8 December 2015 Robust head pose estimation using locality-constrained sparse coding
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Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 98750G (2015) https://doi.org/10.1117/12.2228507
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain
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.
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Hyunduk Kim, Hyunduk Kim, Sang-Heon Lee, Sang-Heon Lee, Myoung-Kyu Sohn, Myoung-Kyu Sohn, } "Robust head pose estimation using locality-constrained sparse coding", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98750G (8 December 2015); doi: 10.1117/12.2228507; https://doi.org/10.1117/12.2228507
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