9.67 Object and Face Recognition

Spring 2001

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

Course Highlights

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

Course Description

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.

*Some translations represent previous versions of courses.

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Staff

Instructor:
Prof. Pawan Sinha

Course Meeting Times

Lectures:
Two sessions / week
1.5 hours / session

Level

Undergraduate / Graduate