Implementing the Local Binary Patterns with SIMD Instructions of CPU
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU89528" target="_blank" >RIV/00216305:26230/10:PU89528 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Implementing the Local Binary Patterns with SIMD Instructions of CPU
Original language description
Usage of statistical classifiers, namely AdaBoost and its modifications, is very common in object detection and pattern recognition. Performance of such classifiers strongly depends on low level features they use. This paper presents an experimental implementation of the Local Binary Patterns (LBP) that uses SIMD instructions for acceleration. The experiments shows that the proposed implementation is about six times faster than the plain C implementation (i.e. with no special optimizations) and superiorto optimized implementations of features with similar descriptive power.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LC06008" target="_blank" >LC06008: Center of Computer Graphics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of WSCG 2010
ISBN
978-80-86943-86-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
University of West Bohemia in Pilsen
Place of publication
Plzeň
Event location
Plzeň
Event date
Feb 1, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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