Robust solving of optical motion capture data by denoising-Reference-Cited by-同舟云学术

Robust solving of optical motion capture data by denoising

Published:2018-08-31 Issue:4 Volume:37 Page:1-12
ISSN:0730-0301
Container-title:ACM Transactions on Graphics
language:en
Short-container-title:ACM Trans. Graph.

Author:

Holden Daniel¹

Affiliation:

1. Ubisoft La Forge, Ubisoft, Canada

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Link

https://dl.acm.org/doi/pdf/10.1145/3197517.3201302

Reference51 articles.

1. Bilinear spatiotemporal basis models

2. Autodesk. 2016. MotionBuilder HumanIK. https://knowledge.autodesk.com/support/motionbuilder/learn-explore/caas/CloudHelp/cloudhelp/2017/ENU/MotionBuilder/files/GUID-44608A05-8D2F-4C2F-BDA6-E3945F36C872-htm.html. (2016). Autodesk. 2016. MotionBuilder HumanIK. https://knowledge.autodesk.com/support/motionbuilder/learn-explore/caas/CloudHelp/cloudhelp/2017/ENU/MotionBuilder/files/GUID-44608A05-8D2F-4C2F-BDA6-E3945F36C872-htm.html. (2016).

3. Kernel-predicting convolutional networks for denoising Monte Carlo renderings

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