Self-Supervised Leaf Segmentation under Complex 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...

Leaf Segmentation under Loosely Controlled Conditions

We propose a robust and accurate method for segmenting specular objects acquired under loosely controlled conditions. We focus here on leaves because leaf segmentation plays a crucial role for plant identification, and accurately capturing the local boundary structures is critical for the success of the recognition. Popular techniques are based on Expectation-Maximization and estimate the color...

Skin Colour Detection Under Changing Lighting Conditions

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...

Physiologic anisocoria under various lighting conditions

Purpose To evaluate the measurement of anisocoria in a group of ocular healthy subjects using a standardized protocol in scotopic, mesopic, and photopic lighting conditions, and determine the optimal threshold of difference in pupil diameter in determining physiologic anisocoria. Methods Right and left pupil diameters of 126 ocular healthy subjects with a mean age 30.5±7.8 years (40 males and...