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» Computing Pose Sequences Directly from Videos
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CVPR
2004
IEEE
14 years 9 months ago
Alignment of Continuous Video onto 3D Point Clouds
We propose a general framework for aligning continuous (oblique) video onto 3D sensor data. We align a point cloud computed from the video onto the point cloud directly obtained f...
Wen-Yi Zhao, David Nistér, Steven C. Hsu
ICPR
2008
IEEE
14 years 1 months ago
Direct 3-D shape recovery from image sequence based on multi-scale Bayesian network
We propose a new method for recovering a 3-D object shape from an image sequence. In order to recover high-resolution relative depth without using the complex Markov random field...
Norio Tagawa, Junya Kawaguchi, Shoichi Naganuma, K...
ACCV
2010
Springer
13 years 2 months ago
Finding Human Poses in Videos Using Concurrent Matching and Segmentation
Abstract. We propose a novel method to detect human poses in videos by concurrently optimizing body part matching and object segmentation. With a single exemplar image, the propose...
Hao Jiang
ICPR
2008
IEEE
14 years 8 months ago
3D ear modeling and recognition from video sequences using shape from shading
We describe a novel approach for 3D ear biometrics using video. A series of frames are extracted from a video clip and the region-of-interest (ROI) in each frame is independently ...
Mohamed Abdel-Mottaleb, Steven Cadavid
PAMI
2006
358views more  PAMI 2006»
13 years 7 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs