portada uncertain projective geometry: statistical reasoning for polyhedral object reconstruction (en Inglés)

uncertain projective geometry: statistical reasoning for polyhedral object reconstruction (en Inglés)

Formato

Libro Físico

Autor

Stephan Heuel

Editorial

Springer

Año

2004

Idioma

Inglés

N° páginas

210

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x1.2 cm

Peso

0.33 kg.

ISBN

3540220291

ISBN13

9783540220299

Categorías

Geometría
Reconocimiento de formas
Visión por ordenador

uncertain projective geometry: statistical reasoning for polyhedral object reconstruction (en Inglés)

Stephan Heuel (Autor) · Springer · Tapa Blanda

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Reseña del libro "uncertain projective geometry: statistical reasoning for polyhedral object reconstruction (en Inglés)"

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.