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Proceedings Paper

An adaptive edge detection filter for light stripe projection (LSP) in surface reconstruction
Author(s): Samuel H. Chang; Hongli Deng; Joe Fuller; Ali Farsaie; Les Elkins
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Paper Abstract

The problem of using light stripe projection (LSP) for reconstructing the 3D surface of several objects positioned at different distances from the camera is addressed in this paper. It is shown using LSP for 3D surface reconstruction of objects at different depths can be significantly improved if adaptive edge detection filter is added. The filter is designed as a local dynamic hysteresis thresholding value generator. It adapts knowledge of the wavelet coefficients in a small neighborhood on the row profile and generates the local hysteresis threshold values to detect a meaningful and useful edge. It is then shown how the filter may be designed to recover missing LSP features by using common edge detection technique and how it increases the accuracy and reliability of 3D surface reconstruction. The adaptive edge detection filter is illustrated by the presentation of experimental results obtained using the methods described in the paper. A test outlines the differences between LSP edges detected with the adaptive edge detection filter and edges detected without the filter.

Paper Details

Date Published: 16 April 2004
PDF: 8 pages
Proc. SPIE 5302, Three-Dimensional Image Capture and Applications VI, (16 April 2004); doi: 10.1117/12.524532
Show Author Affiliations
Samuel H. Chang, Spatial Integrated Systems, Inc. (United States)
Hongli Deng, Spatial Integrated Systems, Inc. (United States)
Joe Fuller, Spatial Integrated Systems, Inc. (United States)
Ali Farsaie, Spatial Integrated Systems, Inc. (United States)
Les Elkins, Spatial Integrated Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 5302:
Three-Dimensional Image Capture and Applications VI
Brian D. Corner; Peng Li; Roy P. Pargas, Editor(s)

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