Bayrakdar, SümeyyeYücedağ, İbrahimAkgün, Devrim2020-04-302020-04-302016978-1-5090-2739-2https://hdl.handle.net/20.500.12684/2383XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT) -- SEP 06-10, 2016 -- Lviv, UKRAINEWOS: 000386737600015Recently, 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.eninfo:eu-repo/semantics/closedAccessCubic Bezier curvesfacial expression analysismulti-core accelerationparallel programmingA Multicore Accelerated Implementation for Statistical Analysis of Facial Expressions in VideoConference Object6265N/A