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CGF
2008
340views more  CGF 2008»
15 years 1 months ago
Articulated Object Reconstruction and Markerless Motion Capture from Depth Video
We present an algorithm for acquiring the 3D surface geometry and motion of a dynamic piecewise-rigid object using a single depth video camera. The algorithm identifies and tracks...
Yuri Pekelny, Craig Gotsman
ICIP
2009
IEEE
14 years 11 months ago
Automatic scene relighting for video conferencing
This paper describes a new method to automatically improve scene lighting for video conferencing by learning the photometric mapping between a lower exposure and desired exposure ...
Stephen Mangiat, Jerry Gibson
MVA
1996
15 years 3 months ago
Video Enhancement Sensor Using Motion Adaptive Storage Time
We propose a video enhancement sensor for smoothing random noise and getting wide dynamic range. The sensor has computational elements based on a column-parallel architecture. It ...
Takayuki Hamamoto, Kiyoharu Aizawa, Mitsutoshi Hat...
104
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CVPR
2005
IEEE
16 years 3 months ago
Modelling Dynamic Scenes by Registering Multi-View Image Sequences
In this paper, we present a new variational method for multi-view stereovision and non-rigid three-dimensional motion estimation from multiple video sequences. Our method minimize...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...
3DPVT
2006
IEEE
276views Visualization» more  3DPVT 2006»
15 years 7 months ago
Dynamic 3D Urban Scene Modeling Using Multiple Pushbroom Mosaics
In this paper, a unified, segmentation-based approach is proposed to deal with both stereo reconstruction and moving objects detection problems using multiple stereo mosaics. Each...
Hao Tang, Zhigang Zhu, George Wolberg