You might also like

More about Uncertain Projective Geometry

• Book details
• Synopsis
• Trending among others

You get 150 loyalty points

Book synopsis

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. §The book addresses researchers and advanced students interested in algebraic projective geometry for image analysis, in statistical representation of objects and transformations, or in generic tools for testing and estimating within the context of geometric multiple-view analysis.

Book details

Book category Books in English Mathematics & science Mathematics Geometry

• Full title: Uncertain Projective Geometry
• Subtitle: Statistical Reasoning for Polyhedral Object Reconstruction
• Author: S. Heuel
• Language: English
• Binding: Paperback
• Number of pages: 210
• EAN: 9783540220299
• ISBN: 3540220291
• ID: 01559389
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 720 g
• Dimensions: 235 × 155 × 13 mm
• Date of publishing: 29. April 2004

Trending among others

---

---

---