We present an algorithm designed for navigating around a performance that was filmed as a “casual” multi-view video collection: real-world footage captured on hand held camer...
Luca Ballan, Gabriel J. Brostow, Jens Puwein, Marc...
In this paper, we present a system that enhances the visualization of customized sports shoes using augmented reality techniques. Instead of viewing yourself in a real mirror, sop...
This paper describes a new passive approach to capture time-varying scene geometry in large acquisition volumes from multi-view video. It can be applied to reconstruct complete mo...
Naveed Ahmed, Christian Theobalt, Petar Dobrev, Ha...
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Nowadays, video games propose rich scenarios with movementsbased game play, through the manipulation of dedicated devices. The motivation of this study is the elaboration of a com...