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CGF
2008
340views more  CGF 2008»
13 years 10 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
MVA
1996
13 years 11 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...
CVPR
2005
IEEE
15 years 2 days 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»
14 years 4 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
CVPR
2005
IEEE
15 years 2 days ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002