3D Human Motion Analysis in Monocular Video: Techniques and Challenges-Reference-Cited by-同舟云学术

3D Human Motion Analysis in Monocular Video: Techniques and Challenges

Published:2008 Issue: Volume: Page:185-211
ISSN:1381-6446
Container-title:Human Motion
language:
Short-container-title:

Author:

Sminchisescu Cristian

Publisher

Springer Netherlands

Link

http://link.springer.com/content/pdf/10.1007/978-1-4020-6693-1_8.pdf

Reference68 articles.

1. CMU Human Motion Capture DataBase. Available online at http://mocap.cs. cmu.edu/search.html , 2003.

2. Agarwal A. and Triggs B. Monocular human motion capture with a mixture of regressors. In Workshop on Vision for Human Computer Interaction, 2005.

3. Allen B., Curless B., and Popovic Z. The space of human body shapes: recon-struction and parameterization from range scans. In SIGGRAPH, 2003.

4. Belkin M. and Niyogi P. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering. In Advances in Neural Information Processing Sys-tems, 2002.

5. Bertero M., Poggio T., and Torre V. Ill-posed Problems in Early Vision. Proc. of IEEE, 1988.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HopFIR: Hop-wise GraphFormer with Intragroup Joint Refinement for 3D Human Pose Estimation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

2. Evaluating the Pertinence of Pose Estimation model for Sign Language Translation;International Journal of Computational Intelligence and Applications;2023-03

3. Recent Advances in 3D Human Pose Estimation: From Optimization to Implementation and Beyond;International Journal of Pattern Recognition and Artificial Intelligence;2022-01-12

4. 3D Human Pose Estimation Using Möbius Graph Convolutional Networks;Lecture Notes in Computer Science;2022

5. Human Body Pose Estimation and Applications;2021 Innovations in Power and Advanced Computing Technologies (i-PACT);2021-11-27