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» Computing Pose Sequences Directly from Videos
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CVPR
2004
IEEE
16 years 6 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
15 years 10 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
14 years 11 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
16 years 5 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»
15 years 4 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