Shape, contour, and grouping in computer vision /
Saved in:
Imprint: | Berlin ; New York : Springer, c1999. |
---|---|
Description: | viii, 345 p. : ill. ; 24 cm. |
Language: | English |
Series: | Lecture notes in computer science 1681 |
Subject: | |
Format: | E-Resource Print Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/4114861 |
Table of Contents:
- Introduction / David Forsyth and Joe Mundy
- An Empirical-Statistical Agenda for Recognition / David Forsyth
- A Formal-Physical Agenda for Recognition / Joe Mundy
- Shape Models and Object Recognition / Jean Ponce, Martha Cepeda and Sung-il Pae / [et al.]
- 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 Projective Ambiguity / Peter N. Belhumeur, David J. Kriegman and Alan L. Yuille
- Grouping in the Normalized Cut Framework / Jitendra Malik, Jianbo Shi and Serge Belongie / [et al.]
- 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, Vito Di Gesu and Ignazio Infantino / [et al.]
- 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, Patrick Haffner and Leon Bottou / [et al.].