DocumentCode
2879214
Title
Face Recognition Based on Improved Tensor Neighborhood Preserving Embedding
Author
Feng Li
Author_Institution
Dept. of Comput. Sci. & Technol., Huaqiao Univ., Xiamen, China
Volume
2
fYear
2012
fDate
28-29 Oct. 2012
Firstpage
351
Lastpage
354
Abstract
Tensor Neighborhood Preserving Embedding(TNPPE) is a efficient subspace dimensionality reduction model for face recognition. However, the singularity problems is still remained. in the paper, we propose an Improved Tensor Neighborhood Preserving Embedding (ITNPE) algorithm for face recognition. We evaluate the algorithm by applying it to YaleB and AR databases. the experiments demonstrate excellent performance of our algorithm for the dimensionality reduction in face recognition.
Keywords
face recognition; tensors; visual databases; AR database; ITNPE algorithm; YaleB database; face recognition; improved tensor neighborhood preserving embedding; subspace dimensionality reduction model; Algorithm design and analysis; Databases; Face; Face recognition; Image reconstruction; Tensile stress; Vectors; dimensionality reduction; face recognition; tensor image; tensor neighborhood preserving embedding;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-2646-9
Type
conf
DOI
10.1109/ISCID.2012.239
Filename
6406012
Link To Document