Evaluation of Different Features for Face Recognition in Video
Canada Border Services Agency Ottawa ON Canada
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With man One of the most critical tasks in automated face recognition technology is the extraction of facial features from a facial images. The most critical task in each face recognition FR technology, which contributes the most to the success of particular FR products in particular applications and which is highly protected by industries developing those products, is the extraction of facial features from a facial image. This report presents the performance comparison of several publicly reported feature extraction algorithms for face recognitionin video. The evaluated features are Harris corner detection features, FAST Features from Accelerated Segment Test, GFTT Good Features To Track, MSER Maximally Stable Extremal Regions, and HOG Histograms of Oriented Gradients.