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» Probabilistic human pose recovery from 2D images
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ICDAR
2007
IEEE
14 years 1 months ago
Automatic Extraction of Data from 2-D Plots in Documents
Two-dimensional (2-D) plots in digital documents contain important information. Often, the results of scientific experiments and performance of businesses are summarized using pl...
Xiaonan Lu, James Ze Wang, Prasenjit Mitra, C. Lee...
VMV
2008
130views Visualization» more  VMV 2008»
13 years 9 months ago
Strike a Pose: Image-Based Pose Synthesis
In this paper, our objective is to facilitate the creation of novel human poses by synthesizing images. Existing approaches commonly deform one single image, which often results i...
Cedric Vanaken, Chris Hermans, Tom Mertens, Fabian...
CVPR
2012
IEEE
11 years 10 months ago
From Pictorial Structures to deformable structures
Pictorial Structures (PS) define a probabilistic model of 2D articulated objects in images. Typical PS models assume an object can be represented by a set of rigid parts connecte...
Silvia Zuffi, Oren Freifeld, Michael J. Black
PAMI
2012
11 years 10 months ago
Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses
—Detecting objects in cluttered scenes and estimating articulated human body parts from 2D images are two challenging problems in computer vision. The difficulty is particularly...
Bangpeng Yao, Fei-Fei Li
CVPR
2007
IEEE
14 years 1 months ago
Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching
3D human pose recovery is considered as a fundamental step in view-invariant human action recognition. However, inferring 3D poses from a single view usually is slow due to the la...
Fengjun Lv, Ramakant Nevatia