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Global parametric image alignment via high-order approximation
Y. Keller
, A. Averbuch
Ben-Gurion University of the Negev
Tel Aviv University
Research output
:
Contribution to journal
›
Article
›
peer-review
8
Scopus citations
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Dive into the research topics of 'Global parametric image alignment via high-order approximation'. Together they form a unique fingerprint.
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Keyphrases
Affine
100%
Global Motion
100%
Motion Model
100%
Affine Motion
100%
Projective Motion
100%
Convergence Rate
100%
Computer Vision
100%
Subpixel Accuracy
100%
Image Alignment
100%
Rigorous Analysis
100%
First-order Taylor Expansion
100%
Second-order Taylor Expansion
100%
Parametric Motion
100%
Fourier Domain
100%
Small Motion
100%
Convergence Property
100%
Model Translation
100%
Convergence Range
100%
First-order Methods
100%
High-order Approximation
100%
Degenerate Case
100%
Parametric Image
100%
Engineering
Approximation Order
100%
Image Alignment
100%
Taylor Expansion
100%
Computervision
50%
Fourier Transform
50%
Subpixels
50%
Convergence Property
50%
Rigorous Analysis
50%
Experimental Trial
50%
Global Motion
50%
Motion Model
50%
Computer Science
Approximation (Algorithm)
100%
Image Alignment
100%
Order Taylor Expansion
100%
Motion Model
50%
Computer Vision
50%
Convergence Property
50%
Mathematics
Approximation Order
100%
Parametric
100%
Projective
66%
Order Taylor Expansion
66%
Convergence Property
33%