Multiple Light Source Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Retrieving multiple light sources in the presence of specular reflections and texture
Computer Vision and Image Understanding
EURASIP Journal on Advances in Signal Processing
Accurately estimating reflectance parameters for color and gloss reproduction
Computer Vision and Image Understanding
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
Measuring the perception of light inconsistencies
Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization
Estimating illumination parameters in real space with application to image relighting
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
The technology of stereo photography and virtual reality in research of virtual museum
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
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We present a new method for the detection and estimation of multiple directional illuminants, using a single image of any object with known geometry and Lambertian reflectance. We use the resulting highly accurate estimates to modify virtually the illumination and geometry of a realscene and produce correctly illuminated Mixed Reality images. Our method obviates the need to modify the imaged scene by inserting calibration objects of any particular geometry, relying instead on partial knowledge of the geometry of the scene. Thus, the recovered multiple illuminants can be used both for image-based rendering and for shape reconstruction. Our method combines information both from the shading of the object and from shadows cast on the scene by the object. Initially we use a method based on shadows and a method based on shading independently. The shadow based method utilizes brightness variation inside the shadows cast by the object, whereas the shading based method utilizes brightness variation on the directly illuminated portions of the object. We demonstrate how the two sources of information complement each other in a number of occasions. We then describe an approach that integrates the two methods, with results superior to those obtained if the two methods are used separately. The resulting illumination information can be used (i) to render synthetic objects in a real photograph with correct illumination effects, and (ii) to virtually relight the scene.