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Optimization Method for the Parallel Algorithm for Finding Faces in Graphic Images

In computer-human interaction, many applications use automatic face detection that is a complex problem in image processing. The purpose of the research is to design the parallel version of the Viola-Jones object detection framework (VJOD) and to optimize it with the help of high-performance Symmetric Multiprocessing (SMP) systems to achieve a minimum operation time. The article discusses the VJOD in more detail. And also methods for optimizing the parallelization of this algorithm. Although the VJOD can be implemented to detect various objects, it is mainly used to detect faces in an image or in a video stream. Result: The face detection system based on VJOD is built and tested. Efficiency of the approach is illustrated with examples.