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» Segmentation Under Occlusions Using Selective Shape Prior
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ICCV
2003
IEEE
14 years 9 months ago
Landmark-based Shape Deformation with Topology-Preserving Constraints
This paper presents a novel approach for landmarkbased shape deformation, in which fitting error and shape difference are formulated into a support vector machine (SVM) regression...
Song Wang, Jim Xiuquan Ji, Zhi-Pei Liang
TMI
1998
140views more  TMI 1998»
13 years 7 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger
CVPR
2006
IEEE
14 years 9 months ago
Local Features, All Grown Up
We present a technique to adapt the domain of local features through the matching process to augment their discriminative power. We start with local affine features selected and n...
Andrea Vedaldi, Stefano Soatto
ICASSP
2009
IEEE
14 years 2 months ago
Distance blurring for space-variant image coding
We present a novel selective blurring algorithm that mimics the optical distance blur effects that occur naturally in cameras and eyes. The proposed algorithm provides a realistic...
Tim Popkin, Andrea Cavallaro, David Hands
ICDAR
2009
IEEE
13 years 5 months ago
Prototype Selection for Handwritten Connected Digits Classification
After the handwritten segmentation process, it is common to have connected digits. This is due to the great size and shape digit variations. In addition, the acquisition and the b...
Cristiano de Santana Pereira, George D. C. Cavalca...