Locally optimized RANSAC
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F03%3A03091291" target="_blank" >RIV/68407700:21230/03:03091291 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Locally optimized RANSAC
Original language description
A new enhancement of RANSAC, the locally optimized RANSAC (LO-RANSAC), is introduced. It has been observed that, to find an optimal solution (with a given probability), the number of samples drawn in RANSAC is significantly higher than predicted from themathematical model. This is due to the incorrect assumption, that a model with parameters computed from an outlier-free sample is consistent with all inliers. The assumption rarely holds in practice. The locally optimized RANSAC makes no new assumptionsabout the data, on the contrary - it makes the above-mentioned assumption valid by applying local optimization to the solution estimated from the random sample.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LN00B096" target="_blank" >LN00B096: Center for Applied Cybernetics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
DAGM 2003: Proceedings of the 25th DAGM Symposium
ISBN
3-540-40861-4
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
236-243
Publisher name
Springer
Place of publication
Berlin
Event location
Magdeburg
Event date
Sep 10, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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