Model-based varying pose face detection and facial feature registration in video images
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Model-based varying pose face detection and facial feature registration in colour images
Pattern Recognition Letters
Non-parametric and light-field deformable models
Computer Vision and Image Understanding
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Flexible models of object classes, based on linear combinations of prototypical images, are capable of matching novel images of the same class and have been shown to be a powerful tool to solve several fundamental vision tasks such as recognition, synthesis and correspondence. The key problem in creating a specific flexible model is the computation of pixelwise correspondence between the prototypes, a task done until now in a semiautomatic way. In this paper we describe an algorithm that automatically bootstraps the correspondence between the prototypes. The algorithm - which can be used for 2D images as well as for 3D models - is shown to synthesize successfully a flexible model of frontal face images and a flexible model of handwritten digits.