How does the hue contribute to construct better colour features?

Abstract

We explore the impact of including hue in a feature construction algorithm for colour target detection. Hue has a long standing record as a good attribute in colour segmentation, so it is expected to strengthen features generated by only RGB. Moreover, it may open the door to infer compact feature maps for skin detection. However, contrary to our expectations, those new features where hue participates tend to produce poor features in terms of recall or precision. This result shows that (i) better features can be constructed without the costly hue, and (ii) unfortunately a good feature map for skin detection is still evasive.