Highly Accurate and Fully Automatic Head Pose Estimation from a Low Quality Consumer-Level RGB-D Sensor
Author:
Affiliation:
1. Laval University, Quebec City, Canada
2. University of St Andrews, St Andrews, United Kingdom
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2810397.2810401
Reference52 articles.
1. B. Ahn , J. Park , and I. S. Kweon . Real-time head orientation from a monocular camera using deep neural network . In Proc. Asian Conference on Computer Vision , pages 82 -- 96 , 2014 . B. Ahn, J. Park, and I. S. Kweon. Real-time head orientation from a monocular camera using deep neural network. In Proc. Asian Conference on Computer Vision, pages 82--96, 2014.
2. Colour invariants under a non-linear photometric camera model and their application to face recognition from video
3. Computationally efficient application of the generic shape-illumination invariant to face recognition from video
4. A pose-wise linear illumination manifold model for face recognition using video
5. Achieving robust face recognition from video by combining a weak photometric model and a learnt generic face invariant
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