Combining Multiple Shape Matching Techniques with Application to Place Recognition Task
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00225261" target="_blank" >RIV/68407700:21230/15:00225261 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-16628-5_29" target="_blank" >http://dx.doi.org/10.1007/978-3-319-16628-5_29</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-16628-5_29" target="_blank" >10.1007/978-3-319-16628-5_29</a>
Alternative languages
Result language
angličtina
Original language name
Combining Multiple Shape Matching Techniques with Application to Place Recognition Task
Original language description
Many methods have been proposed to solve the problem of shape matching, where the task is to determine similarity between given shapes. In this paper, we propose a novel method to combine many shape matching methods using procedural knowledge to increasethe precision of the shape matching process in retrieval problems like place recognition task. The idea of our approach is to assign the best matching method to each template shape providing the best classification for this template. The new incoming shape is compared against all templates using their assigned method. The proposed method increases the accuracy of the classification and decreases the time complexity in comparison to generic classifier combination methods.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computer Vision - ACCV 2014 Workshops
ISBN
978-3-319-16627-8
ISSN
0302-9743
e-ISSN
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Number of pages
14
Pages from-to
399-412
Publisher name
National University of Singapore
Place of publication
Singapore
Event location
Singapore
Event date
Nov 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000362452500029