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- W2368649414 abstract "Skin detection is the basic technology of human face recognition, video monitoring, etc. A new skin detection method is presented. Firstly, an image is divided into 8×8 blocks from each of which 3 texture features can be extracted. These features are sensitive to the horizontal, vertical and diagonal textures accordingly, and they are utilized by a bayesian method based block texture feature model to distinguish the skin blocks. Then, two color features are extracted from 64 pixels in every block. Every pixel can be filtered using so-called positive-negative lookup table method. This skin detection method integrates skin color and texture features to detect skin on multi-scale with SPM and look-up table method. The experimental result shows that this method can maintain low mis-recognition error while high skin recognition rate can be reached." @default.
- W2368649414 created "2016-06-24" @default.
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- W2368649414 date "2003-01-01" @default.
- W2368649414 modified "2023-09-22" @default.
- W2368649414 title "Multi-feature based integrated skin detection method" @default.
- W2368649414 hasPublicationYear "2003" @default.
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