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Proceedings Paper

Textures from stereo-based IR imaging for industrial tire inspection
Author(s): Linda Ann Gee; Anne-Claire Legrand; Fabrice Meriaudeau; Christophe Dumont; Mongi A. Abidi
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Paper Abstract

A conceptual system to produce 3D thermal models of tires for tire inspection and defect characterization is proposed. The system uses registered range and thermal information to build highly detailed 3D models using either a volumetric or mech-based approach. To achieve this goal, two narrow bandpass filters are used in conjunction with two IR cameras to obtain the true temperature of the target body. The thermal information is then translated to texture data and mapped as an overlay onto a 3D model. The textures are realizable through the use of three-component texture maps that include rgb values to specify the texture coordinates in the plane. The objective is to generate a movie loop depicting a tire endurance test so that an operator may analyze potential tire defects through texture characteristics that appear as a thermal signature changing dynamically with time.

Paper Details

Date Published: 4 August 2000
PDF: 10 pages
Proc. SPIE 4052, Signal Processing, Sensor Fusion, and Target Recognition IX, (4 August 2000); doi: 10.1117/12.395089
Show Author Affiliations
Linda Ann Gee, Univ. of Tennessee/Knoxville (United States)
Anne-Claire Legrand, Univ. of Burgundy (France)
Fabrice Meriaudeau, Univ. of Burgundy (France)
Christophe Dumont, Univ. of Burgundy (United States)
Mongi A. Abidi, Univ. of Tennessee/Knoxville (United States)

Published in SPIE Proceedings Vol. 4052:
Signal Processing, Sensor Fusion, and Target Recognition IX
Ivan Kadar, Editor(s)

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