A technical introduction to digital video
A technical introduction to digital video
A low distortion map between disk and square
Journal of Graphics Tools
Light field mapping: efficient representation and hardware rendering of surface light fields
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Clustered principal components for precomputed radiance transfer
ACM SIGGRAPH 2003 Papers
k-means++: the advantages of careful seeding
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Compression of facial images using the K-SVD algorithm
Journal of Visual Communication and Image Representation
IEEE Transactions on Image Processing
HDR light probe sequence resampling for realtime incident light field rendering
Proceedings of the 25th Spring Conference on Computer Graphics
Least squares quantization in PCM
IEEE Transactions on Information Theory
Free form incident light fields
EGSR'08 Proceedings of the Nineteenth Eurographics conference on Rendering
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We present an algorithm for compression and real-time rendering of surface light fields (SLF) encoding the visual appearance of objects in static scenes with high frequency variations. We apply a non-local clustering in order to exploit spatial coherence in the SLF data. To efficiently encode the data in each cluster, we introduce a learning based approach, Clustered Exemplar Orthogonal Bases (CEOB), which trains a compact dictionary of orthogonal basis pairs, enabling efficient sparse projection of the SLF data. In addition, we discuss the application of the traditional Clustered Principal Component Analysis (CPCA) on SLF data, and show that in most cases, CEOB outperforms CPCA, K-SVD and spherical harmonics in terms of memory footprint, rendering performance and reconstruction quality. Our method enables efficient reconstruction and real-time rendering of scenes with complex materials and light sources, not possible to render in real-time using previous methods.