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» Maximum-Likelihood Image Matching
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126
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JEI
2006
82views more  JEI 2006»
15 years 3 months ago
Real-time mosaic using sequential graph
To prevent large error accumulation in multiple image registration considering real-time applications, we propose a new fast global mosaic method using sequential block matching in...
Dae Woong Kim, Ki-Sang Hong
128
Voted
PRL
2006
163views more  PRL 2006»
15 years 3 months ago
3D target recognition using cooperative feature map binding under Markov Chain Monte Carlo
A robust and effective feature map integration method is presented for infrared (IR) target recognition. Noise in an IR image makes a target recognition system unstable in pose es...
Sungho Kim, In-So Kweon
257
Voted
CRV
2011
IEEE
337views Robotics» more  CRV 2011»
14 years 3 months ago
Object Detection Using Principal Contour Fragments
Abstract—Contour features play an important role in object recognition. Psychological experiments have shown that maximum-curvature points are most distinctive along a contour [6...
Changhai Xu, Benjamin Kuipers
ECCV
2002
Springer
16 years 5 months ago
A Comparison of Search Strategies for Geometric Branch and Bound Algorithms
Over the last decade, a number of methods for geometric matching based on a branch-and-bound approach have been proposed. Such algorithms work by recursively subdividing transforma...
Thomas M. Breuel
ICIP
2005
IEEE
16 years 5 months ago
Robust facial expression recognition using local binary patterns
A novel low-computation discriminative feature space is introduced for facial expression recognition capable of robust performance over a rang of image resolutions. Our approach i...
Caifeng Shan, Shaogang Gong, Peter W. McOwan