Change search
ReferencesLink to record
Permanent link

Direct link
Motion of moving camera from point matches: comparison of two robust estimation methods
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geodesy and Satellite Positioning. (Geodesi)ORCID iD: 0000-0003-0382-9183
2014 (English)In: IET Computer Vision, ISSN 1751-9632, E-ISSN 1751-9640, Vol. 8, no 6, 682-689 p.Article in journal (Refereed) Published
Abstract [en]

A robust estimation method, Balanced Least Absolute Value Estimator (BLAVE), is introduced and compared with thetraditional RANdom SAmple Consensus (RANSAC) method. The comparison is performed empirically by applying bothestimators on the camera motion parameters estimation problem. A linearised model for this estimation problem is derived.The tests were performed on a simulated scene with added random noise and gross errors as well as on actual images takenby a mobile mapping system. The greatest advantage of BLAVE is that it processes all observations at once as well as itsmedian-like property: the estimated parameters are not influenced by the size of the outliers. It can tolerate up to 50% outliersin data and still produce accurate results. The greatest disadvantage of RANSAC is that the results are not repeatable becauseof the random sampling of data. Moreover, the results are less accurate, because RANSAC generally does not produce a‘best-fit’ parameter estimation. The number of trials, which must be tested by RANSAC to find a reasonable solution,depends on the portion of outliers in data. The computational time for BLAVE does not depend on the portion of outliers inthe observations, but it grows with the number of observations, same as RANSAC.

Place, publisher, year, edition, pages
Institution of Engineering and Technology, 2014. Vol. 8, no 6, 682-689 p.
Keyword [en]
Robust estimation, motion of camera, balanced least absolute value estimator
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Geodesy and Geoinformatics
URN: urn:nbn:se:kth:diva-149639DOI: 10.1049/iet-cvi.2013.0271ISI: 000348194100021ScopusID: 2-s2.0-84915778513OAI: diva2:740439

QC 20140902

Available from: 2014-08-25 Created: 2014-08-25 Last updated: 2015-04-23Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Horemuz, MilanYueming, Zhao
By organisation
Geodesy and Satellite Positioning
In the same journal
IET Computer Vision
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 34 hits
ReferencesLink to record
Permanent link

Direct link