Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
POLOK, L. HEROUT, A. ZEMČÍK, P. HRADIŠ, M. JURÁNEK, R. JOŠTH, R.
Originální název
"Local Rank Differences" Image Feature Implemented on GPU
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
A currently popular trend in object detection and pattern recognitionis usage of statistical classifiers, namely AdaBoost and itsmodifications. The speed performance of these classifiers largelydepends on the low level image features they are using: both on theamount of information the feature provides and the executional time ofits evaluation. Local Rank Differences is an image feature that isalternative to commonly used haar wavelets. It is suitable forimplementation in programmable (FPGA) or specialized (ASIC) hardware,but --- as this paper shows --- it performs very well on graphicshardware (GPU) as well. The paper discusses the LRD features and theirproperties, describes an experimental implementation of LRD in graphicshardware, presents its empirical performance measures compared toalternative approaches and suggests several notes on practical usage ofLRD and proposes directions for future work.
Klíčová slova
Local Rank Differences, Object Detection, AdaBoost, Real-Time Detection
Autoři
POLOK, L.; HEROUT, A.; ZEMČÍK, P.; HRADIŠ, M.; JURÁNEK, R.; JOŠTH, R.
Rok RIV
2008
Vydáno
24. 10. 2008
Nakladatel
Springer Verlag
Místo
Berlin, Heidelberg
ISBN
978-3-540-88457-6
Kniha
Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Edice
Lecture Notes In Computer Science; Vol. 5259
Strany od
170
Strany do
181
Strany počet
12
BibTex
@inproceedings{BUT29656, author="Lukáš {Polok} and Adam {Herout} and Pavel {Zemčík} and Michal {Hradiš} and Roman {Juránek} and Radovan {Jošth}", title="{"}Local Rank Differences{"} Image Feature Implemented on GPU", booktitle="Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems", year="2008", series="Lecture Notes In Computer Science; Vol. 5259", pages="170--181", publisher="Springer Verlag", address="Berlin, Heidelberg", isbn="978-3-540-88457-6" }