Survey On Segmentation And Recognition Of Categorized Objects
Keywords:
Image segmentation, object recognition, segmentation of categorized objects, auto-context modelAbstract
Object recognition is the task of finding and identifying objects in an image or video sequence. Object categorization is a typical task of computer vision which involves determining whether or not an image contains some specific category of object. The idea is related with recognition, identification, and detection. The object recognition problem can be defined as a labeling problem based on models of known objects. This is closely tied to the segmentation problem. Without at least a partial recognition of objects, segmentation cannot be done, and without segmentation, object recognition is not possible. Object recognition is generally posed as the problem of matching a representation of the target object with the available image features, while rejecting the background features. This paper compares various image segmentation methods and recognition of categorized objects from noisy web image collection using auto-context model.
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