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Proceedings Paper

Relief reconstruction of rough-textured surface through image analysis
Author(s): Anis Benslimane; Jacques Brochard; Vincent Legeay; Min-Tan Do
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Paper Abstract

In this study, we propose an original method for a 3D reconstruction of the relief of a textured rough surfaces. This 3D reconstruction is obtained through the elaboration of a photometric model, which takes into account camera and light source positions according to the plan of the rough surface. The proposed model expresses the gray level on the image according to the local relief variations. Three images of the same relief obtained under different angles of lighting are used to reconstruct the altitude map of the rough surface. The effectiveness of this method was checked by comparing the extracted relief to its corresponding relief obtained from a mechanical device method using autofocus laser sensor. This photometric model display good results in simulation experience and will be applied on real photographic images of road covering surface in order to study its wear level and its adherence.

Paper Details

Date Published: 22 May 2003
PDF: 8 pages
Proc. SPIE 5011, Machine Vision Applications in Industrial Inspection XI, (22 May 2003); doi: 10.1117/12.474044
Show Author Affiliations
Anis Benslimane, Univ. de Poitiers (France)
Jacques Brochard, Univ. de Poitiers (France)
Vincent Legeay, Lab. Central des Ponts et Chaussees (France)
Min-Tan Do, Lab. Central des Ponts et Chaussees (France)

Published in SPIE Proceedings Vol. 5011:
Machine Vision Applications in Industrial Inspection XI
Martin A. Hunt; Jeffery R. Price, Editor(s)

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