This paper shows how the apparatus of robust statistics can be used to extract consistent estimates of surface orientation using shape-from-texture. We make initial estimates of surface orientation by measuring the affine distortion of neighbouring spectral peaks. We show how the initial orientation estimates can be refined using a process of robust smoothing and subsequently used for reliable curvature estimation. We apply the method to a variety of real-world and synthetic imagery. Here it is demonstrated to provide useful estimates of curvature. © Springer-Verlag Berlin Heidelberg 2000.
CITATION STYLE
Ribeiro, E., & Hancock, E. R. (2000). Curvature estimation using shape-from-texture. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1876 LNCS, pp. 327–336). Springer Verlag. https://doi.org/10.1007/3-540-44522-6_34
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