From Artificial Intelligence Series

Geometric Invariance in Computer Vision

Edited by Joseph L. Mundy and Andrew Zisserman

Overview

Author(s)

Summary

These twenty-three contributions focus on the most recent developments in the rapidly evolving field of geometric invariants and their application to computer vision. The introduction summarizes the basics of invariant theory, discusses how invariants are related to problems in computer vision, and looks at the future possibilities, particularly the notion that invariant analysis might provide a solution to the elusive problem of recognizing general curved 3D objects from an arbitrary viewpoint. The remaining chapters consist of original papers that present important developments as well as tutorial articles that provide useful background material. These chapters are grouped into categories covering algebraic invariants, nonalgebraic invariants, invariants of multiple views, and applications. An appendix provides an extensive introduction to projective geometry and its applications to basic problems in computer vision.

Hardcover

Out of Print ISBN: 9780262132855 560 pp. |

Editors

Joseph L. Mundy

Joseph L. Mundy is a Professor of Engineering at Brown University.

Andrew Zisserman

Andrew Zisserman is a Science and Engineering Research Council (SERC) Research Fellow in the Department of Computer Science at the University of Edinburgh.