Enhancing RANSAC by Generalized Model Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03096474" target="_blank" >RIV/68407700:21230/04:03096474 - 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
Enhancing RANSAC by Generalized Model Optimization
Original language description
An extension of the RANSAC procedure is proposed. By adding a generalized model optimization step (the LO step) applied only to models with a score (quality) better than all previous ones, an algorithm with the following desirable properties is obtained:a near perfect agreement with theoretical (i.e. optimal) performance and lower sensitivity to noise and poor conditioning. The chosen scheduling strategy is shown to guarantee that the optimization step is applied so rarely that it has minimal impact onthe execution time.
Czech name
Není k dispozici
Czech description
Není k dispozici
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
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Asian Conference on Computer Vision (ACCV)
ISBN
89-954842-0-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
812-817
Publisher name
Asian Federation of Computer Vision Societies
Place of publication
Seoul
Event location
Jeju Island
Event date
Jan 27, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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