LAMP Seminar
Language and Media Processing Laboratory
Conference Room 4406
A.V. Williams Building
University of Maryland

Face Detection by Simultaneous Correspondence and Affine Transformation Optimization
Daniel DeMenthon
March 30 1998, 4PM

I will describe a possible approach to face detection using a technique that simultaneously finds the optimal correspondence and affine transformation between a 2D model and image features. This technique was developed by Gold, Rangarajan, Mjolsness and others at Yale. The face model could be learned from examples by a clustering method proposed by the same group.

The papers that describe these techniques can be viewed at Anand Rangarajan's home page,

1. Simultaneous correspondence and affine transformation:

Suguna Pappu, Steven Gold and Anand Rangarajan, "A framework for non-rigid matching and correspondence", Advances in Neural Information Processing Systems 8, pp. 795-801, 1996 (short paper).

Steven Gold, Anand Rangarajan, Chien-Ping Lu, Suguna Pappu and Eric Mjolsness, "New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence", in press, Pattern Recognition, 1997 (long paper).

2. Learning a face model:

Steven Gold, Anand Rangarajan and Eric Mjolsness, "Learning with Preknowledge: Clustering with point- and graph-matching distance measures", Neural Computation, 8(4):787-804, May 1996.


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