Efficient color face detection algorithm under different lighting conditions

Human Face Detection under Complex Lighting Conditions

This paper presents a novel method for detecting human faces in an image with complex backgrounds. The approach is based on visual information of the face from the template image and is commenced with the estimation of the face area in the given image. As the genetic algorithm is a computationally expensive process, the searching space for possible face regions is limited to possible facial fea...

Face Recognition System under Varying Lighting Conditions

Making recognition more reliable under uncontrolled lighting conditions is one of the most important challenges for practical face recognition systems. Other recognition systems don’t nullify most of the lighting variations. We tackle this by combining the strengths of robust illumination normalization, local texture-based face representations, distance transform based matching and kernel based...

Skin Colour Detection Under Changing Lighting Conditions

An Efficient Algorithm for Face Detection in Color Images

In this paper, we propose a novel approach for robust skin segmentation and face similarity measure. The proposed skin segmentation is a method for integrating the chrominance components of well-known color models. The goal of the method of skin detection is to select the appropriate color model for verifying the skin pixel under different lighting conditions and various types of skin color. Th...

Face Recognition under Difficult Lighting Conditions and Occlusions

In recent years face recognition has received substantial attention from researchers in biometrics, pattern recognition, and computer vision communities. At least two reasons account for this trend: the first is the wide range of commercial and law enforcement applications, and the second is the availability of feasible technologies in recent years of research. Many existing methods in face rec...