Title :
Face recognition using multiple image view line segments
Author :
Aeberhard, Stefan ; De Vel, Olivier
Author_Institution :
Dept. of Comput. Sci., James Cook Univ. of North Queensland, Townsville, Qld., Australia
Abstract :
Describes an image-based face recognition technique using line segments of 2D image views that achieves high generalisation recognition rates for rotations both in and out of the plane, is invariant to scaling, and has reduced execution times. Results show that the algorithm is superior compared with benchmark algorithms and is able to recognise test views in quasi real-time
Keywords :
face recognition; image segmentation; 2D image views; benchmark algorithms; image-based face recognition technique; multiple image view line segments; quasi real-time recognition; test views; Authentication; Computer science; Face recognition; Image recognition; Image segmentation; Lighting; Mathematics; Physics; Testing; Transaction databases;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711912
