On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities

Provides important basic concepts, efficient methods as well as practical "how-to" examples for the use of hierarchical graphical models Discusses the importance and the relationship between sharing and similarity of objects and object parts for efficient recognition and learning approaches Comprehensive survey of related work divided in categories such as part-based, compositional or biologically inspired models Includes a brief review of probabilistic graphical models