Multiview 3D Markerless Human Pose Estimation from OpenPose Skeletons-Reference-Cited by-同舟云学术

Multiview 3D Markerless Human Pose Estimation from OpenPose Skeletons

Published:2020 Issue: Volume: Page:166-178
ISSN:0302-9743
Container-title:Advanced Concepts for Intelligent Vision Systems
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Author:

Slembrouck Maarten^ORCID,Luong Hiep,Gerlo Joeri,Schütte Kurt,Van Cauwelaert Dimitri,De Clercq Dirk,Vanwanseele Benedicte,Veelaert Peter,Philips Wilfried

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-40605-9_15

Reference17 articles.

1. Alp Güler, R., Neverova, N., Kokkinos, I.: DensePose: dense human pose estimation in the wild. In: CVPR, pp. 7297–7306 (2018)

2. Lecture Notes in Computer Science;F Bogo,2016

3. Cao, Z., Hidalgo, G., Simon, T., Wei, S.E., Sheikh, Y.: OpenPose: realtime multi-person 2D pose estimation using Part Affinity Fields. arXiv (2018)

4. Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: Realtime multi-person 2D pose estimation using part affinity fields. In: CVPR, pp. 7291–7299 (2017)

5. Chen, Y., Wang, Z., Peng, Y., Zhang, Z., Yu, G., Sun, J.: Cascaded pyramid network for multi-person pose estimation. In: CVPR, June 2018

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