A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
3D model-based pose invariant face recognition from multiple views
2007
IET Computer Vision
A 3D model-based pose invariant face recognition method that can recognise a human face from its multiple views is proposed. First, pose estimation and 3D face model adaptation are achieved by means of a three-layer linear iterative process. Frontal view face images are synthesised using the estimated 3D models and poses. Then the discriminant 'waveletfaces' are extracted from these synthesised frontal view images. Finally, corresponding nearest feature space classifier is implemented.
doi:10.1049/iet-cvi:20060014
fatcat:evmxe7o5tbf5fflac343onnzfi