Computer Vision Using Local Binary Patterns

• Κύριοι συγγραφείς: Pietikäinen, Matti (Συγγραφέας), Hadid, Abdenour (Συγγραφέας), Zhao, Guoying (Συγγραφέας), Ahonen, Timo (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London : Imprint: Springer, 2011.
• Σειρά: Computational Imaging and Vision, 40
• Θέματα: Mathematics.; Computer graphics.; Image processing.; Pattern recognition.; Biometrics (Biology).; Mathematics, general.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Image Processing and Computer Vision.; Pattern Recognition.; Biometrics.; Signal, Image and Speech Processing.

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...

Πίνακας περιεχομένων:

• 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.