Improved methods of estimating shape from shading using the light source coordinate system
Artificial Intelligence
International Journal of Computer Vision
Estimation of Illuminant Direction, Albedo, and Shape from Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Illumination for computer generated pictures
Communications of the ACM
A Simple Strategy for Calibrating the Geometry of Light Sources
IEEE Transactions on Pattern Analysis and Machine Intelligence
Acquiring a Radiance Distribution to Superimpose Virtual Objects onto a Real Scene
IEEE Transactions on Visualization and Computer Graphics
Image-based reconstruction of spatial appearance and geometric detail
ACM Transactions on Graphics (TOG)
Estimation of Illuminant Direction and Intensity of Multiple Light Sources
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Estimation of Multiple Illuminants from a Single Image of Arbitrary Known Geometry
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Detection of Specularity Using Color and Multiple Views
ECCV '92 Proceedings of the Second European Conference on Computer Vision
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Estimation of multiple directional light sources for synthesis of augmented reality images
Graphical Models - Special issue on Pacific graphics 2002
Multiple-cue Illumination Estimation in Textured Scenes
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Estimation of the Size and Location of Multiple Area Light Sources
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Color in image and video processing: most recent trends and future research directions
Journal on Image and Video Processing - Color in Image and Video Processing
Estimation of multiple illuminants based on specular highlight detection
CCIW'11 Proceedings of the Third international conference on Computational color imaging
Polygonal light source estimation
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Hi-index | 0.00 |
Most existing illuminant estimation algorithms work with assumptions of specific source types (e.g. directional light source or point light source). The assumptions bring up two main limitations which significantly restrict their applicabilities: first, the prior knowledge about source types is needed; second, it can not handle complex scenes where multiple source types co-exist. In this paper, we develop a general light source model which is designed to model arbitrary light sources. With the general source model, we are able to estimate multiple illuminants of different types within a single unified framework. We use a plastic sphere to probe both diffuse and specular reflections of a scene. With specular reflections, we estimate geometric parameters of the illuminants by a novel ray tracing and matching algorithm. The diffuse reflections are used to estimate photometric parameters of the illuminants. We also notice that common source types are degenerate cases of the general source model under certain conditions. Therefore, we can approximate light sources with common source types by checking the conditions. The approximations serve as type determinations of light sources, which makes our framework extremely useful for lighting related algorithms which need prior knowledge about light sources. Experiment results on a variety of real images demonstrate the efficiency and accuracy of our algorithm.