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Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture

Tome, D; Toso, M; Agapito, L; Russell, C; (2018) Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture. In: (Proceedings) 6th International Conference on 3D Vision (3DV). (pp. pp. 474-483). IEEE Green open access

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Abstract

We propose a CNN-based approach for multi-camera markerless motion capture of the human body. Unlike existing methods that first perform pose estimation on individual cameras and generate 3D models as post-processing, our approach makes use of 3D reasoning throughout a multi-stage approach. This novelty allows us to use provisional 3D models of human pose to rethink where the joints should be located in the image and to recover from past mistakes. Our principled refinement of 3D human poses lets us make use of image cues, even from images where we previously misdetected joints, to refine our estimates as part of an end-to-end approach. Finally, we demonstrate how the high-quality output of our multi-camera setup can be used as an additional training source to improve the accuracy of existing single camera models.

Type: Proceedings paper
Title: Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture
Event: 6th International Conference on 3D Vision (3DV)
Location: Verona, ITALY
Dates: 05 September 2018 - 08 September 2018
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/3DV.2018.00061
Publisher version: https://doi.org/10.1109/3DV.2018.00061
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Technology, Computer Science, Artificial Intelligence, Engineering, Electrical & Electronic, Computer Science, Engineering, SHAPE
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10074872
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