Willkommen, schön sind Sie da!
Logo Ex Libris

Uncertain Projective Geometry

  • Kartonierter Einband
  • 228 Seiten
(0) Erste Bewertung abgeben
Bewertungen
(0)
(0)
(0)
(0)
(0)
Alle Bewertungen ansehen
Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basi... Weiterlesen
20%
78.00 CHF 62.40
Sie sparen CHF 15.60
Print on Demand - Auslieferung erfolgt in der Regel innert 4 bis 6 Wochen.
Bestellung & Lieferung in eine Filiale möglich

Beschreibung

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.



Includes supplementary material: sn.pub/extras



Inhalt
1 Introduction.- 2 Representation of Geometric Entities and Transformations.- 3 Geometric Reasoning Using Projective Geometry.- 4 Statistical Geometric Reasoning.- 5 Polyhedral Object Reconstruction.- 6 Conclusions.- A Notation.- B Linear Algebra.- C Statistics.

Produktinformationen

Titel: Uncertain Projective Geometry
Untertitel: Statistical Reasoning for Polyhedral Object Reconstruction
Autor:
EAN: 9783540220299
ISBN: 3540220291
Format: Kartonierter Einband
Herausgeber: Springer Berlin Heidelberg
Genre: Informatik
Anzahl Seiten: 228
Gewicht: 353g
Größe: H235mm x B155mm x T12mm
Jahr: 2004
Untertitel: Englisch
Auflage: 2004

Weitere Produkte aus der Reihe "Lecture Notes in Computer Science"