Multi-view subspace clustering for face images

Xin Zhang, Dinh Phung, Svetha Venkatesh, Duc-Son Pham, Wanquan Liu

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

6 Citations (Scopus)

Abstract

In many real-world computer vision applications, such as multi-camera surveillance, the objects of interest are captured by visual sensors concurrently, resulting in multi-view data. These views usually provide complementary information to each other. One recent and powerful computer vision method for clustering is sparse subspace clustering (SSC); however, it was not designed for multi-view data, which break down its linear separability assumption. To integrate complementary information between views, multi-view clustering algorithms are required to improve the clustering performance. In this paper, we propose a novel multi-view subspace clustering by searching for an unified latent structure as a global affinity matrix in subspace clustering. Due to the integration of affinity matrices for each view, this global affinity matrix can best represent the relationship between clusters. This could help us achieve better performance on face clustering. We derive a provably convergent algorithm based on the alternating direction method of multipliers (ADMM) framework, which is computationally efficient, to solve the formulation. We demonstrate that this formulation outperforms other alternatives based on state-of-The-Arts on challenging multi-view face datasets.

Original languageEnglish
Title of host publication2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
Subtitle of host publicationAdelaide, Australia 23 - 25 November 2015
EditorsDavid Suter
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages555-561
Number of pages7
ISBN (Electronic)9781467367950
ISBN (Print)9781467367943
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventDigital Image Computing Techniques and Applications 2015 - Adelaide, Australia
Duration: 23 Nov 201525 Nov 2015
Conference number: 17th
https://dictaconference.org/dicta2015/
https://ieeexplore.ieee.org/xpl/conhome/7371187/proceeding (Proceedings)

Conference

ConferenceDigital Image Computing Techniques and Applications 2015
Abbreviated titleDICTA 2015
Country/TerritoryAustralia
CityAdelaide
Period23/11/1525/11/15
Internet address

Cite this