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» Contour Detection and Hierarchical Image Segmentation
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ICCV
2001
IEEE
16 years 9 months ago
Shape Deformation: SVM Regression and Application to Medical Image Segmentation
This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
Song Wang, Weiyu Zhu, Zhi-Pei Liang
CVPR
2012
IEEE
13 years 10 months ago
Hierarchical face parsing via deep learning
This paper investigates how to parse (segment) facial components from face images which may be partially occluded. We propose a novel face parser, which recasts segmentation of fa...
Ping Luo, Xiaogang Wang, Xiaoou Tang
ISVC
2010
Springer
15 years 5 months ago
Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation
Abstract. In this paper, we incorporated the global convex segmentation method and the split Bregman technique into the region-scalable fitting energy model. The new proposed metho...
Yunyun Yang, Chunming Li, Chiu-Yen Kao, Stanley Os...
ICDAR
2009
IEEE
15 years 5 months ago
Coupled Snakelet Model for Curled Textline Segmentation of Camera-Captured Document Images
Detection of curled textline is important for dewarping of hand-held camera-captured document images. Then baselines and the lines following the top of x-height of characters (x-l...
Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breu...
CVPR
2011
IEEE
15 years 2 months ago
Novel 4-D Open-Curve Active Contour and Curve Completion Approach for Automated Tree Structure Extraction
We present novel approaches for fully automated extraction of tree-like tubular structures from 3-D image stacks. A 4-D Open-Curve Active Contour (Snake) model is proposed for sim...
Yu Wang, Arunachalam Narayanaswamy, Badri Roysam