The Rayset and its applications
GRIN'01 No description on Graphics interface 2001
Relighting with 4D incident light fields
ACM SIGGRAPH 2003 Papers
An introduction to image-based rendering
Integrated image and graphics technologies
Representation and coding of light field data
Graphical Models
Towards space: time light field rendering
Proceedings of the 2005 symposium on Interactive 3D graphics and games
Light field compression using disparity-compensated lifting
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Capturing spherical light fields of a real scene
SIGGRAPH '04 ACM SIGGRAPH 2004 Posters
Space-Time Light Field Rendering
IEEE Transactions on Visualization and Computer Graphics
Foundations and Trends® in Computer Graphics and Vision
The wavelet stream: interactive multi resolution light field rendering
EGWR'01 Proceedings of the 12th Eurographics conference on Rendering
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A plenoptic function is a parameterized function describing the flow of light in space, and has served as a key idea in building some of the recent image based rendering systems. The paper presents a new representation scheme, called a spherical light field, of the plenoptic function, that is based on spheres. While methods using spherical coordinates are thought to require substantially more computation than those using planar or cylindrical coordinates, we show that spheres can also be used efficiently in representing and resampling the flow of light. Our image based rendering algorithm is different from the previous systems, the light field and lumigraph, in that it is an "object space" algorithm that can be easily embedded into the traditional polygonal rendering system. Our method is easily accelerated by 3D graphics boards that support the primitive functionality, such as viewing and smooth shading. In addition, we introduce an encoding scheme based on wavelets for compression of the huge data resulting from sampling of the spherical light field. The proposed technique can be easily adapted to compress the light field and lumigraph data, and offers as high compression ratios as the previous methods. Furthermore, it naturally creates a multi resolutional representation of the light flow that can be exploited effectively in the future applications. We show how to access the compressed data efficiently using a modified significance map and an incremental decoding technique, and report experimental results on several test data sets.