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

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2 Author(s)
Galasso, F. ; Univ. of Cambridge, Cambridge, UK ; Lasenby, J.

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.

Published in:

Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on

Date of Conference:

20-25 June 2009