The shading on curved surfaces is a cue to shape. Current computer vision methods for
analyzing shading use physically unrealistic models, have serious mathematical problems …

The paper presents a CEGAR-based procedure for verifying stability (region stabillity) of
CPS modeled as hybrid automata. It relies a characterization of the blocking property of …

Surface irradiance signals are turned into outgoing radiance through the surface reflectance
function, which can be significantly perturbed by the illumination conditions. Due to their low …

AdaBoost has been applied to object detection to construct the detectors with high
performance of discrimination and generalization by single-feature learner. However, the …

Face recognition under varying illumination conditions is an unsolved problem. Illumination
normalization method is a common preprocessing method for this problem. One of the most …

Automatic face recognition remains a challenging task due to factors such as variations in
recording condition, pose, and age. Many schemes have emerged to enhance the …

BACKGROUND Face recognition technology is a type of pattern recogni tion used to identify
an individual based on video or still frame images of the individual's face. Typically, a data …

In this chapter, we show that effective systems can account for the effects of lighting using
fewer than 10 degrees of freedom. This can have considerable impact on the speed and …

This paper proposes an enhanced illumination compensation algorithm, which can
compensate for the uneven illuminations on human faces and reconstruct face images in …

In this article, we present an automatic face recognition system. We show that fractal features
obtained from Iterated Function System allow a successful face recognition and outperform …