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This paper proposes a new marker-less approach to capturing human performances from multi-view video. Our algorithm can jointly reconstruct spatio-temporally ...
This paper proposes a new marker-less approach to capturing human performances from multi-view video. Our algorithm can jointly reconstruct ...
This framework extracts motion constraints from video and makes the laser-scan of the tracked subject mimic the recorded performance. Also small-scale time- ...
Researchers from Stanford University and the Max Planck Institute have patented a new marker-less approach to capturing human performances from multi-view.
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One of the first full performance capture approaches in the literature, by this we mean a method to capture entire humans, is the work by Starck and Hilton [48] ...
We propose DeepMultiCap, a novel method for multi- person performance capture using sparse multi-view cam- eras. Our method can capture time varying surface ...
May 1, 2021 · We propose DeepMultiCap, a novel method for multi-person performance capture using sparse multi-view cameras.
We present a method for the full-body performance capture of mul- tiple people in a sports environment from multi-view video. This paper leverages previous work ...
Duration: 3:26
Posted: Aug 18, 2018
Posted: Aug 18, 2018
We present a deep learning based volumetric approach for performance capture using a passive and highly sparse multi-view capture system.