A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Face verification from 3D and grey level clues
Pattern Recognition Letters
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
3D Shape-based Face Recognition using Automatically Registered Facial Surfaces
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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In 3D face recognition systems, 3D facial shape information plays an important role. 3D face recognizers usually depend on point cloud representation of faces where faces are represented as a set of 3D point coordinates. In many of the previous studies, faces are represented holistically and the discriminative contribution of local regions are assumed to be equivalent. In this work, we aim to design a local region-based 3D face representation scheme where the discriminative contribution of local facial regions are taken into account by using a subset selection mechanism. In addition to the subset selection methodology, we have extracted patch descriptors and coded them using Linear Discriminant Analysis (LDA). Our experiments on the 3D_RMA database show that both the proposed floating backward subset selection scheme and the LDA-based coding of region descriptors improve the classification accuracy, and reduce the representation complexity significantly.