BTF Compression via Sparse Tensor Decomposition

@article{Ruiters2009BTFCV,
  title={BTF Compression via Sparse Tensor Decomposition},
  author={Roland Ruiters and Reinhard Klein},
  journal={Comput. Graph. Forum},
  year={2009},
  volume={28},
  pages={1181-1188}
}
In this paper, we present a novel compression technique for Bidirectional Texture Functions based on a sparse tensor decomposition. We apply the K-SVD algorithm along two different modes of a tensor to decompose it into a small dictionary and two sparse tensors. This representation is very compact, allowing for considerably better compression ratios at the same RMS error than possible with current compression techniques like PCA, N-mode SVD and Per Cluster Factorization. In contrast to other… CONTINUE READING
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