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» Graph-Theoretical Methods in Computer Vision
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128
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CVPR
2012
IEEE
13 years 3 months ago
Multi-class cosegmentation
Bottom-up, fully unsupervised segmentation remains a daunting challenge for computer vision. In the cosegmentation context, on the other hand, the availability of multiple images ...
Armand Joulin, Francis Bach, Jean Ponce
CVPR
2012
IEEE
13 years 3 months ago
Exemplar-based human action pose correction and tagging
The launch of Xbox Kinect has built a very successful computer vision product and made a big impact to the gaming industry; this sheds lights onto a wide variety of potential appl...
Wei Shen, Ke Deng, Xiang Bai, Tommer Leyvand, Bain...
CVPR
2012
IEEE
13 years 3 months ago
From pixels to physics: Probabilistic color de-rendering
Consumer digital cameras use tone-mapping to produce compact, narrow-gamut images that are nonetheless visually pleasing. In doing so, they discard or distort substantial radiomet...
Ying Xiong, Kate Saenko, Trevor Darrell, Todd Zick...
93
Voted
CVPR
2005
IEEE
16 years 2 months ago
Multiscale Segmentation by Combining Motion and Intensity Cues
We present a multiscale method for motion segmentation. Our method begins with local, ambiguous optical flow measurements. It uses a process of aggregation to resolve the ambiguit...
Meirav Galun, Alexander Apartsin, Ronen Basri
130
Voted
ECCV
2008
Springer
16 years 2 months ago
Image Feature Extraction Using Gradient Local Auto-Correlations
In this paper, we propose a method for extracting image features which utilizes 2 nd order statistics, i.e., spatial and orientational auto-correlations of local gradients. It enab...
Takumi Kobayashi, Nobuyuki Otsu