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» Normalized Cuts and Image Segmentation
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ICIP
2009
IEEE
15 years 10 months ago
Modified Grabcut For Unsupervised Object Segmentation
We propose a fully automated variation of the GrabCut technique for segmenting comparatively simple images with little variation in background colour and relatively high contrast ...
PAMI
2007
202views more  PAMI 2007»
14 years 9 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ICCV
2009
IEEE
1035views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Efficient High-Quality Image Contour Detection
Image contour detection is fundamental to many image analysis applications, including image segmentation, object recognition and classification. However, highly accurate image c...
Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram,...
ECCV
2008
Springer
15 years 11 months ago
Image Segmentation by Branch-and-Mincut
Efficient global optimization techniques such as graph cut exist for energies corresponding to binary image segmentation from lowlevel cues. However, introducing a high-level prior...
Victor S. Lempitsky, Andrew Blake, Carsten Rother
MVA
2007
127views Computer Vision» more  MVA 2007»
14 years 11 months ago
Vehicle Orientation Detection Using Vehicle Color and Normalized Cut Clustering
This paper proposes a novel approach for vehicle orientation detection using “vehicle color” and edge information based on clustering framework. To extract the “vehicle colo...
Jui-Chen Wu, Jun-Wei Hsieh, Yung-Sheng Chen, Cheng...