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Proceedings Paper

Automatic light-source placement for detecting object features
Author(s): Cregg K. Cowan; Bharath Modayur; Jeff L. DeCurtins
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Paper Abstract

The selection and placement of cameras and light sources for a specific task (e.g., locating a part in a tray or inspecting an object) is one of the most important steps in creating a successful vision system, because obtaining high-quality images can greatly simplify the vision algorithms and improve their reliability. We will describe techniques that use a visual task description stated in terms of features to be detected, and derive a range of light-source locations that satisfy the task requirements. In particular, given a task description that specifies particular object edges to be detected with a given edge detector (e.g., a Sobel edge operator), our techniques determine the constraints on light-source location such that the edge is detected.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods, (1 November 1992); doi: 10.1117/12.131617
Show Author Affiliations
Cregg K. Cowan, SRI International (United States)
Bharath Modayur, SRI International (United States)
Jeff L. DeCurtins, SRI International (United States)

Published in SPIE Proceedings Vol. 1826:
Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods
David P. Casasent, Editor(s)

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