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Robust head pose estimation using locality-constrained sparse coding

Title
Robust head pose estimation using locality-constrained sparse coding
Authors
Kim, HyundukLee, Sang-HeonSohn, Myoung-Kyu
DGIST Authors
Lee, Sang-HeonSohn, Myoung-Kyu
Issue Date
2015-11-20
Citation
8th International Conference on Machine Vision, ICMV 2015
Type
Conference
ISSN
0277-786X
Abstract
Sparse coding (SC) method has been shown to deliver successful result in a variety of computer vision applications. However, it does not consider the underlying structure of the data in the feature space. On the other hand, locality constrained linear coding (LLC) utilizes locality constraint to project each input data into its local-coordinate system. Based on the recent success of LLC, we propose a novel locality-constrained sparse coding (LSC) method to overcome the limitation of the SC. In experiments, the proposed algorithms were applied to head pose estimation applications. Experimental results demonstrated that the LSC method is better than state-of-the-art methods. © 2015 SPIE.
URI
http://hdl.handle.net/20.500.11750/5473
DOI
10.1117/12.2228507
Publisher
SPIE
Related Researcher
Files:
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Collection:
Convergence Research Center for Future Automotive Technology2. Conference Papers


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