Shape, contour, and grouping in computer vision - Info and Reading Options

"Shape, contour, and grouping in computer vision" Table Of Contents:

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

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