University of Illinois Urbana-Champaign

Seeing Through the Blur

Mobahi, Hossein; Ma, Yi; Zitnick, Larry

Content Files
B40-DC_253.pdf

Permalink

https://hdl.handle.net/2142/74359

Description

Title
Seeing Through the Blur
Author(s)
  • Mobahi, Hossein
  • Ma, Yi
  • Zitnick, Larry
Issue Date
2011-12
Keyword(s)
  • Image alignment
  • Homography
  • Affine
Date of Ingest
  • 2015-04-06T20:54:51Z
  • 2017-07-14T23:10:20Z
Abstract
This paper addresses the problem of image alignment using models such as affine and homography and by directly using pixel intensity values. Coarse-to-fine scheme has become a standard for direct intensity-based alignment. It is believed that such coarse-to-fine scale sampling (Gaussian blur) can improve region of convergence of the alignment optimization. Although, it has been proposed that such isotropic blur may not be optimal for some motion models, no rigorous derivation for such kernels has been known to date. In this work, we derive kernels for some of the common motion models such as affine and homography, which are able to smooth the alignment objective function. This is appealing because the smoothing process often removes poor local minima and thus reaches deeper solutions. Our derivation shows that these kernels coincide with Gaussian blur of the image only for displacement motion.
Publisher
Coordinated Science Laboratory, University of Illinois at Urbana-Champaign
Series/Report Name or Number
Coordinated Science Laboratory Report no. UILU-ENG-11-2210, DC-253
Type of Resource
text
Genre of Resource
Report (Grant or Annual)
Language
English
Permalink
http://hdl.handle.net/2142/74359
Sponsor(s)/Grant Number(s)
National Science Foundation / NSF IIS 11-16012

Owning Collections

Report - Coordinated Science Laboratory PRIMARY