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» Representation and Detection of Deformable Shapes
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ICCV
2009
IEEE
15 years 18 days ago
Learning Deformable Action Templates from Crowded Videos
In this paper, we present a Deformable Action Template (DAT) model that is learnable from cluttered real-world videos with weak supervisions. In our generative model, an action ...
Benjamin Yao, Song-Chun Zhu
ICCV
2005
IEEE
14 years 9 months ago
Actions as Space-Time Shapes
Human action in video sequences can be seen as silhouettes of a moving torso and protruding limbs undergoing articulated motion. We regard human actions as three-dimensional shapes...
Moshe Blank, Lena Gorelick, Eli Shechtman, Michal ...
ICCV
2003
IEEE
14 years 9 months ago
Towards Direct Recovery of Shape and Motion Parameters from Image Sequences
A novel procedure is presented to construct image-domain filters (receptive fields) that directly recover local motion and shape parameters. These receptive fields are derived fro...
Stephen Benoit, Frank P. Ferrie
ICAT
2006
IEEE
14 years 1 months ago
Real-Time Virtual Surgery Simulation Employing MM-Model and Adaptive Spatial Hash
Abstract. In this paper, MM-Model is presented for real-time simulation of 3D deformable objects on both global level and local region. This model consists of a deformable centerli...
Shaoting Zhang, Lixu Gu, Weiming Liang, Jingsi Zha...
BMVC
2001
13 years 10 months ago
An Adaptive Potential for Robust Shape Estimation
This paper describes an algorithm for shape estimation in cluttered scenes. A new image potential is defined based on strokes detected in the image. The motivation is simple. Fea...
Jacinto C. Nascimento, Jorge S. Marques