Advanced Multimedia Processing Lab -- Group Member -- Ta-Chien Lin

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Group Member

Ta-Chien Lin
Visiting Scholar


Office: Porter Hall B10
Lab: Porter Hall B6
Phone: 412-268-7100
Fax: 412-268-3890
Mailing Address:
Department of ECE, Carnegie Mellon University,
5000 Forbes Avenue, Pittsburgh,
PA 15213-3890

[Research Interests]        [Project]

Research Interests

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Hierarchical Face Recognition - Computational Load Reduction

Typical eigenface-based face recognition approach requires a face space of 200~400 dimensions. A query will involve computing 200~400 matrix calculations to derive the feature vector, and then identifying the best match in the feature database. This database can be viewed as a 1-level tree with N leaves (each leaf represents a class). The feature database can be represented as a binary tree; this transforms place a single N-class classification problem into m 2-class classification problems, with mlog (n). The computational requirement of matrix calculation is shown to be (m*d) < 200~400, where d is the dimension of face space needed to solve a 2-class problem.

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Revised: July 15, 2006 .