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

F. Galasso, J. Lasenby
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
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
more » ... hod 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 retexturing of cloth is suggested for future work. 978-1-4244-3991-1/09/$25.00 ©2009 IEEE
doi:10.1109/cvprw.2009.5206591 fatcat:txiecz25endqnojzomxrrfywlu