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

Since the pioneering work of Gibson in 1950, ShapeFrom-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-FromTexture. 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.

• Type: Conference
• Year: 2009
• Where: CVPR
• Authors: Fabio Galasso, Joan Lasenby
• Keywords: Computer Vision, CVPR 2009, General Stochastic Homogeneity, Perspective Camera Model, Stochastic Textures