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report

Dense Methods for Image Alignment with an Application to 3D Tracking

Crivellaro, Alberto  
•
Fua, Pascal  
•
Lepetit, Vincent  
2014

This survey focuses on a class of methods for image alignment based on a global, iterative optimization. We synthetically describe the existing methods (included the recent Efficient Second Order Method), compare their theoretical aspects, computational costs and implementation issues, and finally present an example of application to 3D tracking, involving a complex, non-linear warp.

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Type
report
Author(s)
Crivellaro, Alberto  
Fua, Pascal  
Lepetit, Vincent  
Date Issued

2014

Total of pages

25

Subjects

Image Alignment

•

3D Tracking

•

Inverse Compositional algorithm

•

Lucas Kanade

•

ESM

Written at

EPFL

EPFL units
CVLAB  
Available on Infoscience
March 25, 2014
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/102178
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