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article · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011

Face recognition based tensor structure

Deqiang Yang, Zhi-xia Ye, Yang Zhao, Limei Liu

Cited by 1Abstract and details only

Abstract

Face recognition has broad applications, and it is a difficult problem since face image can change with photographic conditions, such as different illumination conditions, pose changes and camera angles. How to obtain some invariable features for a face image is the key issue for a face recognition algorithm. In this paper, a novel tensor structure of face image is proposed to represent image features with eight directions for a pixel value. The invariable feature of the face image is then obtained from gradient decomposition to make up the tensor structure. Then the singular value decomposition (SVD) and principal component analysis (PCA) of this tensor structure are used for face recognition. The experimental results from this study show that many difficultly recognized samples can correctly be recognized, and the recognition rate is increased by 9%-11% in comparison with same type of algorithms.

Cite this paper

APA 7

Yang, D., Ye, Z.-X., Zhao, Y., & Liu, L. (2011). Face recognition based tensor structure. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, 8335, 83350E. https://doi.org/10.1117/12.917596

MLA 9

Yang, Deqiang, et al. “Face recognition based tensor structure.” Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, vol. 8335, 2011, p. 83350E, https://doi.org/10.1117/12.917596.

Chicago

Yang, Deqiang, Zhi-xia Ye, Yang Zhao, and Limei Liu. 2011. “Face recognition based tensor structure.” Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 8335: 83350E. https://doi.org/10.1117/12.917596.

Harvard

Yang, D. et al. (2011) ‘Face recognition based tensor structure’, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, 8335, p. 83350E. Available at: https://doi.org/10.1117/12.917596.

BibTeX
@article{yang2011face,
  title = {{Face recognition based tensor structure}},
  author = {Yang, Deqiang and Ye, Zhi-xia and Zhao, Yang and Liu, Limei},
  journal = {Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE},
  volume = {8335},
  pages = {83350E},
  year = {2011},
  doi = {10.1117/12.917596}
}

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