Geometric Invariance in Computer Vision (Artificial Intelligence)

by Joseph L. Mundy and Andrew Zisserman

Joseph L. Mundy (Editor), Andrew Zisserman (Editor), Daniel G. Bobrow (Editor), Michael Brady (Editor), Randall Davis (Editor), and Patrick Henry Winston (Editor)

0 ratings • 0 reviews • 0 shelved
Book cover for Geometric Invariance in Computer Vision

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

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.
  • ISBN10 0262132850
  • ISBN13 9780262132855
  • Publish Date 27 May 1992
  • Publish Status Transferred
  • Out of Print 28 February 2001
  • Publish Country US
  • Publisher MIT Press Ltd
  • Imprint MIT Press
  • Format Hardcover
  • Pages 560
  • Language English