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30 September 2011 Energy conservation using face detection
Nilesh T. Deotale, Dhananjay R. Kalbande, Akassh A. Mishra
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Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 828526 (2011) https://doi.org/10.1117/12.913489
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt
Abstract
Computerized Face Detection, is concerned with the difficult task of converting a video signal of a person to written text. It has several applications like face recognition, simultaneous multiple face processing, biometrics, security, video surveillance, human computer interface, image database management, digital cameras use face detection for autofocus, selecting regions of interest in photo slideshows that use a pan-and-scale and The Present Paper deals with energy conservation using face detection. Automating the process to a computer requires the use of various image processing techniques. There are various methods that can be used for Face Detection such as Contour tracking methods, Template matching, Controlled background, Model based, Motion based and color based. Basically, the video of the subject are converted into images are further selected manually for processing. However, several factors like poor illumination, movement of face, viewpoint-dependent Physical appearance, Acquisition geometry, Imaging conditions, Compression artifacts makes Face detection difficult. This paper reports an algorithm for conservation of energy using face detection for various devices. The present paper suggests Energy Conservation can be done by Detecting the Face and reducing the brightness of complete image and then adjusting the brightness of the particular area of an image where the face is located using histogram equalization.
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Nilesh T. Deotale, Dhananjay R. Kalbande, and Akassh A. Mishra "Energy conservation using face detection", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828526 (30 September 2011); https://doi.org/10.1117/12.913489
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KEYWORDS
Facial recognition systems
Image processing
Image segmentation
Skin
Detection and tracking algorithms
Video surveillance
Image enhancement
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