Title :
Extracting the shape and roughness of specular lobe objects using four light photometric stereo
Author :
Solomon, Fredric ; Ikeuchi, Katsushi
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
4/1/1996 12:00:00 AM
Abstract :
We propose a noncontact method for the measurement of surface shape and surface roughness. The method, which we call “four light photometric stereo”, uses four lights, which sequentially illuminate the object under inspection, and a video camera for taking images of the object. The method has successfully been applied to a number of real objects
Keywords :
automatic optical inspection; computer vision; feature extraction; image segmentation; image texture; lighting; photometry; stereo image processing; surface topography measurement; Torrance-Sparrow model; four light photometric stereo; illumination; part inspection; segmentation; shape extraction; specular lobe objects; surface roughness; surface shape measurement; video camera; Brain modeling; Cameras; Inspection; Photometry; Reflectivity; Rough surfaces; Shape measurement; Stereo vision; Surface fitting; Surface roughness;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
