This monograph is devoted to the problem of inferring geometric information about arbitrarily curved surfaces from visual cues; this is a central problem in computer vision with immediate relevance for robot manipulation and navigation.
The author develops computational theories and techniques relating visual information arising from viewer movements to the differential geometry of visible surfaces. The theories developed have been implemented and tested using a real-time tracking system based on deformable contours. Applications of the techniques to geometric modelling, obstacle avoidance, navigation, and object manipulation are presented.

Bibliographic Information

Book Title: Active Visual Inference of Surface Shape
Authors: Roberto Cipolla
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-60642-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1996
Softcover ISBN: 978-3-540-60642-0Published: 04 December 1995
eBook ISBN: 978-3-540-48522-3Published: 06 July 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 196
Topics: Computational Mathematics and Numerical Analysis, Differential Geometry, Simulation and Modeling, Image Processing and Computer Vision, Artificial Intelligence, Pattern Recognition

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Active Visual Inference of Surface Shape

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Table of contents (6 chapters)

Front Matter

Introduction

Surface shape from the deformation of apparent contours

Deformation of apparent contours — Implementation

Qualitative shape from images of surface curves

Orientation and time to contact from image divergence and deformation

Conclusions

Back Matter

Keywords

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