance to the objects. To compare the images, the two views must be superimposed in a stereoscopic device, the image from the right camera being shown to the observer s right eye and from the left one to the left eye. In real camera systems however, several pre processing steps required. ref cite book title Learning OpenCV Computer Vision with the OpenCV Library publisher O Reilly author Bradski, Gary and Kaehler, Adrian ... constant, the height map can be calibrated to provide exact distances. Active stereo vision Active stereo vision is a form of stereo vision which actively employs a light such as a laser or a structured light to simplify the stereo matching problem. The opposed term is passive stereo vision ... and automation automated systems. Stereo vision is highly important in fields such as robotics , to extract ... applications for digital stereo vision include the extraction of information from aerial survey s, for calculation ...   more details



  1. 3D computer vision

    this recent breakthrough in 3D technologies there is still a lack of real time 3D vision computer ... US Patent 7,729,530 Olivier Faugeras, Three Dimensional Computer Vision , MIT Press, 1993 Emanuele Trucco, Alessandro Verri, Introductory Techniques for 3 D Computer Vision , Prentice Hall, 1998 Reinhard Klette, Karsten Schluns, Andreas Koschan, Computer Vision Three Dimensional Data from Images ... and computer games back in 2007 but was not acquired by any of them. In 2010 http patft.uspto.gov ... image and gesture recognition for computer games and device control. Let s take a closer look at them ... if connected and controlled by computer. 3D camcorder Panasonic s 3D camcorder . Great idea with mechanically ... Camcorders Camcorders model.HDC SDT750K 11002 7000000000000005702 3D Camcorder by Panasonic Computer stereo vision http www.xbox.com en ca kinect ?WT.srch 1 Kinect Xbox 360 3D reconstruction references Category Category Commercial computer vision systems Category Computer vision Category Applications of computer vision Category Image sensor technology in computer vision Category Object recognition and categorization Category 3D imaging Category 3D computer graphics ...   more details



  1. International Conference on Computer Vision

    ICCV , the International Conference on Computer Vision , is a bi annual research conference organised by the IEEE . It is considered the top level conference in computer vision, ref http www.cs.ecnu.edu.cn mlan SoC Conference Ranking.htm SoC Conference Ranking ref with a A rating from the Australian Ranking of ICT Conferences. ref http www.arc.gov.au era era journal list.htm Australian Ranking of ICT Conferences ref The acceptance rate for ICCV has been around 20 , with about 4 being accepted for oral presentations. ref http www.adaptivebox.net CILib CICON stat.html ICCV Conference Acceptance Ratio Statistics ref Like many IEEE conferences, ICCV has tutorial talks, technical sessions, and poster sessions. The conference is usually spread over four to five days. Leading experts in the focus areas would give tutorial talks on the first day. Then the technical sessions and poster sessions in parallel would follow. Awards The best paper of the conference is awarded the Marr Prize , which is one of the top honors for a researcher in computer vision. The Azriel Rosenfeld Award, or Azriel Rosenfeld Life Time Achievement Award was established at ICCV 2007 in Rio de Janeiro to honor outstanding researchers who are recognized as making significant contributions to the field of Computer Vision over longtime careers. This award is in memory of the late computer scientist and mathematician Prof. Azriel Rosenfeld. Recipients The third Azriel Rosenfeld Award was presented in 2011 at the ICCV in Barcelona, Spain, to Thomas Huang UIUC . The second Azriel Rosenfeld Award was presented in 2009 at the ICCV in Kyoto, Japan, to Berthold K.P. Horn MIT . The first Azriel Rosenfeld Award was presented ... ICCV 1987, London, UK References reflist DEFAULTSORT International Conference On Computer Vision Category IEEE conferences Category Computer science conferences Category Computer vision research infrastructure de ICCV fr International Conference on Computer Vision ...   more details



  1. European Conference on Computer Vision

    ECCV , the European Conference on Computer Vision , is a bi annual research conference organised by the IEEE . Similar to ICCV in scope and quality, it is held those years which ICCV is not. Like ICCV, it is considered an important conference in computer vision, ref http www.cs.ecnu.edu.cn mlan SoC Conference Ranking.htm SoC Conference Ranking ref with an A rating from the Australian Ranking of ICT Conferences ref http www.arc.gov.au era era journal list.htm Australian Ranking of ICT Conferences ref . The acceptance rate for ECCV 2010 was 24.4 posters and 3.3 oral presentations. ref http www.ics.forth.gr eccv2010 program.php ECCV 2010 Program ref ref http www.ics.forth.gr eccv2010 statistics.php ECCV 2010 Statistics ref Like many IEEE conferences, ECCV has tutorial talks, technical sessions, and poster sessions. The conference is usually spread over four to five days. Leading experts in the focus areas would give tutorial talks on the first day. Then the technical sessions and poster sessions in parallel would follow. Conferences http eccv2012.unifi.it ECCV 2012, Florence, Italy http www.ics.forth.gr eccv2010 intro.php ECCV 2010, Crete, Greece http eccv2008.inrialpes.fr ECCV 2008, Marseilles, France http eccv2006.tugraz.at ECCV 2006, Graz, Austria http cmp.felk.cvut.cz eccv2004 ECCV 2004, Prague, Czech Republic http www.itu.dk events eccv02 ECCV 2002, Copehnhagen, Denmark ECCV 2000, Dublin, Ireland ECCV 1998, Freiburg, Germany ECCV 1996, Cambridge, UK ECCV 1994, Stockholm, Sweden ECCV 1992, Santa Margherita Ligure, Italy ECCV 1990, Antibes, France References reflist Category IEEE conferences Category Computer science conferences Category Computer vision research infrastructure ...   more details



  1. Feature detection (computer vision)

    FeatureDetectionCompVisNavbox In computer vision and image processing the concept of feature detection refers to methods that aim at computing abstractions of image information and making local decisions at every image point whether there is an image feature of a given type at that point or not. The resulting features will be subsets of the image domain, often in the form of isolated points, continuous ... are used as a starting point for many computer vision algorithms. Since features are used ... parts of the image are searched for features. Many computer vision algorithms use feature detection ... journal International Journal of Computer Vision volume 23 pages 45 78 month May year 1997 ... on Computer Vision and Pattern Recognition year 1994 url http citeseer.ist.psu.edu shi94good.html The Shi ... scale selection journal International Journal of Computer Vision year 1998 volume 30 issue ... of Computer Vision year 2004 url http citeseer.ist.psu.edu 654168.html doi 10.1023 B VISI.0000029664.99615.94 ... Space Primal Sketch A Method for Focus of Attention journal International Journal of Computer Vision ..., Ridges and Valleys on Digital Images, Computer Vision, Graphics, and Image Processing vol. 22, no. 10 ... Journal of Computer Vision year 1998 volume 30 issue 2 pages pp 117 154 url http www.nada.kth.se ... point detection Scale space Feature detection Feature extraction Feature Computer vision Computer vision Category Computer vision Category Image processing fr Extraction de caract ristique en vision ... Scale space journal Encyclopedia of Computer Science and Engineering Benjamin Wah , ed , John Wiley ... and edge detector booktitle Proceedings of the 4th Alvey Vision Conference pages pages 147 151 year ... journal Image and Vision Computing volume 16 pages 75 87 year 1998 doi 10.1016 S0262 8856 97 ... stable extremum regions booktitle British Machine Vision Conference year 2002 pages 384 393 url ... and Vision, v.4 n.4, p.  353 373, Dec. 1994. Fixed scale ridge detection cite journal author T. Lindeberg ...   more details



  1. Pose (computer vision)

    In computer vision and in robotics , a typical task is to identify specific objects in an image and to determine each object s position and orientation relative to some coordinate system. This information can then be used, for example, to allow a robot to manipulate an object or to avoid moving into the object. The combination of position and orientation is referred to as the pose of an object, even though this concept is sometimes used only to describe the orientation. Exterior orientation and Translation are also used as synonyms to pose. The image data from which the pose of an object is determined can be either a single image, a stereo image pair, or an image sequence where, typically, the camera is moving with a known speed. The objects which are considered can be rather general, including a living being or body parts, e.g., a head or hands. The methods which are used for determining the pose of an object, however, are usually specific for a class of objects and cannot generally be expected to work well for other types of objects. The pose can be described by means of a rotation and translation transformation which brings the object from a reference pose to the observed pose. This rotation transformation can be represented in different ways, e.g., as a rotation matrix or a quaternion . Pose estimation merge 3D Pose Estimation discuss Talk 3D Pose Estimation Merger proposal date March 2010 The specific task of determining the pose of an object in an image or stereo images, image sequence is referred to as pose estimation . The pose estimation problem can be solved in different ways depending on the image sensor configuration, and choice of methodology. Three classes of methodologies can be distinguished Analytic or geometric methods Given that the image sensor camera ... title Computer Vision publisher Prentice Hall year 2001 id ISBN 0 13 030796 3 Category Computer vision Category Geometry in computer vision Category Robot control de Pose Technik ...   more details



  1. Feature (computer vision)

    Unreferenced date December 2009 In computer vision and image processing the concept of feature is used to denote a piece of information which is relevant for solving the computational task related to a certain application. More specifically, features can refer to the result of a general neighborhood operation feature extractor or Feature detection computer vision feature detector applied to the image, specific structures in the image itself, ranging from simple structures such as points or edges to more complex structures such as objects. Other examples of features are related to motion in image sequences, to shapes defined in terms of curves or boundaries between different image regions, or to properties of such a region. The feature concept is very general and the choice of features in a particular computer vision system may be highly dependent on the specific problem at hand. Introduction When features are defined in terms of local neighborhood operations applied to an image, a procedure commonly referred to as feature extraction , one can distinguish between feature detection approaches that produce local decisions whether there is a feature of a given type at a given image point or not, and those who produce non binary data as result. The distinction becomes relevant when the resulting detected features are relatively sparse. Although local decisions are made, the output from a feature detection step does not need to be a binary image. The result is often represented in terms ... in terms of the average color three scalars or a color histogram three functions . When a computer vision system or computer vision algorithm is designed the choice of feature representation can be a critical ... to extract features. See also Feature detection computer vision Edge detection Corner detection Blob detection Ridge detection Interest point detection Feature extraction Computer vision DEFAULTSORT Feature Computer Vision Category Computer vision Category Image processing ...   more details



  1. Graph cuts in computer vision

    As applied in the field of computer vision , Cut graph theory graph cuts can be employed to Polynomial time efficiently solve a wide variety of low level computer vision problems early vision , such as image smoothing , the stereo correspondence problem , and many other computer vision problems that can be formulated in terms of energy minimization . Such energy minimization problems can be Reduction complexity reduced to instances of the maximum flow problem in a Graph mathematics graph and thus, by the max flow min cut theorem , define a minimal cut of the graph . Under most formulations of such problems in computer vision, the minimum energy solution corresponds to the MAP estimate maximum a posteriori estimate of a solution. Although many computer vision algorithms involve cutting a graph e.g., normalized cuts , the term graph cuts is applied specifically to those models which employ a max flow min cut optimization other graph cutting algorithms may be considered as graph partitioning algorithms . Binary problems such as denoising a binary image can be solved exactly using this approach problems where pixels can be labeled with more than two different labels such as stereo correspondence, or denoising of a grayscale image cannot be solved exactly, but solutions produced are usually ... in computer vision in the paper by Greig, Porteous and Seheult ref name D.M. Greig, B.T 1989 D.M. Greig ... Conference on Computer Vision and Pattern Recognition CVPR . ref ref name boykov2001fast Y. Boykov ... , 29 , 1222 1239. ref to have wide applicability in general computer vision problems. Greig, Porteous ... of Min Cut Max Flow Algorithms for Energy Minimization in Vision. IEEE Trans. Pattern Anal. Mach. Intell. 26 9 1124 1137 2004 ref published an efficient way to compute the max flow for computer vision ... some graph cut libraries and MATLAB wrappers References reflist DEFAULTSORT Graph Cuts In Computer Vision Category Bayesian statistics Category Computer vision Category Computational problems in graph ...   more details



  1. Orientation (computer vision)

    Multiple issues unreferenced December 2009 orphan February 2009 context October 2009 In computer vision and image processing a common assumption is that sufficiently small image regions can be characterized as locally one dimensional, e.g., in terms of lines or edges. For natural images this assumption is usually correct except at specific points, e.g., corners or line junctions or crossings, or in regions of high frequency textures. However, what size the regions have to be in order to appear as one dimensional varies both between images and within an image. Also, in practice a local region is never exactly one dimensional but can be so to a sufficient degree of approximation. Image regions which are one dimensional are also referred to as simple or intrinsic one dimensional i1D . Given an image of dimension d d 2 for ordinary images , a mathematical representation of a local i1D image region is math f mathbf x g mathbf x cdot hat mathbf n math where math f math is the image intensity function which varies over a local image coordinate math mathbf x math a d dimensional vector , math g math is a one variable function, and math hat mathbf n math is a unit vector. The intensity function math f math is constant in all directions which are perpendicular to math hat mathbf n math . Intuitively, the orientation of an i1D region is therefore represented by the vector math hat mathbf n math . However, for a given math f math , math hat mathbf n math is not uniquely determined. If math tilde mathbf n hat mathbf n math math tilde g x g x math then math f math can be written as math f mathbf x tilde g mathbf x cdot tilde mathbf n math which implies that math tilde mathbf n hat mathbf n math also is a valid representation of the local orientation. In order to avoid this ambiguity in the representation ... or anisotropic noise reduction Motion estimation DEFAULTSORT Orientation Computer Vision Category Computer vision ...   more details



  1. Triangulation (computer vision)

    Otheruses Triangulation disambiguation In computer vision triangulation refers to the process of determining a point in 3D space given its projections onto two, or more, images. In order to solve this problem it is necessary to know the parameters of the camera projection function from 3D to 2D for the cameras involved, in the simplest case represented by the camera matrix camera matrices . Triangulation is sometimes also referred to as reconstruction . The triangulation problem is in theory trivial, each point in an image corresponds to a line in 3D space such that all points on the line are projected to that first point in the image. If a pair of Correspondence problem corresponding points in two, or more images, can be found it must be the case that they are the projection of a common 3D point x . The set of lines generated by the image points must intersect at x and the algebraic formulation of the coordinates of x can be computed in a variety of ways, as is presented below. In practice, however, the coordinates of image points cannot be measured with arbitrary accuracy. Instead, various types of noise, such as geometric noise from lens distortion or interest point detection error, lead to inaccuracies in the measured image coordinates. As a consequence, the lines generated by the corresponding image points do not always intersect in 3D space. The problem, then, is to find a 3D point which optimally fits the measured image points. In the literature there are multiple proposals for how to define optimality and how to find the optimal 3D point. Since they are based on different ... matrix computer vision fundamental matrix . Given the measurement noise in math mathbf y 1 math ... cite book author Richard Hartley and Andrew Zisserman title Multiple View Geometry in computer vision publisher Cambridge University Press year 2003 id ISBN 978 0 521 54051 3 Category Geometry in computer vision ja pl Triangulacja grafika komputerowa ...   more details



  1. Master Tracks Pro

    mtp.php GVox Master Tracks Pro home page http tamw.atari users.net mtpro.htm MTP 3.6 for Atari ..., or by selected region. A Master Fader allows the user to control overall volume from one place ... than 17. References See http en.wikipedia.org wiki Wikipedia Footnotes on how to create references ...   more details



  1. Master of Computer Applications

    refimprove date March 2011 The Master of Computer Applications MCA is a postgraduate academic degree degree in computer application streams awarded in India . ref name AICTE http www.aicte india.org downloads mcadegree.pdf ref MCA is a three year 6 semester course. The students entering MCA must have a B.C.A. B.Sc. B.Com. degree with Mathematics as one of the subjects at 10 2 level or at graduation. Of the 6 semesters one semester is to be spent in an industry developing a software system. The MCA programme is planned to have 5 theory subject plus two laboratories each semester. The curriculum has a strong core covering information technology, business management and mathematics. ref name AICTE References Reflist Academic degrees DEFAULTSORT Master Of Computer Applications Category Master s degrees Computer Applications, Master Category Information technology qualifications Category Information technology education edu stub comp sci stub ...   more details



  1. Iiyama (company)

    Primarysources date August 2007 Deleted image removed Image Logo iiyama.gif right 200px Nihongo Iiyama Corporation iiyama Kabushiki gaisha iiyama is a manufacturer of high end computer monitors, medical monitors and televisions, named after the city Iiyama, Nagano Iiyama in Nagano Prefecture Nagano , Japan . The company was founded in 1973. External links http www.iiyama.com Official website multilingual Category Companies established in 1963 Category Display technology companies Category Electronics companies of Japan tech company stub japan company stub de Iiyama Unternehmen fr Iiyama ja Iiyama pl Iiyama firma ru Iiyama ...   more details



  1. Iiyama, Nagano

    dablink This article is about the city in Nagano, Japan. For the monitor and TV manufacturer, see Iiyama company . Infobox City Japan Name Iiyama JapaneseName MapImage Iiyama in Nagano prefecture.png Region Ch bu region Ch bu K shin etsu region K shin etsu Prefecture Nagano Prefecture Nagano District ... SymbolImage Flag of Iiyama, Nagano.png SymbolDescription Flag Mayor Masato Ishida CityHallPostalCode 389 2292 CityHallAddress 1110 1, aza Iiyama, Iiyama shi, Nagano ken CityHallPhone 0269 62 3111 CityHallLink http www.city.iiyama.nagano.jp Iiyama City nihongo Iiyama Iiyama shi is a cities of Japan ... date June 2008 , the city has no relationships with the TV and electronics manufacturer Iiyama company Iiyama . Activities There are many well known ski resorts in the area. These include Nozawa Onsen, Madarao Sympathique, Madarao Kogen, Tangram Ski Circus, Togari Onsen, Shinanodaira, Iiyama Kokusai and Hokuryuko ref http myoko nojiri.com madarao index.htm ski Madarao, Tangram and Iiyama Guide Skiing ref Iiyama also hosts a number of popular festivals such as the Iiyama Snow Festival in mid February, Iiyama Dontokoi in August, as well as the Newport Jazz Festival each summer in Madarao. ref http myoko nojiri.com madarao index.htm events Madarao, Tangram and Iiyama Guide Events ref References reflist External links commonscat inline http www.city.iiyama.nagano.jp Iiyama official website in Japanese http www.iiyama ouendan.net english index.html Iiyama Tourist Association Multilingual Guide http www.geocities.jp furusato kitahara Offizielle Webseite of the Region Iiyama in Japanese http blogs.yahoo.co.jp furusato kitahara Webblock in Japanese with informations about Iiyama Nagano Category Cities in Nagano Prefecture Nagano geo stub de Iiyama Nagano fa fr Iiyama Nagano gl Iiyama ko it Iiyama nl Iiyama ja pl Iiyama miasto pt Iiyama ro Iiyama, Nagano ru tl Iiyama, Nagano tg uk vi Iiyama, Nagano war Iiyama, Nagano zh ...   more details




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