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» Human Pose Estimation using Motion Exemplars
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CVPR
2012
IEEE
11 years 11 months ago
Scale resilient, rotation invariant articulated object matching
A novel method is proposed for matching articulated objects in cluttered videos. The method needs only a single exemplar image of the target object. Instead of using a small set o...
Hao Jiang, Tai-Peng Tian, Kun He, Stan Sclaroff
ECCV
2010
Springer
14 years 2 months ago
Single Image Deblurring Using Motion Density Functions
Abstract. We present a novel single image deblurring method to estimate spatially non-uniform blur that results from camera shake. We use existing spatially invariant deconvolution...
CVPR
1997
IEEE
14 years 10 months ago
Learning Parameterized Models of Image Motion
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...
MICCAI
2010
Springer
13 years 7 months ago
3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
Chaohui Wang, Olivier Teboul, Fabrice Michel, Salm...
NIPS
2008
13 years 10 months ago
Model selection and velocity estimation using novel priors for motion patterns
Psychophysical experiments show that humans are better at perceiving rotation and expansion than translation. These findings are inconsistent with standard models of motion integr...
Shuang Wu, Hongjing Lu, Alan L. Yuille