Relief reconstruction of rough-textured surface through image analysis

Anis Benslimane; Jacques Brochard; Vincent Legeay; Min-Tan Do

doi:10.1117/12.474044

22 May 2003 Relief reconstruction of rough-textured surface through image analysis

Anis Benslimane, Jacques Brochard, Vincent Legeay, Min-Tan Do

Proceedings Volume 5011, Machine Vision Applications in Industrial Inspection XI; (2003) https://doi.org/10.1117/12.474044
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

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.

Citation Download Citation

Anis Benslimane, Jacques Brochard, Vincent Legeay, and Min-Tan Do "Relief reconstruction of rough-textured surface through image analysis", Proc. SPIE 5011, Machine Vision Applications in Industrial Inspection XI, (22 May 2003); https://doi.org/10.1117/12.474044

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