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HEROUT, A. ZEMČÍK, P. JURÁNEK, R. HRADIŠ, M.
Original Title
Implementation of the "Local Rank Differences" Image Feature Using SIMD Instructions of CPU
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
Usage of statistical classifiers, namely AdaBoost and its modifications, in object detection and pattern recognition is a contemporary and popular trend . The computatiponal performance of these classifiers largely depends on low level image features they are using: both from the point of view of the amount of information the feature provides and the executional time of its evaluation. Local Rank Difference is an image feature that is alternative to commonly used Haar features. It is suitable for implementation in programmable (FPGA) or specialized (ASIC) hardware as well as graphics hardware (GPU). Additionally, as shown in this paper, it performs very well on common CPU. The paper discusses the LRD features and their properties, describes an experimental implementation of LRD using the multimedia instruction set of current general-purpose processors, 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, LRD, AdaBoost, Object Detection
Authors
HEROUT, A.; ZEMČÍK, P.; JURÁNEK, R.; HRADIŠ, M.
RIV year
2008
Released
15. 10. 2008
Publisher
IEEE Computer Society
Location
Bhubaneswar
ISBN
978-0-7695-3476-3
Book
Proceedings of Sixth Indian Conference on Computer Vision, Graphics and Image Processing
Pages from
1
Pages to
9
Pages count
URL
https://www.fit.vut.cz/research/publication/8762/
BibTex
@inproceedings{BUT32119, author="Adam {Herout} and Pavel {Zemčík} and Roman {Juránek} and Michal {Hradiš}", title="Implementation of the {"}Local Rank Differences{"} Image Feature Using SIMD Instructions of CPU", booktitle="Proceedings of Sixth Indian Conference on Computer Vision, Graphics and Image Processing", year="2008", pages="1--9", publisher="IEEE Computer Society", address="Bhubaneswar", isbn="978-0-7695-3476-3", url="https://www.fit.vut.cz/research/publication/8762/" }