Uncertain Projective Geometry by Stephan Heuel
Uncertain Projective Geometry: Statistical Reasoning for Polyhedral Object Reconstruction (Lecture Notes in Computer Science) by Stephan Heuel
English | June 14, 2004 | ISBN: 3540220291 | 224 Pages | PDF | 4 MB
English | June 14, 2004 | ISBN: 3540220291 | 224 Pages | PDF | 4 MB
Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, as well as in efficient and versatile algorithms for computer vision and image analysis.
This book provides a coherent integration of algebraic projective geometry and spatial reasoning under uncertainty with applications in computer vision. Beyond systematically introducing the theoretical foundations from geometry and statistics and clear rules for performing geometric reasoning under uncertainty, the author provides a collection of detailed algorithms.