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Parallelization of Face Detection in Software (project for graduate course in parallel programming), using OpenCV
miwong/opencv
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Parallelization of Face Detection in Software This is the code for a project in ECE1747 Parallel Programming. Various parallelization and optimization techniques were employed to improve performance for the Viola-Jones face detection algorithm. These changes are meant to be used with the corresponding changes in the MEVBench repository (MEVBench is a computer vision benchmark suite designed for mobile devices). Implemented optimizations include: - Pipelining - Loop parallellization (synchronized and scheduled using a ticket-like scheme) - Cache tiling Report (containing speedup results and implementation details) can be found at: http://individual.utoronto.ca/miwong/files/FaceDetectionParallelization.pdf For more details on OpenCV: See http://opencv.willowgarage.com
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Parallelization of Face Detection in Software (project for graduate course in parallel programming), using OpenCV
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