Equidistribution on the Sphere
SIAM Journal on Scientific Computing
Sampling with Hammersley and Halton points
Journal of Graphics Tools
Acquiring the reflectance field of a human face
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Surface light fields for 3D photography
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Eigen-Texture Method: Appearance Compression and Synthesis Based on a 3D Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image-based 3D photography using opacity hulls
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction
International Journal of Computer Vision
Image-based Rendering with Controllable Illumination
Proceedings of the Eurographics Workshop on Rendering Techniques '97
Image-based relighting: representation and compression
Integrated image and graphics technologies
ACM Transactions on Graphics (TOG)
Relighting human locomotion with flowed reflectance fields
ACM SIGGRAPH 2006 Sketches
An RBF-based compression method for image-based relighting
IEEE Transactions on Image Processing
Compression of illumination-adjustable images
IEEE Transactions on Circuits and Systems for Video Technology
Compressing the illumination-adjustable images with principal component analysis
IEEE Transactions on Circuits and Systems for Video Technology
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Image based Relighting(IBRL) has attracted a lot of interest in the computer graphics research, gaming, and virtual cinematography communities for its ability to relight objects or scenes, from novel illuminations captured in natural or synthetic environments. However, the advantages of an image-based framework conflicts with a drastic increase in the storage caused by the huge number of reference images pre-captured under various illumination conditions. To perform fast relighting, while maintaining the visual fidelity, one needs to preprocess this huge data into an appropriate model. In this paper, we propose a novel and efficient two-stage relighting algorithm which creates a compact representation of the huge IBRL dataset and facilitates fast relighting. In the first stage, using Singular Value Decomposition, a set of eigen image bases and relighting coefficients are computed. In the second stage, and in contrast to prior methods, the correlation among the relighting coefficients is harnessed using Spherical Harmonics. The proposed method thus has lower memory and computational requirements. We demonstrate our results qualitatively and quantitatively with new generated image data.