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This paper presents a novel approach that achieves 3D video understanding. 3D video consists of a stream of 3D models of subjects in motion. The acquisition of long sequences requires large storage space (2 GB for 1 min). Moreover, it is tedious to browse data sets and extract meaningful information. We propose the topology dictionary to encode and describe 3D video content. The model consists of...
3D shape of objects can provide richer information for detecting, tracking or identifying the objects than a single 2D image of them. We tackle the 3D shape and texture reconstruction of an object moving in a widespread space using multi-viewpoint active cameras. Considering 3D shape and texture reconstruction, the problem in existing tracking methods using active cameras is that they cannot calibrate...
This paper presents a novel approach to achieve accurate and complete multi-view reconstruction of dynamic scenes (or 3D videos). 3D videos consist in sequences of 3D models in motion captured by a surrounding set of video cameras. To date 3D videos are reconstructed using multiview wide baseline stereo (MVS) reconstruction techniques. However it is still tedious to solve stereo correspondence problems:...
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