Title :
Surface normals and height from non-Lambertian image data
Author :
Ragheb, Hossein ; Hancock, Edwin R.
Author_Institution :
Dept. of Comput. Sci., York Univ., UK
Abstract :
It is well known that many surfaces exhibit reflectance that is not well modelled by Lambert´s law. This is the case not only for surfaces that are rough or shiny, but also those that are matte and composed of materials that are particle suspensions. As a result, standard Lambertian shape-from-shading methods cannot be applied directly to the analysis of rough and shiny surfaces. In order to overcome this difficulty, we consider how to reconstruct the Lambertian component for rough and shiny surfaces when the object is illuminated in the viewing direction. To do this we make use of the diffuse reflectance models described by Oren and Nayar, and by Wolff. Our experiments with synthetic and real-world data reveal the effectiveness of the correction method, leading to improved surface normal and height recovery.
Keywords :
computer vision; image reconstruction; lighting; realistic images; rough surfaces; solid modelling; surface fitting; surface reconstruction; Lambert law; nonLambertian image data; object illumination; particle suspensions; real-world data; rough surfaces; shiny surfaces; surface height recovery; surface normal recovery; surface reflectance modelling; synthetic data; Brightness; Computer science; Image reconstruction; Light scattering; Reflectivity; Rough surfaces; Surface reconstruction; Surface roughness; Surface topography; Suspensions;
Conference_Titel :
3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004. Proceedings. 2nd International Symposium on
Print_ISBN :
0-7695-2223-8
DOI :
10.1109/TDPVT.2004.1335136