Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
A Survey Of Approaches To Three-Dimensional Face Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
IEICE - Transactions on Information and Systems
A novel nearest feature space classifier for face recognition
ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
Human face recognition using volume feature, fuzzy c-means and membership matching score
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Hi-index | 0.00 |
In this paper, we propose the method to search the appropriate pose position for matching in invariant range image multi-pose face recognition system. The center of gravity search is used for searching pose position in range image face database (RIFD). Reference persons data base are grouped by using K-means cluster for speed up processing time. This approach is developed for implementation the invariant range image multi-pose face recognition system. This face recognition system is created to function covering pose variation region ±24 degrees up/down and left/right (UDLR) from initial pose. RIFD used in this face recognition is based on 3-D Graphics database. For this advantage, we could solve scale, center and pose error problem by using geometric transform. RIFD that is obtained from range image sensors will be used for operation by reducing data size. RIFD will be transformed by the gradient transform into significant feature and matching by using membership matching score. The proposed method was tested using facial range images from 130 persons with normal facial expressions. The processing time of the recognition system has to be better than 3LMS by the speeding up to 10 times without any change of recognition rate.