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Shape, contour, and grouping in computer vision / David A. Forsyth [and others] (eds.).

Contributor(s): Forsyth, DavidMaterial type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science ; 1681.Publication details: Berlin ; New York : Springer, ©1999. Description: 1 online resource (viii, 345 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540468059; 3540468056Subject(s): Computer vision | Optical pattern recognition | Computer vision | Optical pattern recognitionGenre/Form: Online resources. | Electronic books. Additional physical formats: Print version:: Shape, contour, and grouping in computer vision.DDC classification: 006.3/7 LOC classification: TA1634 | .S47 1999Other classification: 54.74 | SS 4800 Online resources: Click here to access online
Contents:
An empirical-statistical agenda for recognition / David Forsyth -- A formal-physical agenda for recognition / Joe Mundy -- Shape models and object recognition / Jean Ponce [and others] -- Order structure, correspondence, and shape based categories / Stefan Carlsson -- Quasi-invariant parameterisations and their applications in computer vision / Jun Sato and Roberto Cipolla -- Representations for recognition under variable illumination / David J. Kriegman, Peter N. Belhumeur, and Athinodoros S. Georghiades -- Shadows, shading, and projecctive ambiguity / Peter N. Belhumeur, David J. Kriegman, and Alan L. Yuille -- Grouping in the normalized cut framework / Jitendra Malik [and others] -- Geometric grouping of repeated elements within images / Frederik Schaffalitzky and Andrew Zisserman -- Constrained symmetry for change detection / Rupert W. Curwen and Joe L. Mundy -- Grouping based on coupled diffusion maps / Marc Proesmans and Luc Van Gool -- Integrating geometric and photometric information for image retrieval / Cordelia Schmid, Andrew Zisserman, and Roger Mohr -- Towards the integration of geometric and appearance-based object recognition / Joe Mundy and Tushar Saxena -- Recognizing objects using color-annotated adjacency graphs / Peter Tu, Tushar Saxena, and Richard Hartley -- A cooperating strategy for objects recognition / Antonio Chella [and others] -- Model selection for two view geometry : a review / Philip H.S. Torr -- Finding objects by grouping primitives / David Forsyth, John Haddon, and Sergey Ioffe -- Object recognition with gradient-based learning / Yann LeCun [and others].
Summary: This book presents a unique collection of articles on shape, contour and grouping in computer vision. Besides revised versions of research papers originally presented at a workshop, the book contains expository articles introducing the area to a broader audience and surveying the state of the art. The 19 articles presented were carefully reviewed. They are organized in the following sections: introduction; shape; shading; grouping; representation and recognition; and statistics, learning and recognition.
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Proceedings of an international workshop.

Includes bibliographical references and index.

An empirical-statistical agenda for recognition / David Forsyth -- A formal-physical agenda for recognition / Joe Mundy -- Shape models and object recognition / Jean Ponce [and others] -- Order structure, correspondence, and shape based categories / Stefan Carlsson -- Quasi-invariant parameterisations and their applications in computer vision / Jun Sato and Roberto Cipolla -- Representations for recognition under variable illumination / David J. Kriegman, Peter N. Belhumeur, and Athinodoros S. Georghiades -- Shadows, shading, and projecctive ambiguity / Peter N. Belhumeur, David J. Kriegman, and Alan L. Yuille -- Grouping in the normalized cut framework / Jitendra Malik [and others] -- Geometric grouping of repeated elements within images / Frederik Schaffalitzky and Andrew Zisserman -- Constrained symmetry for change detection / Rupert W. Curwen and Joe L. Mundy -- Grouping based on coupled diffusion maps / Marc Proesmans and Luc Van Gool -- Integrating geometric and photometric information for image retrieval / Cordelia Schmid, Andrew Zisserman, and Roger Mohr -- Towards the integration of geometric and appearance-based object recognition / Joe Mundy and Tushar Saxena -- Recognizing objects using color-annotated adjacency graphs / Peter Tu, Tushar Saxena, and Richard Hartley -- A cooperating strategy for objects recognition / Antonio Chella [and others] -- Model selection for two view geometry : a review / Philip H.S. Torr -- Finding objects by grouping primitives / David Forsyth, John Haddon, and Sergey Ioffe -- Object recognition with gradient-based learning / Yann LeCun [and others].

This book presents a unique collection of articles on shape, contour and grouping in computer vision. Besides revised versions of research papers originally presented at a workshop, the book contains expository articles introducing the area to a broader audience and surveying the state of the art. The 19 articles presented were carefully reviewed. They are organized in the following sections: introduction; shape; shading; grouping; representation and recognition; and statistics, learning and recognition.

English.

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