Image Understanding Using Two-Dimensional Models
While the previous chapter concentrated on how low-level image processing is guided by models of scenes, this chapter describes how two-dimensional models are used for recognizing objects from image features. We start with a simple case where objects are isolated and image features are almost completely extracted. Then we consider cases where objects occlude one another and image features are not completely extracted. In the course of recognizing objects, features are modified or new features are extracted.
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