Plenoptic modeling: an image-based rendering system
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Rendering with concentric mosaics
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Interactive rendering of wavelet projected light fields
Proceedings of the 1999 conference on Graphics interface '99
Spatially-encoded far-field representations for interactive walkthroughs
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Light field mapping: efficient representation and hardware rendering of surface light fields
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Compression of Lumigraph with Multiple Reference Frame (MRF) Prediction and Just-in-Time Rendering
DCC '00 Proceedings of the Conference on Data Compression
Rendering of spherical light fields
PG '97 Proceedings of the 5th Pacific Conference on Computer Graphics and Applications
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Light Fields and Lumigraphs represent 4D parameterizations of the plenoptic function. Given the large amount of data and the nature of such representations, there are two main requirements for the effective processing of light fields. The light field data must be compressed efficiently for storage or communication purposes. Also, the coded light field representation should provide random access to the data for rendering purposes. Various techniques have been proposed to enable a more efficient representation and coding of the data, such as using vector quantization and Lempel-Ziv entropy coding of data, JPEG coding, or extensions of predictive coding schemes. Predictive coding provides very good compression efficiency but also introduces referencing-related dependencies in the coded data that hinder the data access required for view synthesis. In this paper, we present a new approach for representing and coding Light Field data by using a statistical representation based on Principal Components Analysis. The proposed approach offers an efficient representation and coding in the rate-distortion sense, enables random access to pixels in the images containing information required for virtual view synthesis, and provides straightforward scalability.