March 2019
Intermediate to advanced
538 pages
13h 38m
English
There are many different techniques used for detecting skin regions, from simple color thresholds using RGB (short for Red-Green-Blue) or HSV (short for 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, 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 ...