Enhancing the Performance of GPU for Face Detection

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Provided by: International Journal of Computer Applications
Topic: Hardware
Format: PDF
Face detection and tracking is one of the fast-growing subjects in computer vision world, and one of the most processing intensive algorithms due to the variations in the face features. Computer Vision algorithms are considered computationally intensive problems. Face detection is one of the most complex objects to detect due to its variations. The objective is to enhance the face detection time (compared with other approaches) to reach a real-time application that will be later on used in augmented reality applications such as telepresence.
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