Enhancing Gray Scale Images for Face Detection under Unstable Lighting Condition

Face detection in gray scale images using locally linear embeddings

The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial expression, occlusion, and aging. This paper employs a novel technique, known as Locally Linear Embedding (LLE), for solving the face detection problem. The LLE method performs dimensionality reduction on data for learni...

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 Detection in Still Gray Images

Real-time face location on gray-scale static images

This work presents a new approach to automatic face location on gray-scale static images with complex backgrounds. In a "rst stage our technique approximately detects the image positions where the probability of "nding a face is high; during the second stage the location accuracy of the candidate faces is improved and their existence is veri"ed. The experimentation shows that the algorithm perf...

Gray-scale hough transform for thick line detection in gray-scale images