Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction
International Journal of Computer Vision
Image-based relighting: representation and compression
Integrated image and graphics technologies
Data compression with spherical wavelets and wavelets for the image-based relighting
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
Noise-Resistant Fitting for Spherical Harmonics
IEEE Transactions on Visualization and Computer Graphics
Simultaneous estimation of super-resolved depth map and intensity field using photometric cue
Computer Vision and Image Understanding
Dense Photometric Stereo: A Markov Random Field Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
GPU-friendly rendering for illumination adjustable images
Image Communication
Simultaneous estimation of super-resolved depth map and intensity field using photometric cue
Computer Vision and Image Understanding
Panoramic video coding using affine motion compensated prediction
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Uniformly sampling multi-resolution analysis for image-based relighting
Journal of Visual Communication and Image Representation
Shadow removal in sole outdoor image
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
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Image-based modeling and rendering has been demonstrated as a cost-effective and efficient approach to virtual reality applications. The computational model that most image-based techniques are based on is the plenoptic function. Since the original formulation of the plenoptic function does not include illumination, most previous image-based virtual reality applications simply assume that the illumination is fixed. We propose a formulation of the plenoptic function, called the plenoptic illumination function, which explicitly specifies the illumination component. Techniques based on this new formulation can be extended to support relighting as well as view interpolation. To relight images with various illumination configurations, we also propose a local illumination model, which utilizes the rules of image superposition. We demonstrate how this new formulation can be applied to extend two existing image-based representations, panorama representation such as QuickTime VR and two-plane parameterization, to support relighting with trivial modifications. The core of this framework is compression, and we therefore show how to exploit two types of data correlation, the intra-pixel and the inter-pixel correlations, in order to achieve a manageable storage size.