A 3D face recognition algorithm based on nonuniform re-sampling correspondence
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
3D face recognition based on sparse representation
The Journal of Supercomputing
On the simultaneous recognition of identity and expression from BU-3DFE datasets
Pattern Recognition Letters
3D face recognition using local binary patterns
Signal Processing
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This paper presents a novel method for pixel-wisecorrespondence between 3D face images. The methodis based on uniform gridded-resampling of different3D faces and advances a particular even-partitionprocedure including uniform face segmentation andiso-curves initialization for correspondence. Pixel-wisecorrespondence between 3D face images is the basis ofa 3D face model, which is capable of analyzing novelface images. Pixel-wise correspondence (which canalso be called point-to-point correspondence) between3D prototypes is currently based mainly on severalalgorithms derived from optical flow. Using a series ofexamples, our approach has shown its advantages andbeen proved to be promising for pixel-wisecorrespondence between 3D face images.