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PSIVT
2009
Springer
187views Multimedia» more  PSIVT 2009»
14 years 3 months ago
Video-Based Motion Capturing for Skeleton-Based 3D Models
In this paper, a semi-automatic method to capture motion data from a single-camera video is proposed. The input video is first segmented and analyzed, and a 3D character model wit...
Liang-Yu Shih, Bing-Yu Chen, Ja-Ling Wu
DAGM
2007
Springer
14 years 3 months ago
WarpCut - Fast Obstacle Segmentation in Monocular Video
Abstract. Autonomous collision avoidance in vehicles requires an accurate seperation of obstacles from the background, particularly near the focus of expansion. In this paper, we p...
Andreas Wedel, Thomas Schoenemann, Thomas Brox, Da...
ISMAR
2006
IEEE
14 years 3 months ago
Augmented reality based on estimation of defocusing and motion blurring from captured images
Photometric registration is as important as geometric registration to generate a seamless augmented reality scene. Especially the difference in image quality between a real image ...
Bunyo Okumura, Masayuki Kanbara, Naokazu Yokoya
ECCV
2004
Springer
14 years 11 months ago
Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models
Abstract. The exploitation of video data requires to extract information at a rather semantic level, and then, methods able to infer "concepts" from low-level video featu...
Gwenaëlle Piriou, Jian-Feng Yao, Patrick Bout...
ICCV
2007
IEEE
14 years 11 months ago
Real-Time Marker-free Motion Capture from multiple cameras
We present a fully-automated method for real-time and marker-free 3D human motion capture. The system computes the 3D shape of the person filmed from a synchronized camera set. We...
Brice Michoud, Erwan Guillou, Héctor M. Bri...