Fast L1-Based RANSAC for Homography Estimation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00303522" target="_blank" >RIV/68407700:21230/16:00303522 - isvavai.cz</a>
Result on the web
<a href="http://cmp.felk.cvut.cz/pub/cmp/articles/drbohlav/Serych-CVWW-2016.pdf" target="_blank" >http://cmp.felk.cvut.cz/pub/cmp/articles/drbohlav/Serych-CVWW-2016.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Fast L1-Based RANSAC for Homography Estimation
Original language description
We revisit the problem of local optimization (LO) in RANSAC for homography estimation. The standard state-of-the-art LO-RANSAC improves the plain version's accuracy and stability, but it may be computationally demanding, it is complex to implement and requires setting multiple parameters. We show that employing L1 minimization instead of the standard LO step of LO-RANSAC leads to results with similar precision. At the same time, the proposed L1 minimization is significantly faster than the standard LO step of [8], it is easy to implement and it has only a few of parameters which all have intuitive interpretation. On the negative side, the L1 minimization does not achieve the robustness of the standard LO step, its probability of failure is higher.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 21st Computer Vision Winter Workshop
ISBN
978-961-90901-7-6
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
Slovenian Pattern Recognition Society
Place of publication
Ljubljana
Event location
Rimske Toplice
Event date
Feb 3, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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