A Multicore Accelerated Implementation for Statistical Analysis of Facial Expressions in Video
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Dosyalar
Tarih
2016
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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 Bezier 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.
Açıklama
XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT) -- SEP 06-10, 2016 -- Lviv, UKRAINE
WOS: 000386737600015
WOS: 000386737600015
Anahtar Kelimeler
Cubic Bezier curves, facial expression analysis, multi-core acceleration, parallel programming
Kaynak
2016 Xith International Scientific And Technical Conference Computer Sciences And Information Technologies (Csit)
WoS Q Değeri
N/A
