Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Tracking and Learning Graphs on Image Sequences of Faces
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
Gabor Wavelet Networks for Object Representation
Mustererkennung 2000, 22. DAGM-Symposium
Affine Real-Time Face Tracking using Gabor Wavelet Networks
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
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In this article we present a new method for visual face tracking that is carried out in wavelet subspace. Firstly, a wavelet representation for the face template is created, which spans a low dimensional subspace of the image space. The wavelet representation of the face is a point in this wavelet subspace. The video sequence frames in which the face is tracked are orthogonally projected into this low-dimensional subspace. This can be done efficiently through a small number of local projections of the wavelet functions. All further computations are then performed in the low-dimensional subspace. The wavelet subspace inherets its invariance to rotation, scale and translation from the wavelets; shear invariance can also be achieved, which makes the subspace invariant to affine deformations.