We show the proof of concept of unsupervised skin color constancy on faces from the PIE database. Skin segmentation is performed on the color compensated faces ...
Abstract. Accuracy of skin segmentation algorithms is highly sensitive to changes in lighting conditions. When the lighting condition in a scene is ...
Accuracy of skin segmentation algorithms is highly sensitive to changes in lighting conditions. When the lighting condition in a scene is different from ...
In this paper, we propose a new skin color model for segmentation which is invariant to illumination variation. It is based on illumination-free color space ...
Missing: constancy | Show results with:constancy
This paper addresses the problem of automatically detecting human skin in images without reliance on color information. A primary motivation of the work has ...
Missing: constancy | Show results with:constancy
Skin color constancy for illumination invariant skin segmentation. 著者名 ... skin color under varying illumination seen by different cameras at different color ...
This paper addresses the problem of automatically detecting human skin in images without reliance on color information. A primary motivation of the work has ...
Missing: constancy | Show results with:constancy
In this paper, skin colour is modelled based on a reflectance model of the skin, the parameters of the camera and light sources. In particular, the location of ...
Very few works have explored color constancy algorithms and used multiple color space representations for skin lesion segmentation. Goal: Leverage knowledge ...
Oct 22, 2024 · Each illumination region of color images are corrected base on the illuminant estimated by a local edge-based color constancy algorithm. Then, ...