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AMDO
2006
Springer
13 years 11 months ago
Predicting 3D People from 2D Pictures
Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
Leonid Sigal, Michael J. Black
CVPR
2010
IEEE
14 years 4 months ago
Tracking People Interacting with Objects
While the problem of tracking 3D human motion has been widely studied, most approaches have assumed that the person is isolated and not interacting with the environment. Environme...
Hedvig Kjellstrom, Michael Black, Danica Kragic
CVPR
2006
IEEE
14 years 2 months ago
Recognition of Composite Human Activities through Context-Free Grammar Based Representation
This paper describes a general methodology for automated recognition of complex human activities. The methodology uses a context-free grammar (CFG) based representation scheme to ...
Michael S. Ryoo, J. K. Aggarwal
CHI
2003
ACM
14 years 8 months ago
Efficient user interest estimation in fisheye views
We present a new technique for efficiently computing Degree-of-Interest distributions to inform the visualization of graph-structured data. The technique is independent of the int...
Jeffrey Heer, Stuart K. Card
ICPR
2000
IEEE
14 years 9 months ago
Growing Gaussian Mixture Models for Pose Invariant Face Recognition
A major challenge for face recognition algorithms lies in the variance faces undergo while changing pose. This problem is typically addressed by building view dependent models bas...
Ralph Gross, Jie Yang, Alex Waibel