AMASS: Archive of Motion Capture As Surface Shapes

• Published in: Proceedings / IEEE International Conference on Computer Vision pp. 5441 - 5450
• Main Authors: Mahmood, Naureen, Ghorbani, Nima, Troje, Nikolaus F., Pons-Moll, Gerard, Black, Michael
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2019
• Subjects: Computational modeling; Computer vision; Joints; Machine learning; Shape; Three-dimensional displays
• ISSN: 2380-7504
• DOI: 10.1109/ICCV.2019.00554

Large datasets are the cornerstone of recent advances in computer vision using deep learning. In contrast, existing human motion capture (mocap) datasets are small and the motions limited, hampering progress on learning models of human motion. While there are many different datasets available, they...