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- W2374416462 abstract "Textural and structural characteristics are two of the principal features of human faces,both of which have advantages and disadvantages for face recognition.In this paper,we propose a Gaussian weights based new feature combined with texture feature and structure feature approach.In this method,we first use a standard fiducial point detector to locating five face key-points(e.g.,the midpoint of the eye),and then a new feature will be generated dynamically by weighting the gray value of the pixel according to the distance between the pixel and its relative key-point.The new feature,originated from the texture feature,ties the geometric structural feature of the pixels and the key-point information and delivers better performance than the original texture feature for pose variations.Meanwhile,the five key-points are beneficial to part-based face recognition.Experimental results show that the new feature can improve recognition rates by about 5% than the original texture feature,and improved the part-based method by combining the new feature and the face blocking;achieving recognition rates close to 100% for two different available databases." @default.
- W2374416462 created "2016-06-24" @default.
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- W2374416462 date "2015-01-01" @default.
- W2374416462 modified "2023-09-28" @default.
- W2374416462 title "Face Feature Weighted by Fusing Texture and Shape" @default.
- W2374416462 hasPublicationYear "2015" @default.
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