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CVPR
2004
IEEE
16 years 2 months ago
Recovering Human Body Configurations: Combining Segmentation and Recognition
The goal of this work is to take an image such as the one in Figure 1(a), detect a human figure, and localize his joints and limbs (b) along with their associated pixel masks (c)....
Greg Mori, Xiaofeng Ren, Alexei A. Efros, Jitendra...
93
Voted
ICMCS
2005
IEEE
178views Multimedia» more  ICMCS 2005»
15 years 6 months ago
On the Earth Mover's Distance as a histogram similarity metric for image retrieval
In this paper, the performance of the Earth Mover’s Distance (EMD) vs χ2 distance as histogram similarity metrics for image retrieval is evaluated experimentally. Ground truth ...
Zhenghua Yu, Gunawan Herman
111
Voted
BMCBI
2007
157views more  BMCBI 2007»
15 years 16 days ago
Impact of image segmentation on high-content screening data quality for SK-BR-3 cells
Background: High content screening (HCS) is a powerful method for the exploration of cellular signalling and morphology that is rapidly being adopted in cancer research. HCS uses ...
Andrew A. Hill, Peter LaPan, Yizheng Li, Steve Han...
87
Voted
ICPR
2008
IEEE
15 years 6 months ago
Top down image segmentation using congealing and graph-cut
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
Douglas Moore, John Stevens, Scott Lundberg, Bruce...
ASIAMS
2007
IEEE
15 years 6 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal