Publication Details
"Local Rank Differences" Image Feature Implemented on GPU
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT)
Juránek Roman, Ing., Ph.D. (DCGM FIT BUT)
Jošth Radovan, Ing. (DCGM FIT BUT)
Local Rank Differences, Object Detection, AdaBoost, Real-Time Detection
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.
@INPROCEEDINGS{FITPUB8971,
author = "Luk\'{a}\v{s} Polok and Adam Herout and Pavel Zem\v{c}\'{i}k and Michal Hradi\v{s} and Roman Jur\'{a}nek and Radovan Jo\v{s}th",
title = "{"}Local Rank Differences{"} Image Feature Implemented on GPU",
pages = "170--181",
booktitle = "Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems",
series = "Lecture Notes In Computer Science; Vol. 5259",
year = 2008,
location = "Berlin, Heidelberg, DE",
publisher = "Springer Verlag",
ISBN = "978-3-540-88457-6",
language = "english",
url = "https://www.fit.vut.cz/research/publication/8971"
}