Geometric Hashing with Local Affine Frames
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F06%3A03124625" target="_blank" >RIV/68407700:21230/06:03124625 - 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
Geometric Hashing with Local Affine Frames
Original language description
We propose a novel representation of local image structure and a matching scheme that are insensitive to a wide range of appearance changes. The representation is a collection of local affine frames that are constructed on outer boundaries of maximally stable extremal regions (MSERs) in an affine-covariant way. Each local affine frame is de- scribed by a relative location of other local affine frames in its neighborhood. The image is thus represented by quan- tities that depend only on the location of the boundaries of MSERs. Inter-image correspondences between local affine frames are formed in constant time by geometric hashing. Direct detection of local affine frames removes the require- ment of point-based hashing to establish reference frames in acombinatorial way, which has in the case of affine trans- form complexity that is cubic in the number of points. Local affine frames, which are also the quantities represented in the hash table, occupy a 6D space and hence data collisions
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/1M0567" target="_blank" >1M0567: Centre for Applied Cybernetics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2006
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 Conference on Computer Vision and Pattern Recognition (CVPR)
ISBN
0-7695-2597-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
879-884
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
New York
Event date
Jun 17, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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