Error stabilization in successive estimation of registration parameters

V. Zagorodnov; Peter Jeffrey Ramadge

Error stabilization in successive estimation of registration parameters

V. Zagorodnov, Peter Jeffrey Ramadge

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

The problem of aligning images arises in many applications, such as mosaicking, video stabilization, medical imaging, aerial photography, etc. If the images form a long sequence, then the conventional approach of sequential registration leads to unstable error growth. To avoid this, additional measurements of registration parameters between images in some local neighborhood can be used to limit the error growth and greatly improve performance. We propose different approaches to the analytical evaluation of the performance of this estimation as a function of the sequence length and the maximum distance of allowed measurements.

Original language	English (US)
Title of host publication	IEEE International Conference on Image Processing
Pages	228-231
Number of pages	4
Volume	1
State	Published - Dec 1 2000
Event	International Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada Duration: Sep 10 2000 → Sep 13 2000

Other

Other	International Conference on Image Processing (ICIP 2000)
Country/Territory	Canada
City	Vancouver, BC
Period	9/10/00 → 9/13/00

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition
Hardware and Architecture
Electrical and Electronic Engineering

Cite this

@inproceedings{0920c372ceb54744b997b5dea07bda7c,

title = "Error stabilization in successive estimation of registration parameters",

abstract = "The problem of aligning images arises in many applications, such as mosaicking, video stabilization, medical imaging, aerial photography, etc. If the images form a long sequence, then the conventional approach of sequential registration leads to unstable error growth. To avoid this, additional measurements of registration parameters between images in some local neighborhood can be used to limit the error growth and greatly improve performance. We propose different approaches to the analytical evaluation of the performance of this estimation as a function of the sequence length and the maximum distance of allowed measurements.",

author = "V. Zagorodnov and Ramadge, {Peter Jeffrey}",

year = "2000",

month = dec,

day = "1",

language = "English (US)",

volume = "1",

pages = "228--231",

booktitle = "IEEE International Conference on Image Processing",

note = "International Conference on Image Processing (ICIP 2000) ; Conference date: 10-09-2000 Through 13-09-2000",

}

TY - GEN

T1 - Error stabilization in successive estimation of registration parameters

AU - Zagorodnov, V.

AU - Ramadge, Peter Jeffrey

PY - 2000/12/1

Y1 - 2000/12/1

N2 - The problem of aligning images arises in many applications, such as mosaicking, video stabilization, medical imaging, aerial photography, etc. If the images form a long sequence, then the conventional approach of sequential registration leads to unstable error growth. To avoid this, additional measurements of registration parameters between images in some local neighborhood can be used to limit the error growth and greatly improve performance. We propose different approaches to the analytical evaluation of the performance of this estimation as a function of the sequence length and the maximum distance of allowed measurements.

AB - The problem of aligning images arises in many applications, such as mosaicking, video stabilization, medical imaging, aerial photography, etc. If the images form a long sequence, then the conventional approach of sequential registration leads to unstable error growth. To avoid this, additional measurements of registration parameters between images in some local neighborhood can be used to limit the error growth and greatly improve performance. We propose different approaches to the analytical evaluation of the performance of this estimation as a function of the sequence length and the maximum distance of allowed measurements.

UR - http://www.scopus.com/inward/record.url?scp=0034444937&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034444937&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0034444937

VL - 1

SP - 228

EP - 231

BT - IEEE International Conference on Image Processing

T2 - International Conference on Image Processing (ICIP 2000)

Y2 - 10 September 2000 through 13 September 2000

ER -

Error stabilization in successive estimation of registration parameters

Abstract

Other

All Science Journal Classification (ASJC) codes

Other files and links

Fingerprint

Cite this