About: Fast Detection of Multiple Textureless 3-D Objects

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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. 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. (en)
Title	Fast Detection of Multiple Textureless 3-D Objects Fast Detection of Multiple Textureless 3-D Objects (en)
skos:prefLabel	Fast Detection of Multiple Textureless 3-D Objects Fast Detection of Multiple Textureless 3-D Objects (en)
skos:notation	RIV/68407700:21230/13:00212532!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(7E11036), P(TE01020415)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Matas, Jiří Werner, Tomáš Cai, Hongping
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	74705
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/13:00212532
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	visual recognition; scanning window; textureless objects (en)
http://linked.open.../riv/klicoveSlovo	visual recognition scanning window textureless objects
http://linked.open...ontrolniKodProRIV	[3025E514DFF2]
http://linked.open...v/mistoKonaniAkce	St. Petersburg
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Computer Vision Systems - 9th International Conference, ICVS 2013, St. Petersburg, Russian Federation, July 16-18, 2013. Proceedings
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	V3C - Visual Computing Competence Center Dextrous Assembler Robot Working with embodied INtelligence
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Matas, Jiří Werner, Tomáš Cai, Hongping
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-07-16 (xsd:date)
issn	0302-9743
number of pages	10 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-39402-7_11
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-39401-0
http://localhost/t...ganizacniJednotka	21230

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