Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo

Abstract

Two important aspects of part inspection are the measurement or surface shape and surface roughness. A noncontact method is proposed for measuring surface shape and surface roughness. The method, 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. Conceptually, the problem solving has three parts: shape extraction, pixel segmentation, and roughness extraction. The shape information is produced directly by three light and four light photometric stereo methods. After one has shape information, we can apply statistical segmentation techniques to determine which pixels are specular and which are nonspecular. Then, one can use the specular pixels and shape information, in conjugation with the simplified Torrance-Sparrow reflectance model to determine the surface roughness. The method has successfully been applied to a number of synthetic and real objects.

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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 1991
Accession Number
ADA243522

Entities

People

  • Fredric Solomon
  • Katsushi Ikeuchi

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Algorithms
  • Angle Of Incidence
  • Artificial Intelligence
  • Brightness
  • Computer Vision
  • Extraction
  • Geometry
  • Intensity
  • Light Sources
  • Materials
  • Reflectance
  • Roughness
  • Specular Reflection
  • Surface Roughness
  • Three Dimensional

Readers

  • Computer Vision.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering