Ear Recognition with Variant Poses Using Locally Linear Embedding
Z Xie, Z Mu - … Intelligent Computing Theories and Applications. With …, 2008 - Springer
Z Xie, Z Mu
Advanced Intelligent Computing Theories and Applications. With Aspects of …, 2008•SpringerEar recognition with variant poses is an important problem. In this paper locally linear
embedding (LLE) is introduced considering the advantages of LLE, by analyzing the
shortcomings of most ear recognition methods currently when dealing with pose variations.
Experimental results demonstrate that applying LLE for ear recognition with variant poses is
feasible and can obtain the better recognition rate, which shows the validity of this algorithm.
embedding (LLE) is introduced considering the advantages of LLE, by analyzing the
shortcomings of most ear recognition methods currently when dealing with pose variations.
Experimental results demonstrate that applying LLE for ear recognition with variant poses is
feasible and can obtain the better recognition rate, which shows the validity of this algorithm.
Abstract
Ear recognition with variant poses is an important problem. In this paper locally linear embedding (LLE) is introduced considering the advantages of LLE, by analyzing the shortcomings of most ear recognition methods currently when dealing with pose variations. Experimental results demonstrate that applying LLE for ear recognition with variant poses is feasible and can obtain the better recognition rate, which shows the validity of this algorithm.
Springer
Showing the best result for this search. See all results