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Proceedings Paper

Automated modified composite pattern single image depth acquisition
Author(s): Charles Casey; Laurence G. Hassebrook
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Paper Abstract

The use of structured light illumination techniques for three-dimensional data acquisition is, in many cases, limited to stationary subjects due to the multiple pattern projections needed for depth analysis. Traditional Composite Pattern (CP) multiplexing utilizes sinusoidal modulation of individual projection patterns to allow numerous patterns to be combined into a single image. However, due to demodulation artifacts, it is often difficult to accurately recover the subject surface contour information. On the other hand, if one were to project an image consisting of many thin, identical stripes onto the surface, one could, by isolating each stripe center, recreate a very accurate representation of surface contour. But in this case, recovery of depth information via triangulation would be quite difficult. The method described herein, Modified Composite Pattern (MCP), is a conjunction of these two concepts. Combining a traditional Composite Pattern multiplexed projection image with a pattern of thin stripes allows for accurate surface representation combined with nonambiguous identification of projection pattern elements. In this way, it is possible to recover surface depth characteristics using only a single structured light projection. The technique described utilizes a binary structured light projection sequence (consisting of four unique images) modulated according to Composite Pattern methodology. A stripe pattern overlay is then applied to the pattern. Upon projection and imaging of the subject surface, the stripe pattern is isolated, and the composite pattern information demodulated and recovered, allowing for 3D surface representation. Additionally, we introduce techniques which, when implemented, allow fully automated processing of the Modified Composite Pattern image.

Paper Details

Date Published: 19 May 2011
PDF: 13 pages
Proc. SPIE 8043, Three-Dimensional Imaging, Visualization, and Display 2011, 80430H (19 May 2011); doi: 10.1117/12.881972
Show Author Affiliations
Charles Casey, Univ. of Kentucky (United States)
Laurence G. Hassebrook, Univ. of Kentucky (United States)

Published in SPIE Proceedings Vol. 8043:
Three-Dimensional Imaging, Visualization, and Display 2011
Bahram Javidi; Jung-Young Son, Editor(s)

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