April 2017
Beginner to intermediate
250 pages
6h 28m
English
Content preview from Mastering OpenCV 3 - Second Edition
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Skin detection algorithm
There are many different techniques used for detecting skin regions, from simple color thresholds using RGB (Red-Green-Blue), HSV (Hue-Saturation-Brightness) values, or color histogram calculation and re-projection, to complex machine-learning algorithms of mixture models that need camera calibration in the CIELab color-space and offline training with many sample faces, and so on. But even the complex methods don't necessarily work robustly across various camera and lighting conditions and skin types. Since we want our skin detection to run on an embedded device, without any calibration or training, and we are just using skin detection for a fun image filter, it is sufficient for us to use a simple skin detection ...
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