SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
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
Inverse global illumination: recovering reflectance models of real scenes from photographs
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
A Variational Framework for Retinex
International Journal of Computer Vision
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
Fast image synthesis of virtual objects in a real scene with natural shadings
Systems and Computers in Japan
Estimation of Dynamic Light Changes in Outdoor Scenes Without the use of Calibration Objects
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
ACM SIGGRAPH 2007 papers
Light source estimation of outdoor scenes for mixed reality
The Visual Computer: International Journal of Computer Graphics
Computer Animation and Virtual Worlds - CASA' 2010 Special Issue
Online Tracking of Outdoor Lighting Variations for Augmented Reality with Moving Cameras
IEEE Transactions on Visualization and Computer Graphics
Estimating the Natural Illumination Conditions from a Single Outdoor Image
International Journal of Computer Vision
Decomposition equation of basis images with consideration of global illumination
CVM'12 Proceedings of the First international conference on Computational Visual Media
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In augmented reality, it is essential that the rendered virtual objects are embedded harmonically into the view of the background scenes and their appearance should reflect the changing lighting condition of the real scene to ensure illumination consistency. In this paper, we propose a novel method to solve for the sunlight and skylight basis images of static outdoor scenes from a time-lapse image sequence. It is proved that the resulted basis images encapsulate the geometry and material reflectivity of the scene, correspond to the global illumination effects of the outdoor scene under a unit intensity of the sunlight and skylight. Our method is fully automatic. Unlike previous methods, it gets rid of the constraints that the reflectance of all objects in scenes should be ideal diffuse, or the weather condition should be overcast or sunshine. During decomposition, we first detect shadowed pixels by analyzing the time-lapse curve of each pixel through k-means clustering, the basis images of sunlight and skylight are then solved by an iterative procedure with the decomposition equation. The basis images are further optimized by exploiting their constraints and priors. Experimental results demonstrate the effectiveness and flexibility of the proposed method. Our method can also be applied in image understanding and compressing.