BIOMEDICAL IMAGING GROUP (BIG)
Laboratoire d'imagerie biomédicale (LIB)

Texture Mapping by Successive Refinement

S. Horbelt, P. Thévenaz, M. Unser

Proceedings of the 2000 Seventh IEEE International Conference on Image Processing (ICIP'00), Vancouver BC, Canada, September 10-13, 2000, vol. II, pp. 307–310.

We define texture mapping as an optimization problem for which the goal of preserving the maximum amount of information in the mapped texture. We derive a solution that is optimal in the least-squares sense and that corresponds to the pseudo-inverse of a reverse transformation mapping. In practice, a first order approximation of the least-squares solution is used as an initial estimate for the mapped texture. This initial solution is refined by successive approximation to yield the least-squares optimal result. In essence, the proposed multi-pass method acts like an adaptive anti-aliasing filter. 

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