Fourier analysis and Gabor filtering for texture analysis and local reconstruction of general shapes

Abstract

Since the pioneering work of Gibson in 1950, Shape-From-Texture has been considered by researchers as a hard problem, mainly due to restrictive assumptions which often limit its applicability. We assume a very general stochastic homogeneity and perspective camera model, for both deterministic and stochastic textures. A multi-scale distortion is efficiently estimated with a previously presented method based on Fourier analysis and Gabor filters. The novel 3D reconstruction method that we propose applies to general shapes, and includes non-developable and extensive surfaces. Our algorithm is accurate, robust and compares favorably to the present state of the art of Shape-From-Texture. Results show its application to non-invasively study shape changes with laid-on textures, while rendering and re-texturing of cloth is suggested for future work.

DOI: 10.1109/CVPRW.2009.5206591

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Cite this paper

@article{Galasso2009FourierAA, title={Fourier analysis and Gabor filtering for texture analysis and local reconstruction of general shapes}, author={Fabio Galasso and Joan Lasenby}, journal={2009 IEEE Conference on Computer Vision and Pattern Recognition}, year={2009}, pages={2342-2349} }