Title :
Generic Object Recognizer Design
Author_Institution :
Brown University
Abstract :
The problem of generic object recognition is discussed in relation to the current research emphasis in the computer vision community on learning methods for classz~cationM. utual information is proposed as a tool for identiying the salient features of a class and as a mechanism for constructing class recognizers from an engineering design standpoint. The concept of obsewability is introduced to define classes that may differ from human concepts but are necessary to achieve high recognition performance.
Keywords :
Computer vision; Design engineering; Humans; Image segmentation; Learning systems; Mutual information; Object recognition; Shape; Topology; Vehicles;
Conference_Titel :
Computer Vision for Interactive and Intelligent Environment, 2005
Print_ISBN :
0-7695-2524-5
DOI :
10.1109/CVIIE.2005.9