Recognition of overlapping objects.

Taieb R. Damerji
This thesis describes the design and implementation of a model-based vision system for the recognition of partially occluded objects. The system can detect occlusion. It can also recognize and locate the objects forming the occlusion scene. The system has two modes of operation: a learning mode and a recognition mode. In the learning mode the objects to be recognized are analyzed, their boundaries processed and a model representing each object is created and added to...
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