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动作捕捉
Motion Capture
## Motion Capture ### Introduction Human motion capture has been a challenging research topic in computer vision and computer graphics for decades. The goal is to reconstruct a temporally coherent representation of the dynamically deforming surface of human characters from videos. A fast, low cost, easy to set up and promising for popularization systems is the long-term pursuit. ### Highlights  ####Free-viewpoint human performance capture with dynamic details - Multi-layer Avatar Digitization - Physics-Based Performance Capture > Yu, T., Zheng, Z., Zhong, Y., Zhao, J., Dai, Q., Pons-Moll, G., & Liu, Y. (2019). [SimulCap: Single-View Human Performance Capture with Cloth Simulation.](https://arxiv.org/abs/1903.06323). To appear in CVPR 2019  ####Real-time motion capture by double fusion - Double-layer Representation - Joint Motion Tracking - Volumetric Fusion and Optimization > Yu, T., Zheng, Z., Guo, K., Zhao, J., Dai, Q., Li, H., ... & Liu, Y. (2018). [Doublefusion: Real-time capture of human performances with inner body shapes from a single depth sensor.](http://openaccess.thecvf.com/content_cvpr_2018/html/Yu_DoubleFusion_Real-Time_Capture_CVPR_2018_paper.html). In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 7287-7296).  ####Handheld-device enabled motion capture - 3D Point Correspondences and Implicit RGBZ Point Cloud Segmentation - Feature-Based Background Correspondences - Optimization of Skeleton and Camera Poses - Non-rigid Mesh Deformation and Vertex Color Update > Ye, G., Liu, Y., Hasler, N., Ji, X., Dai, Q., & Theobalt, C. (2012, October). [Performance Capture of Interacting Characters with Handheld Kinects](https://ieeexplore.ieee.org/abstract/document/5995424). In European Conference on Computer Vision (pp. 828-841).  ####Markerless motion capture - Multi-view Image Segmentation - Pose Tracking and Surface Estimation > Liu, Y., Stoll, C., Gall, J., Seidel, H. P., & Theobalt, C. (2011, June). [Markerless Motion Capture of Interacting Characters Using Multi-view Image Segmentation](https://ieeexplore.ieee.org/abstract/document/5995424). In CVPR 2011 (pp. 1249-1256). ###Research Production Related studies were published on international conferences including CVPR(oral), ICCV, ECCV and SIGGRAPH, international journals including T-PAMI and T-VCG.
