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» Maximum-Likelihood Image Matching
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114
Voted
CVPR
2006
IEEE
15 years 9 months ago
Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs
We introduce the term cosegmentation which denotes the task of segmenting simultaneously the common parts of an image pair. A generative model for cosegmentation is presented. Inf...
Carsten Rother, Thomas P. Minka, Andrew Blake, Vla...
129
Voted
CVPR
2007
IEEE
16 years 5 months ago
Efficient MRF Deformation Model for Non-Rigid Image Matching
We propose a novel MRF-based model for deformable image matching (also known as registration). The deformation is described by a field of discrete variables, representing displace...
Alexander Shekhovtsov, Ivan Kovtun, Václav ...
113
Voted
CISST
2003
83views Hardware» more  CISST 2003»
15 years 4 months ago
Computational Efficiency of Structural Image Matching
This paper addresses computational efficiency issues of a new algebraic method for imagery registration/conflation. An algebraic approach to conflation/registration of images does ...
Richard Chase, Boris Kovalerchuk
135
Voted
CVPR
2006
IEEE
16 years 5 months ago
Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation
This paper presents a shape representation and a variational framework for the construction of diffeomorphisms that establish "meaningful" correspondences between images...
Byung-Woo Hong, Emmanuel Prados, Stefano Soatto, L...
151
Voted
CVPR
2011
IEEE
15 years 1 months ago
Where's Waldo: Matching People in Images of Crowds
Given a community-contributed set of photos of a crowded public event, this paper addresses the problem of finding all images of each person in the scene. This problem is very ch...
Rahul Garg, Deva Ramanan, Steve Seitz, Noah Snavel...