Detection and matching of curvilinear structures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00179789" target="_blank" >RIV/68407700:21230/11:00179789 - 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
Detection and matching of curvilinear structures
Original language description
We propose an approach to curvilinear and wiry object detection and matching based on a new curvilinear region detector (CRD) and a shape context-like descriptor (COH). Standard methods for local patch detection and description are not directly applicable to wiry objects and curvilinear structures, such as roads, railroads and rivers i.e. that most elliptical matches around features cover only the object. The detection process is first evaluated in terms of segmentation quality of curvilinear regions. The repeatability of the detection is then assessed using the protocol introduced in Mikolajczyk et al. Experiments show that the CRD is at least as robust as to several image acquisition conditions changes (viewpoint, scale, illumination, compression, blur) as the commonly used affine-covariant detectors. The paper also introduces an image collection containing wiry objects and curvilinear structures (the W?CS dataset).
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F07%2F1317" target="_blank" >GA102/07/1317: Methods for Visual Recognition of Large Collections of Non-rigid Objects</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Pattern recognition
ISSN
0031-3203
e-ISSN
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Volume of the periodical
44
Issue of the periodical within the volume
7
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
14
Pages from-to
1514-1527
UT code for WoS article
000288841400014
EID of the result in the Scopus database
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