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SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
QuickTime VR: an image-based approach to virtual environment navigation
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Optimally combining sampling techniques for Monte Carlo rendering
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Sampling with Hammersley and Halton points
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Rendering with concentric mosaics
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3D RGB image compression for interactive applications
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Frequency space environment map rendering
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Fast, arbitrary BRDF shading for low-frequency lighting using spherical harmonics
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Interactive Relighting of Panoramas
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Image-based Rendering with Controllable Illumination
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Clustered principal components for precomputed radiance transfer
ACM SIGGRAPH 2003 Papers
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A spherical basis function neural network for modeling auditory space
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Regularization in the selection of radial basis function centers
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The plenoptic illumination function
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Video encoder architecture for MPEG2 real time encoding
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An RBF-based compression method for image-based relighting
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Data compression for light-field rendering
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Spherical Q2-tree for sampling dynamic environment sequences
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An illumination adjustable image (IAI) contains a large number of pre-recorded reference images under various lighting directions. It describes the appearance of a scene illuminated under various lighting directions. Synthesized images about the scene illuminated by complicated lighting conditions are generated from those reference images. This paper presents practical and real-time rendering methods for IAIs based on spherical Gaussian kernel functions (SGKFs). The lighting property of an IAI is represented by a few number of lightmaps. With those lightmaps, we can use consumer-level graphics processing units (GPUs) to perform the rendering process. The rendering methods for directional light source, point light source and slide projector are discussed. Compared with the conventional spherical harmonic (SH) approach, the proposed SGKF approach offers similar distortion performance but it consumes less graphics memory and has a faster rendering speed.