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Könyv Uncertain Projective Geometry S. Heuel

Uncertain Projective Geometry

Statistical Reasoning for Polyhedral Object Reconstruction

Szerző: S. Heuel
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
23 174 Ft
Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayle...

Információk a könyvről

Szerző
S. Heuel
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2004
oldal
210
EAN
9783540220299
ISBN
3540220291
Enbook ID
01559389
Kiadó
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Súly
720
Méretek
155 x 235 x 13

Teljes leírás

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.

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