Dynamic texture recognition under adverse lighting and weather conditions for outdoor environments

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...

Object Recognition under Various Lighting Conditions

This paper describes object recognition under various lighting conditions for a robot which finds a user-specified object and brings it to the user. The system first constructs object models under a known lighting condition. Because the lighting condition in model construction is different from that in object recognition, the system needs to transform the model’s color for the current lighting ...

Forward Vehicular Lighting and Inclement Weather Conditions

This paper summarizes research conducted to investigate the problem of forward visibility while driving during inclement weather. A review of the literature indicates that using narrow-distribution lamps, mounted away from the driver's line of sight, would result in the lowest amount of back-scattered light. The literature also indicates that the spectral content of light can influence glare an...

Decomposed Eigenface for Face Recognition under Various Lighting Conditions

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...