Title :
Determining shape and reflectance of hybrid surfaces by photometric sampling
Author :
Nayar, Shree K. ; Ikeuchi, Katsushi ; Kanade, Takeo
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
8/1/1990 12:00:00 AM
Abstract :
A method is presented for determining the shapes of hybrid surfaces without prior knowledge of the relative strengths of the Lambertian and specular components of reflection. The object surface is illuminated using extended light sources and is viewed from a single direction. Surface illumination using extended sources makes it possible to ensure the detection of both Lambertian and specular reflections. Uniformly distributed source directions are used to obtain an image sequence of the object. This method of obtaining photometric measurements is called photometric sampling. An extraction algorithm uses the set of image intensity values measured at each surface point to compute orientation as well as relative strengths of the Lambertian and specular reflection components. The simultaneous recovery of shape and reflectance parameters enables the method to adapt to variations in reflectance properties from one scene point to another. Experiments were conducted on Lambertian surfaces, specular surfaces, and hybrid surfaces
Keywords :
computerised pattern recognition; computerised picture processing; optical information processing; parameter estimation; Lambertian surfaces; extraction algorithm; hybrid surfaces; image sequence; photometric sampling; reflectance; shape determination; specular reflection; Acoustic reflection; Machine vision; Optical reflection; Photometry; Reflectivity; Robots; Rough surfaces; Sampling methods; Shape; Surface roughness;
Journal_Title :
Robotics and Automation, IEEE Transactions on