A Wiener filter approach to shape from shading

Oscar E. Castillo; Jorge L. Flores; Antonio Muñoz; Ricardo Legarda-Saenz

doi:10.1117/12.2274133

6 September 2017 A Wiener filter approach to shape from shading

Oscar E. Castillo, Jorge L. Flores, Antonio Muñoz, Ricardo Legarda-Saenz

Proceedings Volume 10410, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017; 104101D (2017) https://doi.org/10.1117/12.2274133
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

There are several algorithms to solve the shape from shading problem. Most of these algorithms rely on basic assumptions about the surface reflective properties, camera projection and location, and the light source distribution. In this paper, we implemented an algorithm based on a Wiener filter to obtain surface estimation from a single image. We tested the algorithm with images generated synthetically and also employing images from a real object. We were able to obtain the shape of objects with different geometries.

Citation Download Citation

Oscar E. Castillo, Jorge L. Flores, Antonio Muñoz, and Ricardo Legarda-Saenz "A Wiener filter approach to shape from shading", Proc. SPIE 10410, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017, 104101D (6 September 2017); https://doi.org/10.1117/12.2274133

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