Fast Detection of Multiple Textureless 3-D Objects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00212532" target="_blank" >RIV/68407700:21230/13:00212532 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-39402-7_11" target="_blank" >http://dx.doi.org/10.1007/978-3-642-39402-7_11</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-39402-7_11" target="_blank" >10.1007/978-3-642-39402-7_11</a>
Alternative languages
Result language
angličtina
Original language name
Fast Detection of Multiple Textureless 3-D Objects
Original language description
We propose a fast edge-based approach for detection and approximate pose estimation of multiple textureless objects in a single image. The objects are trained from a set of edge maps, each showing one object in one pose. To each scanning window in the input image, the nearest neighbor is found among these training templates by a two-level cascade. The first cascade level, based on a novel edge-based sparse image descriptor and fast search by index table, prunes the majority of background windows. The second level verifies the surviving detection hypotheses by oriented chamfer matching, improved by selecting discriminative edges and by compensating a bias towards simple objects. The method outperforms the state-of-the-art approach by Damen et al. (2012). The processing is near real-time, ranging from 2 to 4 frames per second for the training set size 10^4.
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
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
2013
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 Systems - 9th International Conference, ICVS 2013, St. Petersburg, Russian Federation, July 16-18, 2013. Proceedings
ISBN
978-3-642-39401-0
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
103-112
Publisher name
Springer
Place of publication
Heidelberg
Event location
St. Petersburg
Event date
Jul 16, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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