Information Sciences: an International Journal: Volume 346 Issue C, June 2016
Publisher: Elsevier Science Inc.
Many real-world face recognition applications can only provide single sample for each person, while most face recognition approaches require a large set of training samples, which leads to single sample per person (SSPP) problem. In this paper, we propose local structure based multi-phase collaborative representation classification (LS_MPCRC) to solve SSPP ...
Class selection, Collaborative representation, Entropy minimization, Single sample per person problem, Subspace, Face recognition, Local structure
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Visual Understanding with RGB-D Sensors: Volume 6 Issue 2, May 2015
Citation Count: 1
Downloads (6 Weeks): 18, Downloads (12 Months): 89, Downloads (Overall): 381
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Drowsy driving is one of the major causes of fatal traffic accidents. In this article, we propose a real-time system that utilizes RGB-D cameras to automatically detect driver fatigue and generate alerts to drivers. By introducing RGB-D cameras, the depth data can be obtained, which provides extra evidence to benefit ...
RGB-D cameras, head pose, driver fatigue detection system, eye state
ICIMCS '14: Proceedings of International Conference on Internet Multimedia Computing and Service
Citation Count: 0
Downloads (6 Weeks): 0, Downloads (12 Months): 10, Downloads (Overall): 67
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In this paper, we present a new feature extraction approach for face sketch recognition. Based on the assumption that small image patches in the photo and sketch images form manifold with similar local geometry in two different image spaces, we propose local geometry feature extraction approach to reduce the modality ...
Face sketch recognition, LLE, SIFT, local geometry, multi-scale ensemble
Proceedings of the 14th Pacific-Rim Conference on Advances in Multimedia Information Processing PCM 2013 - Volume 8294
Publisher: Springer-Verlag New York, Inc.
Conventional RGB image-based head pose estimation methods encounter many difficulties due to pose variation and illumination. In this paper, we present a real-time 3D head motion estimation method using both RGB image data and depth data. Head is detected from depth data in a simple way. Based on a rigid-body ...
depth rate constraint, head pose estimation, least-squares, optical flow constraint, rigid head motion, head detection