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» Maximum-Likelihood Image Matching
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ISBI
2004
IEEE
16 years 4 months ago
Local Feature Matching Using Entropic Graphs
We present a general framework for image discrimination based on identifying small, localized differences between images. Our novel matching scheme is based on an alternate inform...
Huzefa Neemuchwala, Alfred O. Hero, Paul L. Carson...
142
Voted
TIP
2002
110views more  TIP 2002»
15 years 3 months ago
Localization based on DEM matching using multiple aerial image pairs
This paper proposes the localization algorithm that estimates translation parameters of an aircraft by comparing the sampled elevation map recovered from aerial sequence images, an...
Dong-Gyu Sim, Rae-Hong Park
125
Voted
IJCV
2007
174views more  IJCV 2007»
15 years 3 months ago
Automatic Panoramic Image Stitching using Invariant Features
This paper concerns the problem of fully automated panoramic image stitching. Though the 1D problem (single axis of rotation) is well studied, 2D or multi-row stitching is more di...
Matthew Brown, David G. Lowe
140
Voted
CVPR
2006
IEEE
16 years 5 months ago
Image Matching Using Photometric Information
Image matching is an essential task in many computer vision applications. It is obvious that thorough utilization of all available information is critical for the success of match...
Michael Kolomenkin, Ilan Shimshoni
104
Voted
ICIAP
2005
ACM
16 years 3 months ago
Efficient Shape Matching Using Weighted Edge Potential Functions
An efficient approach to shape matching in digital images is presented. The method, called Weighted Edge Potential Function, is a significant improvement of the EPF similarity meas...
Minh-Son Dao, Francesco DeNatale, Andrea Massa