DocumentCode :
1120633
Title :
Error Analysis of Surface Normals Determined by Radiometry
Author :
Ray, Rajarshi ; Birk, John ; Kelley, Robert B.
Author_Institution :
Object Recognition Systems, Inc., Princeton, NJ 08540.
Issue :
6
fYear :
1983
Firstpage :
631
Lastpage :
645
Abstract :
Surface normals can be computed from three images of a workpiece taken under three distinct lighting conditions without requiring surface continuity. Radiometric methods are susceptible to systematic errors such as: errors in the measurement of light source orientations; mismatched light source irradiance; detector nonlinearity; the presence of specular reflection or shadows; the spatial and spectral distribution of incident light; surface size, material, and microstructure; and the length and properties of the light source to target path. Typically, a 1° error in surface orientation of a Lambertian workpiece is caused by a 1 percent change in image intensity due to variations in incident light intensity or a 1° change in orientation of a collimated light source. Tests on a white nylon sphere indicate that by using modest error prevention and calibration schemes, surface angles off the camera axis can be computed within 5°, except at edge pixels. Equations for the sensitivity of surface normals to major error sources have been derived. Results of surface normal estimation and edge extraction experiments on various non-Lambertian and textured workpieces are also presented.
Keywords :
Calibration; Error analysis; Length measurement; Light sources; Microstructure; Optical collimators; Optical reflection; Radiometry; Size measurement; Testing; Computer vision; Lambertian reflectance; edge extraction; needle diagram; photometric stereo; radiometric stereo; reflectance mapping; sensitivity analysis; surface orientation;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1983.4767454
Filename :
4767454
Link To Document :
بازگشت