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SCIA
2009
Springer
261views Image Analysis» more  SCIA 2009»
14 years 6 days ago
Dense and Deformable Motion Segmentation for Wide Baseline Images
In this paper we describe a dense motion segmentation method for wide baseline image pairs. Unlike many previous methods our approach is able to deal with deforming motions and lar...
Juho Kannala, Esa Rahtu, Sami S. Brandt, Janne Hei...
ECCV
2008
Springer
14 years 9 months ago
Multi-stage Contour Based Detection of Deformable Objects
We present an efficient multi stage approach to detection of deformable objects in real, cluttered images given a single or few hand drawn examples as models. The method handles de...
Saiprasad Ravishankar, Arpit Jain, Anurag Mittal
VC
2011
161views more  VC 2011»
13 years 2 months ago
A GPU framework for parallel segmentation of volumetric images using discrete deformable models
Despite the ability of current GPU processors to treat heavy parallel computation tasks, its use for solving medical image segmentation problems is still not fully exploited and re...
Jérôme Schmid, José Antonio Ig...
MVA
1990
140views Computer Vision» more  MVA 1990»
13 years 8 months ago
Recognition of Human Motion Based on Interpretation of 2D Pattern Deformation
This paper presents an approach to recognize human motion from singleviewed image sequencein order to realize a new man-computerinterface.Thehuman body is assumed to be linked mod...
Keiko Shiraishi, Mutsuhiro Terauchi, Kenji Onaga
MICCAI
2004
Springer
14 years 8 months ago
An Uncertainty-Driven Hybrid of Intensity-Based and Feature-Based Registration with Application to Retinal and Lung CT Images
Abstract. A new hybrid of feature-based and intensity-based registration is presented. The algorithm reflects a new understanding of the role of alignment error in the generation o...
Charles V. Stewart, Ying-Lin Lee, Chia-Ling Tsai