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» Maximum-Likelihood Image Matching
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IPMI
1999
Springer
16 years 7 months ago
Consistent Linear-Elastic Transformations for Image Matching
Abstract. A fundamental problem with a large class of image registration techniques is that the estimated transformation from image A to B does not equal the inverse of the estimat...
Gary E. Christensen
ACCV
2006
Springer
16 years 5 days ago
Matching Gait Image Sequences in the Frequency Domain for Tracking People at a Distance
This paper describes a new method to track people walking by matching their gait image sequences in the frequency domain. When a person walks at a distance from a camera, that pers...
Ryusuke Sagawa, Yasushi Makihara, Tomio Echigo, Ya...
CORR
2006
Springer
242views Education» more  CORR 2006»
15 years 6 months ago
Matching Edges in Images ; Application to Face Recognition
: This communication describes a representation of images as a set of edges characterized by their position and orientation. This representation allows the comparison of two images...
Joël Le Roux, Philippe Chaurand, Mickael Urru...
CVPR
2008
IEEE
16 years 8 months ago
Enforcing stochastic inverse consistency in non-rigid image registration and matching
This paper presents a new method to enforce inverse consistency in nonrigid image registration and matching. Conventional approaches assume diffeomorphic transformation, implicitl...
Sai Kit Yeung, Chi-Keung Tang, Pengcheng Shi, Josi...

Publication
7756views
17 years 5 months ago
A New Grey-Scale Template Image Matching Algorithm Using the Cross-Sectional Histogram Correlation Method
A new correlation technique for Grey-Scale Template Image Matching, the Cross-Sectional Histogram Correlation (CHC) Method, is proposed. In comparison to the traditional, widely-us...
Ryo Takei