Face pose estimation with ensemble multi-scale representations

Author:

Han Zhaocui1,Song Weiwei1,Yang Xue1,Ou Zongying2

Affiliation:

1. University of Jinan, Jinan City, Shandong Province

2. Dalian University of Technology, Dalian City, Liaoning Province

Publisher

ACM Press

Reference29 articles.

1. Ng, J., Gong, S. G. 2002, Composite support vector machines for detection of faces across views and pose estimation. Image and Vision Computing, 20(5--6):359--368

2. Ng, J., Gong, S. G. 1999, Multi-view face detection and pose estimation using a composite support vector machine across the view sphere. In Proceedings of International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, pp 14--21

3. Chen, L., Zhang, L., Hu, Y. X., Li, M. J., Zhang, H. J. 2003, Head pose estimation using fisher manifold learning. Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures, pp 203--207

4. Li, S. Z., Fu, Q., Gu, L., Scholkopf, B., Cheng, Y., Zhang, H. 2001, Kernel machine based learning for multi-view face detection and pose estimation. Proceedings of 8th IEEE International Conference on Computer Vision, 2: 674--679

5. McKenna, S. J., Gong, S. 1998, Real-time face pose estimation. Real-Time Imaging, 4(5): 333--347

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1. A Novel Deep Transfer Learning-Based Approach for Face Pose Estimation;Cybernetics and Information Technologies;2024-06-01

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