视频中面部表情统计分析的多核加速实现

2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT) Pub Date : 2016-09-01 DOI:10.1109/STC-CSIT.2016.7589869

Sümeyye Bayrakdar, I. Yücedag, D. Akgün

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引用次数: 1

摘要

近年来，面部表情分析已成为计算机视觉和图像处理领域的重要研究方向之一。快速准确地分析面部表情在许多应用软件系统中起着至关重要的作用。在本研究中，提出了一种新的算法来加速基于视频的面部表情分析，该算法使用三次bsamizier曲线进行。介绍了在多核计算机上用并行线程加速表达式分析的性能评价。实验采用eNTERFACE'05情绪视频数据库进行。在采用超线程技术的四核处理器上获得了实验结果。实验结果表明，采用2个线程的四核处理器可获得1.8倍左右的加速，4个线程可获得2.9倍左右的加速，8个线程可获得3.5倍左右的加速。

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A multicore accelerated implementation for statistical analysis of facial expressions in video

Recently, the analysis of facial expressions has become one of the important research areas in computer vision and image processing. Analysing facial expressions quickly and accurately play a critical role in many software systems for various applications. In this study, a new algorithm is proposed for the acceleration of video-based facial expression analysis that is performed using cubic Bézier curves. Performance evaluation of the expression analysis accelerated with parallel threads on multi-core computers has been presented. The experiments have been conducted with eNTERFACE'05 emotion video database. Experimental results were obtained using quad-core processor with Hyper Threading technology. According to experimental results, quad core processor using two threads produced about 1.8 fold speed-up and four threads produced about 2.9 fold speed-up while eight threads produced about 3.5 fold speed-up has been obtained.

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来源期刊

2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)

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