Unsupervised Facial Pose Grouping via Garbor Subspace Affinity and Self-Tuning Spectral Clustering

Xin Liu, Yiu Ming CHEUNG*

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

Facial pose grouping plays an important role in the video face recognition. In this paper, we present an unsupervised facial pose grouping approach via Garbor subspace affinity and self-Tuning spectral clustering. First, we utilize the local normalization method to reduce the impact of uneven illuminations, and then extract the discriminative appearance features via Gabor wavelet representation. Next, the Garbor subspace affinity method is presented to compute an affinity matrix in terms of the pair wise similarity, in which the facial frames of the same pose always share the smaller pair wise similarities. Finally, we employ the self-Tuning spectral clustering algorithm to label the affinity matrix, through which the number of pose groups and the corresponding grouping results can be obtained automatically. Without any label priors, the proposed approach is able to well differentiate the distinct facial poses under uneven illuminations, and the experimental results have shown the satisfactory performances.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2720-2724
Number of pages5
ISBN (Electronic)9781479986965
DOIs
Publication statusPublished - 12 Jan 2016
EventIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 - Kowloon Tong, Hong Kong
Duration: 9 Oct 201512 Oct 2015

Publication series

NameProceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015

Conference

ConferenceIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
Country/TerritoryHong Kong
CityKowloon Tong
Period9/10/1512/10/15

Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Information Systems and Management
  • Control and Systems Engineering

User-Defined Keywords

  • Facial pose grouping
  • Garbor subspace affinity
  • self-Tuning spectral clustering

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