Publication detail

"Local Rank Differences" Image Feature Implemented on GPU

POLOK, L. HEROUT, A. ZEMČÍK, P. HRADIŠ, M. JURÁNEK, R. JOŠTH, R.

Original Title

"Local Rank Differences" Image Feature Implemented on GPU

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

A currently popular trend in object detection and pattern 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 executional time of its evaluation. Local Rank Differences 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) as well. The paper discusses the LRD features and their properties, describes an experimental implementation of LRD in graphics hardware, presents its empirical performance measures compared to alternative approaches and suggests several notes on practical usage of LRD and proposes directions for future work.

Keywords

Local Rank Differences, Object Detection, AdaBoost, Real-Time Detection

Authors

POLOK, L.; HEROUT, A.; ZEMČÍK, P.; HRADIŠ, M.; JURÁNEK, R.; JOŠTH, R.

RIV year

2008

Released

24. 10. 2008

Publisher

Springer Verlag

Location

Berlin, Heidelberg

ISBN

978-3-540-88457-6

Book

Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems

Edition

Lecture Notes In Computer Science; Vol. 5259

Pages from

170

Pages to

181

Pages count

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"
}