Multi-pose ear recognition base on a local tangent space alignment algorithm
Ouyang Ding-heng · Journal of University of Science and Technology Beijing · 2010
As an effective nonlinear dimensionality reduction tool,the local tangent space alignment algorithm(LTSA)can obtain the global low-dimensional embedded coordinates of sampled data from a high-dimensional space.Introduced into multi-pose ear image recognition,LTSA has to improve to solve its problems in image recognition.An adaptive neighborhood selection strategy is proposed and a novel multi-pose ear recognition method based on this improved LTSA is present.Experimental results illustrate that it is an effective multi-pose image recognition method which can obtain better recognition rates than the traditional linear ones when the pose varies a lot.