Illumination correction or Color Constancy (CC) is the ability of humans for resolving the apparent colors of objects in a given scene independently of the illumination source. For robust skin detection in images/videos, we evaluate and investigate the effect of CC approaches on static skin segmentation approaches. The effect of five CC approaches namely Gray-Edge CC, Gray-World CC, max-RGB CC,...

What we believe to be a new illumination scheme that achieves space invariance and permits analytical determination of the image intensity distribution is proposed for partially coherent imaging systems. No additional lenses are needed for phase correction in front of the object and no restriction on illumination coherence is required. Conditions on the axial placement of the condenser with res...

We propose a new procedure for image illumination correction with data-driven parameter choice. This aims at estimating the reflectance from corrupted version in which corruption is due to pointwise multiplicative artifact. The log -illumination artefact consists of “smooth” variations intensity are modelled by function lying finite dimensional space. Then -y-correction incorporated. question m...

Mobile document image acquisition integrates many distortions which must be corrected or detected on the device, before the document becomes unavailable or paying data transmission fees. In this paper, we propose a system to correct perspective and illumination issues, and estimate the sharpness of the image for OCR recognition. The correction step relies on fast and accurate border detection f...

Mapping of vegetation in mountain areas based on remote sensing is obstructed by atmospheric and topographic distortions. A variety of atmospheric and topographic correction methods has been proposed to minimize atmospheric and topographic effects and should in principle lead to a better land cover classification. Only a limited number of atmospheric and topographic combinations has been tested...

This paper investigates the estimation of 3D head poses with a partial ellipsoid model. To cope with large out-of-plane rotations and translation in depth, we extend conventional head tracking with a single camera to a stereo-based framework. To achieve more robust motion estimation (even under time-varying lighting conditions), we incorporate illumination correction into the aforementioned fra...

Illumination and pose invariance are the most challenging aspects of face recognition. In this paper we describe a fully automatic face recognition system that uses video information to achieve illumination and pose robustness. In the proposed method, highly nonlinear manifolds of face motion are approximated using three Gaussian pose clusters. Pose robustness is achieved by comparing the corre...

Evaluations of the state-of-the-art of both academic face recognition algorithms and commercial systems have shown that recognition performance of most current technologies degrades due to the variations of illumination. This paper investigates several illumination normalization methods and proposes some novel solutions. The main contribution of this paper includes: (1) A Gamma Intensity Correc...