Motion Capture
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-41610-1_128-1
Reference45 articles.
1. Andrews S, Huerta I, Komura T, Sigal L, Mitchell K (2016) Real-time physics-based motion capture with sparse sensors. In: Proceedings of the 113th European conference on visual media production (CVMP 2016) – CVMP 2016, 5. https://doi.org/10.1145/2998559.2998564
2. Andriluka M, Pishchulin L, Gehler P, Schiele B (2014) 2D human pose estimation: new benchmark and state of the art analysis. 2014 IEEE conference on computer vision and pattern recognition, pp 3686–3693. https://doi.org/10.1109/cvpr.2014.471
3. Azad P, Asfour T, Dillmann R (2007) Toward an unified representation for imitation of human motion on humanoids. IEEE international conference on robotics and automation, pp 2558–2563. https://doi.org/10.1109/robot.2007.363850
4. Baak A, Müller M, Bharaj G, Seidel H-P, Theobalt C (2013) A data-driven approach for real-time full body pose reconstruction from a depth camera. Consum Depth Cameras Comput Vision, 71–98. https://doi.org/10.1007/978-1-4471-4640-7_5
5. Ballan L, Taneja A, Gall J, Gool LV, Pollefeys M (2012) Motion capture of hands in action using discriminative salient points. Computer vision – ECCV 2012 lecture notes in computer science, 640–653. https://doi.org/10.1007/978-3-642-33783-3_46
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