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9.67 2001¬K©u½Òµ{¡Gª«Åé»PÁy¤Õ¿ëÃÑ(Object and Face Recognition, Spring 20010


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This image illustrates the variability of the features that can be used to perform object and face recognition.
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This image illustrates the variability of the features that can be used to perform object and face recognition. (Image by Prof. Pawan Sinha.)

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This course features in-depth study materials and assignments designed to explore all aspects of object and face recognition.

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Provides a comprehensive introduction to key issues and findings in object recognition in experimental, neural, computational, and applied domains. Emphasizes the problem of representation, exploring the issue of how 3-D objects should be encoded so as to efficiently recognize them from 2-D images. Second half focuses on face recognition, an ecologically important instance of the general object recognition problem. Describes experimental studies of human face recognition performance and recent attempts to mimic this ability in artificial computational systems.
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