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ICCV
2007
IEEE
14 years 6 months ago
A Robust Graph-Based Method for The General Correspondence Problem Demonstrated on Image Stitching
We pose robust matching with parametric and non-parametric constraints as the problem of finding a stable independent set (SIS) in an oriented graph whose vertices are all possible...
Martin Bujnak, Radim Sára
PAMI
2008
147views more  PAMI 2008»
13 years 4 months ago
Image Stitching Using Structure Deformation
The aim of this paper is to achieve seamless image stitching without producing visual artifact caused by severe intensity discrepancy and structure misalignment, given that the inp...
Jiaya Jia, Chi-Keung Tang
CVPR
2011
IEEE
12 years 11 months ago
Feature Guided Motion Artifact Reduction with Structure-Awareness in 4D CT Images
In this paper, we propose a novel method to reduce the magnitude of 4D CT artifacts by stitching two images with a data-driven regularization constrain, which helps preserve the l...
Dongfeng Han, John Bayouth, Qi Song, sudershan Bha...
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
14 years 9 months ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
GBRPR
2009
Springer
13 years 2 months ago
Electric Field Theory Motivated Graph Construction for Optimal Medical Image Segmentation
In this paper, we present a novel graph construction method and demonstrate its usage in a broad range of applications starting from a relatively simple single-surface segmentation...
Yin Yin, Qi Song, Milan Sonka