Uncertain projective geometry : statistical reasoning for polyhedral object reconstruction
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 algorith...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Serier: | Lecture notes in computer science
3008 |
| Fag: | |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Uncertain projective geometry, statistical reasoning for polyhedral object reconstruction, Stephan Heuel, Berlin, Springer, 2004, 1 vol. (XVI-205 p.), Lecture notes in computer science, 3-540-22029-1 • Uncertain Projective Geometry, Texte imprimé, 9783662207802 |
Indholdsfortegnelse:
- 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.