Computer vision using local binary patterns
The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying texture methods to various computer vision problems and applications. The focus of this research has broadened from 2D textures to 3D textures and spatiotemporal (dynamic) textures. Also, where texture wa...
Guardat en:
| Autors principals: | , , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2011. |
| Col·lecció: | Computational Imaging and Vision
40 |
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Description d'après consultation du 26 avril 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computer Vision Using Local Binary Patterns, Matti Pietikäinen, Guoying Zhao, Abdenour Hadid [et. al.], London, Springer Verlag, 2011, 1 vol. (XV-207p.), Computational imaging and vision, 978-0-85729-747-1 |
Taula de continguts:
- Background Local binary patterns for still images Spatiotemporal LBP Texture classification and segmentation Description of interest regions Applications in image retrieval and 3D recognition Recognition and segmentation of dynamic textures Background subtraction Recognition of actions Face analysis using still images Face analysis using image sequences Visual recognition of spoken phrases LBP in different applications