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» Computing Pose Sequences Directly from Videos
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FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
14 years 3 months ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian
ICCV
2011
IEEE
12 years 8 months ago
3D Reconstruction of a Smooth Articulated Trajectory from a Monocular Image Sequence
An articulated trajectory is defined as a trajectory that remains at a fixed distance with respect to a parent trajectory. In this paper, we present a method to reconstruct an a...
Hyun Soo Park, Yaser Sheikh
CGF
2008
340views more  CGF 2008»
13 years 9 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
ICPR
2010
IEEE
13 years 10 months ago
Recognizing Human Actions Using Key Poses
In this paper, we explore the idea of using only pose, without utilizing any temporal information, for human action recognition. In contrast to the other studies using complex acti...
Sermetcan Baysal, Mehmet Can Kurt, Pinar Duygulu
ICPR
2008
IEEE
14 years 3 months ago
Video attention: Learning to detect a salient object sequence
We study video attention by detecting a salient object sequence from video segment. We formulate salient object sequence detection as energy minimization problem in a conditional ...
Tie Liu, Nanning Zheng, Wei Ding, Zejian Yuan