Reconstruction and recognition of occluded facial expressions using PCA.
(pp. pp. 36-47).
Descriptions of three methods for reconstructing incomplete facial expressions using principal component analysis are given, projection to the model plane, single component projection and replacement by the conditional mean - the facial expressions being represented by feature points. It is established that one method gives better reconstruction accuracy than the others. This method is used on a systematic reconstruction problem, the reconstruction of occluded top and bottom halves of faces. The results indicate that occluded-top expressions can be reconstructed with little loss of expression recognition - occluded-bottom expressions are reconstructed less accurately but still give comparable performance to human rates of facial expression recognition. © Springer-Verlag Berlin Heidelberg 2007.
|Title:||Reconstruction and recognition of occluded facial expressions using PCA|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
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