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

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 retexturing of cloth is suggested for future work. © 2009 IEEE.

ICTs, globalization and local diversity

This paper is based on a panel discussion at the 2002 International Conference on Information Systems in Barcelona. Three panellists responded to a set of questions on the meaning of the term globalization to them, and the role of information and communications technologies (ICTs) in globalization processes. The panellists also highlighted the importance of local diversity in understanding globalization and ICTs, drawing from their varied research in contexts such as western country financial markets, health systems in Guatemala, and e-commerce in Mexico. A further output of the panel, and this paper, is the identification of key research questions and theories for future IS research in this important area.