Illumination for computer generated pictures
Communications of the ACM
IEEE Computer Graphics and Applications
Rendering synthetic objects into legacy photographs
Proceedings of the 2011 SIGGRAPH Asia Conference
A survey of cast shadow detection algorithms
Pattern Recognition Letters
Computational Color Constancy: Survey and Experiments
IEEE Transactions on Image Processing
Object recoloring based on intrinsic image estimation
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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Lighting conditions estimation is a crucial point in many applications. In this paper, we show that combining color images with corresponding depth maps (provided by modern depth sensors) allows to improve estimation of positions and colors of multiple lights in a scene. Since usually such devices provide low-quality images, for many steps of our framework we propose alternatives to classical algorithms that fail when the image quality is low. Our approach consists in decomposing an original image into specular shading, diffuse shading and albedo. The two shading images are used to render different versions of the original image by changing the light configuration. Then, using an optimization process, we find the lighting conditions allowing to minimize the difference between the original image and the rendered one.