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» Maximum-Likelihood Image Matching
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IPMI
1999
Springer
16 years 4 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
111
Voted
ACCV
2006
Springer
15 years 9 months 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...
160
Voted
CORR
2006
Springer
242views Education» more  CORR 2006»
15 years 3 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...
124
Voted
CVPR
2008
IEEE
16 years 5 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 2 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