Shape, contour and grouping in computer vision
Computer vision has been successful in several important applications recently. Vision techniques can now be used to build very good models of buildings from pictures quickly and easily, to overlay operation planning data on a neuros- geon s view of a patient, and to recognise some of the gestures a...
Gardado en:
| Autor Principal: | |
|---|---|
| Outros autores: | , |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin ; Heidelberg :
Springer-Verlag Berlin Heidelberg : Springer e-books
[20..].
Cham : Springer Nature |
| Series: | Lecture notes in computer science
1681 |
| Sujets: | |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Shape, contour, and grouping in computer vision, David A. Forsyth, Joseph L. Mundy, Vito di Gesù ... [et al.] (eds.), 1999, Berlin, Springer, 1 vol. (VIII-345 p.), Lecture notes in computer science, 3-540-66722-9 • Shape, Contour and Grouping in Computer Vision, Texte imprimé, 9783662209899 |
Table des matières:
- An Empirical-Statistical Agenda for Recognition
- A Formal-Physical Agenda for Recognition
- Shape
- Shape Models and Object Recognition
- Order Structure, Correspondence, and Shape Based Categories
- Quasi-Invariant Parameterisations and Their Applications in Computer Vision
- Shading
- Representations for Recognition Under Variable Illumination
- Shadows, Shading, and Projective Ambiguity
- Grouping
- Grouping in the Normalized Cut Framework
- Geometric Grouping of Repeated Elements within Images
- Constrained Symmetry for Change Detection
- Grouping Based on Coupled Diffusion Maps
- Representation and Recognition
- Integrating Geometric and Photometric Information for Image Retrieval
- Towards the Integration of Geometric and Appearance-Based Object Recognition
- Recognizing Objects Using Color-Annotated Adjacency Graphs
- A Cooperating Strategy for Objects Recognition
- Statistics, Learning and Recognition
- Model Selection for Two View Geometry:A Review
- Finding Objects by Grouping Primitives
- Object Recognition with Gradient-Based Learning.