Object Representation in Computer Vision II

This book constitutes the strictly refereed post-workshop proceedings of the second International Workshop on Object Representation in Computer Vision, held in conjunction with ECCV '96 in Cambridge, UK, in April 1996.

Author: England) Eccv 96 International Workshop (1996 Cambridge

Publisher: Springer Science & Business Media

ISBN: 3540617507

Category: Computers

Page: 422

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This book constitutes the strictly refereed post-workshop proceedings of the second International Workshop on Object Representation in Computer Vision, held in conjunction with ECCV '96 in Cambridge, UK, in April 1996. The 15 revised full papers contained in the book were selected from 45 submissions for presentation at the workshop. Also included are three invited contributions based on the talks by Takeo Kanade, Jan Koenderink, and Ram Nevatia as well as a workshop report by the volume editors summarizing several panel discussions and the general state of the art in the area.

Object Representation in Computer Vision

The method is based on matching two - dimensional geometric structures between successive frames of an image sequence . A bitmap representing the object being tracked at one time frame is matched to features extracted from the image at ...

Author: Martial Hebert

Publisher: Springer Science & Business Media

ISBN: 3540604774

Category: Computers

Page: 376

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This book documents the scientific outcome of the International NSF-ARPA Workshop on Object Representation in Computer Vision, held in New York City in December 1994 with invited participants chosen among the recognized experts in the field. The volume presents the complete set of papers in revised full-length versions. In addition, the first paper is a report on the workshop in which the panel discussions as well as the conclusions and recommendations reached by the workshop participants are summarized. Altogether the volume provides an excellent, in-depth view of the state of the art in this active area of research and applications.

Shape Contour and Grouping in Computer Vision

[1] R. Basri, L. Costa, D. Geiger and D. Jacobs Determining the similarity of deformed objects, Vision Research, 38, ... Combinatorial Geometry for Shape Representation and Indexing, Object Representation in Computer Vision II, ...

Author: David A. Forsyth

Publisher: Springer Science & Business Media

ISBN: 9783540667223

Category: Computers

Page: 340

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Computer vision has been successful in several important applications recently. Vision techniques can now be used to build very good models of buildings from pictures quickly and easily, to overlay operation planning data on a neuros- geon’s view of a patient, and to recognise some of the gestures a user makes to a computer. Object recognition remains a very di cult problem, however. The key questions to understand in recognition seem to be: (1) how objects should be represented and (2) how to manage the line of reasoning that stretches from image data to object identity. An important part of the process of recognition { perhaps, almost all of it { involves assembling bits of image information into helpful groups. There is a wide variety of possible criteria by which these groups could be established { a set of edge points that has a symmetry could be one useful group; others might be a collection of pixels shaded in a particular way, or a set of pixels with coherent colour or texture. Discussing this process of grouping requires a detailed understanding of the relationship between what is seen in the image and what is actually out there in the world.

Computer Vision ECCV 2006

9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part I Aleš Leonardis, Horst Bischof, Axel Pinz. 5 Conclusions GCs have been used in ... Object Representation in Computer Vision II (1996) 25–51 6.

Author: Aleš Leonardis

Publisher: Springer

ISBN: 9783540338338

Category: Computers

Page: 639

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The four-volume set comprising LNCS volumes 3951/3952/3953/3954 constitutes the refereed proceedings of the 9th European Conference on Computer Vision, ECCV 2006. The 192 papers presented cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, statistical models and visual learning, 3D reconstruction and multi-view geometry, energy minimization, tracking and motion, segmentation, shape from X, visual tracking, face detection and recognition, and more.

Toward Category Level Object Recognition

In Proceedings of the 7th European Conference on Computer Vision, Copenhagen, Denmark, volume 1, pages 414–431, 2002. ... In J. Ponce, M. Hebert, and A. Zisserman, editors, Object Representation in Computer Vision II, pages 11–24, 1996.

Author: Jean Ponce

Publisher: Springer Science & Business Media

ISBN: 9783540687948

Category: Computers

Page: 622

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This volume is a post-event proceedings volume and contains selected papers based on presentations given, and vivid discussions held, during two workshops held in Taormina in 2003 and 2004. The 30 thoroughly revised papers presented are organized in the following topical sections: recognition of specific objects, recognition of object categories, recognition of object categories with geometric relations, and joint recognition and segmentation.

Visual Perception Through Video Imagery

... “Recognizing 3D objects using photometric invariant”, Proceedings of the 5th International Conference on Computer Vision, Cambridge, ... PONCE J., ZISSERMAN A. and HEBERT M. (Ed.), Object Representation in Computer Vision II, no.

Author: Michel Dhome

Publisher: John Wiley & Sons

ISBN: 9781118624005

Category: Technology & Engineering

Page: 328

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For several decades researchers have tried to construct perceptionsystems based on the registration data from video cameras. Thiswork has produced various tools that have made recent advancespossible in this area. Part 1 of this book deals with the problem of the calibrationand auto-calibration of video captures. Part 2 is essentiallyconcerned with the estimation of the relative object/captureposition when a priori information is introduced (the CAD model ofthe object). Finally, Part 3 discusses the inference of densityinformation and the shape recognition in images.

Computer Vision ECCV 2010

Active Mask Hierarchies for Object Detection Yuanhao Chen1, Long (Leo) Zhu2, and Alan Yuille1 1 Department of Statistics, UCLA 2 CSAIL, MIT Abstract. This paper presents a new object representation, Active Mask Hierarchies (AMH), ...

Author: Kostas Daniilidis

Publisher: Springer

ISBN: 9783642155550

Category: Computers

Page: 807

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The 2010 edition of the European Conference on Computer Vision was held in Heraklion, Crete. The call for papers attracted an absolute record of 1,174 submissions. We describe here the selection of the accepted papers: Thirty-eight area chairs were selected coming from Europe (18), USA and Canada (16), and Asia (4). Their selection was based on the following criteria: (1) Researchers who had served at least two times as Area Chairs within the past two years at major vision conferences were excluded; (2) Researchers who served as Area Chairs at the 2010 Computer Vision and Pattern Recognition were also excluded (exception: ECCV 2012 Program Chairs); (3) Minimization of overlap introduced by Area Chairs being former student and advisors; (4) 20% of the Area Chairs had never served before in a major conference; (5) The Area Chair selection process made all possible efforts to achieve a reasonable geographic distribution between countries, thematic areas and trends in computer vision. Each Area Chair was assigned by the Program Chairs between 28–32 papers. Based on paper content, the Area Chair recommended up to seven potential reviewers per paper. Such assignment was made using all reviewers in the database including the conflicting ones. The Program Chairs manually entered the missing conflict domains of approximately 300 reviewers. Based on the recommendation of the Area Chairs, three reviewers were selected per paper (with at least one being of the top three suggestions), with 99.

Advances in Pattern Recognition

D.A. Forsyth et . al . Finding pictures of objects in large collections of images . In Proceedings of the International Workshop on Object Representation in Computer Vision II , ECCV - 96 , pages 335-360 , 1996 . 15. J. Hafner et . al .

Author: Adnan Amin

Publisher: Springer Science & Business Media

ISBN: 3540648585

Category: Computers

Page: 1084

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Active Contours

Non-euclidean object representations for calibration-free video overlay. In Ponce, J., Zisserman, A., and Hebert, M., editors, Object Representation in Computer Vision II, Lecture Notes in Computer Science, 381–401. Springer-Verlag.

Author: Andrew Blake

Publisher: Springer Science & Business Media

ISBN: 9781447115557

Category: Computers

Page: 352

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Active Contours deals with the analysis of moving images - a topic of growing importance within the computer graphics industry. In particular it is concerned with understanding, specifying and learning prior models of varying strength and applying them to dynamic contours. Its aim is to develop and analyse these modelling tools in depth and within a consistent framework.

Image Analysis and Recognition

In J. Ponce, A. Zisserman, and M. Hebert, editors, Object Representation for Computer Vision II, pages 247–269, Cambridge, UK, April 1996. Springer Verlag. 8. H. Murase and S. K. Nayar. Visual learning and recognition of 3-d objects ...

Author: Mohamed Kamel

Publisher: Springer

ISBN: 9783540319382

Category: Computers

Page: 1279

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ICIAR 2005, the International Conference on Image Analysis and Recognition, was the second ICIAR conference, and was held in Toronto, Canada. ICIAR is organized annually, and alternates between Europe and North America. ICIAR 2004 was held in Porto, Portugal. The idea of o?ering these conferences came as a result of discussion between researchers in Portugal and Canada to encourage collaboration and exchange, mainly between these two countries, but also with the open participation of other countries, addressing recent advances in theory, methodology and applications. TheresponsetothecallforpapersforICIAR2005wasencouraging.From295 full papers submitted, 153 were ?nally accepted (80 oral presentations, and 73 posters). The review process was carried out by the Program Committee m- bersandotherreviewers;allareexpertsinvariousimageanalysisandrecognition areas. Each paper was reviewed by at least two reviewers, and also checked by the conference co-chairs. The high quality of the papers in these proceedings is attributed ?rst to the authors,and second to the quality of the reviews provided by the experts. We would like to thank the authors for responding to our call, andwewholeheartedlythankthe reviewersfor theirexcellentwork,andfortheir timely response. It is this collective e?ort that resulted in the strong conference program and high-quality proceedings in your hands.