Tensor kernel supervised dictionary learning for face recognition

Yeong Khang Lee, Cheng Yaw Low, Andrew Beng Jin Teoh

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

2 Citations (Scopus)

Abstract

Sparse-representation is well-known for its promising performance in face recognition task. Recently, researchers have focused on optimizing the dictionary by learning the discriminative sparse model. On the other hand, symmetric positive definite (SPD) matrix descriptor has spurred great interest among computer vision community due to its inherent merits that enables features fusion. However SPD descriptors form a curved-geometry known as Tensor Manifold, which is incompatible to traditional vector-based dictionary learning methods. In order to close the gap between dictionary learning and SPD matrices, this paper proposes Tensor kernel supervised dictionary learning (TKSDL) for face recognition. TKSDL works in such a way by embedding the Tensor manifold into reproducing kernel Hilbert spaces by means of Tensor kernel functions. The discriminative dictionary is then learned by maximizing the Hilbert Schmidt independence criterion (HSIC) that leverages the class labels from the training data. Sparse coefficients are solved independently from the dictionary learning via a soft thresholding mechanism. Extensive experiments on the ORL, AR and FERET datasets are conducted to verify the efficiency of the proposed methods.

Original languageEnglish
Title of host publication2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages623-629
Number of pages7
ISBN (Electronic)9789881476807
DOIs
Publication statusPublished - 2016 Feb 19
Event2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 - Hong Kong, Hong Kong
Duration: 2015 Dec 162015 Dec 19

Other

Other2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
CountryHong Kong
CityHong Kong
Period15/12/1615/12/19

Fingerprint

Glossaries
Face recognition
Face Recognition
Tensors
Tensor
kernel
Symmetric Positive Definite Matrix
Descriptors
Reproducing Kernel Hilbert Space
Sparse Representation
Hilbert spaces
Thresholding
Kernel Function
Learning
Dictionary
Leverage
Positive definite
Computer Vision
Computer vision
Hilbert

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Modelling and Simulation
  • Signal Processing

Cite this

Lee, Y. K., Low, C. Y., & Beng Jin Teoh, A. (2016). Tensor kernel supervised dictionary learning for face recognition. In 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 (pp. 623-629). [7415344] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2015.7415344
Lee, Yeong Khang ; Low, Cheng Yaw ; Beng Jin Teoh, Andrew. / Tensor kernel supervised dictionary learning for face recognition. 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 623-629
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Lee, YK, Low, CY & Beng Jin Teoh, A 2016, Tensor kernel supervised dictionary learning for face recognition. in 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015., 7415344, Institute of Electrical and Electronics Engineers Inc., pp. 623-629, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015, Hong Kong, Hong Kong, 15/12/16. https://doi.org/10.1109/APSIPA.2015.7415344

Tensor kernel supervised dictionary learning for face recognition. / Lee, Yeong Khang; Low, Cheng Yaw; Beng Jin Teoh, Andrew.

2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 623-629 7415344.

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

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Lee YK, Low CY, Beng Jin Teoh A. Tensor kernel supervised dictionary learning for face recognition. In 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 623-629. 7415344 https://doi.org/10.1109/APSIPA.2015.7415344