Neighbourhood discriminant locally linear embedding in face recognition

Pang Ying Han, Beng Jin Teoh, Wong Eng Kiong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Face images are often very high-dimensional and complex. However, the actual underlying structure can be characterized by a small number of features. Hence, locally linear embedding (LIE) is proposed as a nonlinear dimension reduction technique to deal this problem. LLE learns the intrinsic manifold embedded in the high dimensional ambient space by minimizing the global reconstruction error of the neighbourhood in the data set. LLE is popular in analyzing face images with different poses, illuminations or facial expressions for one subject class. It is developed based on the assumption that data that is distributed on a single manifold is having the same class label; hence the process of neighborhood selection is non class-specific. However, this is inappropriate to face recognition as face recognition learns in multiple manifolds where each representing data on one specific class. Here, we modify the original LLE by embedding prior class information in the process of neighborhood selection. Experimental results demonstrate that our technique consistently outperforms the original LLE in ORL, PLE and FRGC databases.

Original languageEnglish
Title of host publicationProceedings - 5th International Conference on Computer Graphics, Imaging and Visualisation, Modern Techniques and Applications, CGIV
Pages223-228
Number of pages6
DOIs
Publication statusPublished - 2008 Nov 10
Event5th International Conference on Computer Graphics, Imaging and Visualisation, Modern Techniques and Applications, CGIV - Penang, Malaysia
Duration: 2008 Aug 262008 Aug 28

Other

Other5th International Conference on Computer Graphics, Imaging and Visualisation, Modern Techniques and Applications, CGIV
CountryMalaysia
CityPenang
Period08/8/2608/8/28

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Face recognition
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Lighting

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Han, P. Y., Teoh, B. J., & Kiong, W. E. (2008). Neighbourhood discriminant locally linear embedding in face recognition. In Proceedings - 5th International Conference on Computer Graphics, Imaging and Visualisation, Modern Techniques and Applications, CGIV (pp. 223-228). [4627011] https://doi.org/10.1109/CGIV.2008.63
Han, Pang Ying ; Teoh, Beng Jin ; Kiong, Wong Eng. / Neighbourhood discriminant locally linear embedding in face recognition. Proceedings - 5th International Conference on Computer Graphics, Imaging and Visualisation, Modern Techniques and Applications, CGIV. 2008. pp. 223-228
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Han, PY, Teoh, BJ & Kiong, WE 2008, Neighbourhood discriminant locally linear embedding in face recognition. in Proceedings - 5th International Conference on Computer Graphics, Imaging and Visualisation, Modern Techniques and Applications, CGIV., 4627011, pp. 223-228, 5th International Conference on Computer Graphics, Imaging and Visualisation, Modern Techniques and Applications, CGIV, Penang, Malaysia, 08/8/26. https://doi.org/10.1109/CGIV.2008.63

Neighbourhood discriminant locally linear embedding in face recognition. / Han, Pang Ying; Teoh, Beng Jin; Kiong, Wong Eng.

Proceedings - 5th International Conference on Computer Graphics, Imaging and Visualisation, Modern Techniques and Applications, CGIV. 2008. p. 223-228 4627011.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Han PY, Teoh BJ, Kiong WE. Neighbourhood discriminant locally linear embedding in face recognition. In Proceedings - 5th International Conference on Computer Graphics, Imaging and Visualisation, Modern Techniques and Applications, CGIV. 2008. p. 223-228. 4627011 https://doi.org/10.1109/CGIV.2008.63