Improved methods of estimating shape from shading using the light source coordinate system
Artificial Intelligence
Adaptive filter theory
Shape from shading
Estimation of Illuminant Direction, Albedo, and Shape from Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object shape and reflectance modeling from observation
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Recovering photometric properties of architectural scenes from photographs
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
Acquiring the reflectance field of a human face
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
A signal-processing framework for inverse rendering
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
A Simple Strategy for Calibrating the Geometry of Light Sources
IEEE Transactions on Pattern Analysis and Machine Intelligence
Numerical Recipes in C: The Art of Scientific Computing
Numerical Recipes in C: The Art of Scientific Computing
Acquiring a Radiance Distribution to Superimpose Virtual Objects onto a Real Scene
IEEE Transactions on Visualization and Computer Graphics
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
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Coupled Lighting Direction and Shape Estimation from Single Images
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Interactive virtual relighting and remodeling of real scenes
EGWR'99 Proceedings of the 10th Eurographics conference on Rendering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mixture of Spherical Distributions for Single-View Relighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
A unified framework for scene illuminant estimation
Image and Vision Computing
Estimation of multiple directional illuminants from a single image
Image and Vision Computing
Recovering Light Directions and Camera Poses from a Single Sphere
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Rendering synthetic objects into legacy photographs
Proceedings of the 2011 SIGGRAPH Asia Conference
A realistic augmented reality racing game using a depth-sensing camera
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
Interactive rembrandt lighting design
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Basis image decomposition of outdoor time-lapse videos
The Visual Computer: International Journal of Computer Graphics
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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 real scene and produce correctly illuminated Augmented 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.