About: GP-GPU Implementation of the %22Local Rank Differences%22 Image Feature

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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	A currently popular trend in object detection and pattern<br>recognition is usage of statistical classifiers, namely AdaBoost and its modifications. The speed performance of these classifiers largely depends on the low level image features they are using: both on the amount of information the feature provides and the processor time of its evaluation. Local Rank Dierences is an image feature that is alternative to commonly used haar wavelets. It is suitable for implementation in programmable (FPGA) or specialized (ASIC) hardware, but - as this paper shows - it performs very well on graphics hardware (GPU) used in general purpose manner (GPGPU, namely CUDA in this case) as well. The paper discusses the LRD features and their properties, describes an experimental implementation of the LRD in graphics hardware using CUDA, presents its empirical performance measures compared to alternative approaches, suggests several notes on practical usage of LRD and proposes directions for future work. A currently popular trend in object detection and pattern<br>recognition is usage of statistical classifiers, namely AdaBoost and its modifications. The speed performance of these classifiers largely depends on the low level image features they are using: both on the amount of information the feature provides and the processor time of its evaluation. Local Rank Dierences is an image feature that is alternative to commonly used haar wavelets. It is suitable for implementation in programmable (FPGA) or specialized (ASIC) hardware, but - as this paper shows - it performs very well on graphics hardware (GPU) used in general purpose manner (GPGPU, namely CUDA in this case) as well. The paper discusses the LRD features and their properties, describes an experimental implementation of the LRD in graphics hardware using CUDA, presents its empirical performance measures compared to alternative approaches, suggests several notes on practical usage of LRD and proposes directions for future work. (en)
Title	GP-GPU Implementation of the %22Local Rank Differences%22 Image Feature GP-GPU Implementation of the %22Local Rank Differences%22 Image Feature (en)
skos:prefLabel	GP-GPU Implementation of the %22Local Rank Differences%22 Image Feature GP-GPU Implementation of the %22Local Rank Differences%22 Image Feature (en)
skos:notation	RIV/00216305:26230/08:PU80209!RIV10-MSM-26230___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA201/06/1821), P(LC06008), Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Herout, Adam Zemčík, Pavel Hradiš, Michal Jošth, Radovan
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	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	369553
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/08:PU80209
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	pattern recognition, adaptive boosting, AdaBoost, WaldBoost, image features, LRD, Local Rank Differences, hardware acceleration<br> (en)
http://linked.open.../riv/klicoveSlovo	AdaBoost image features WaldBoost adaptive boosting pattern recognition LRD Local Rank Differences hardware acceleration<br>
http://linked.open...ontrolniKodProRIV	[9DF00A344959]
http://linked.open...v/mistoKonaniAkce	Varšava
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Proceedings of International Conference on Computer Vision and Graphics 2008
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Center of Computer Graphics Algorithms of image recognition
http://linked.open...UplatneniVysledku	2008
http://linked.open...iv/tvurceVysledku	Herout, Adam Zemčík, Pavel Jošth, Radovan Hradiš, Michal
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2008-11-10 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
number of pages	11 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-02344-6
http://localhost/t...ganizacniJednotka	26230

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