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_e _e _aEspiritu, Christine Joy R. and Singson, Aaron James L. _d _b4 _u _c0 _q16 |
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_a _aHuman face detection and recognition / _d _b _n _cEspiritu, Christine Joy R. and Singson, Aaron James L. _h6 _p |
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_3 _3 _a _d _b _cMarch 2004.46 |
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_a _aUndergraduate Thesis: (Bachelor of in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2004. _d _b _c56 |
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_b _b _c _aABSTRACT: The study of Human Face Detection and Recognition of the proponents was inspired by the thesis Human Face Detector created by the previous proponents namely, Janario Jiao and Mary Ann Guelas. This paper is about an attempt to unravel the classical problem of automated human face detection and recognition. A near real-time, fully automated computer vision system was developed to detect faces and recognize them. In the implemented system, automated face detection was achieved using Eigenfaces and Guassian Pyramids Algorithm. The natural symmetry of the face in search of the exact face location. Once the location of the face in an image was known, this pixel region was extracted and the test subject was recognized using principal component analysis, also known as the eigenface approach. _u |
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