Paper
17 June 2009 3D reconstruction by polarimetric imaging method based on perspective model
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Abstract
Classical 3D inspection systems require users to coat transparent objects before measurement. Experimental techniques via non contact measurement, suggested in literature, do not treat inter reflections. The aim of our work is to develop a non contact 3D measurement system for transparent objects by using a polarimetric imaging method in far infrared range. The classical approach relies on the use of orthographic model generated by a telecentric lens in practical setup. However telecentric lenses working in far infrared range are not available. Therefore, we have to adapt pinhole model corresponding to non-telecentric lenses for shape from polarization. In this paper we introduce a 3D reconstruction method to exploit polarimetric imaging with perspective model. We also propose two mathematical approaches in order to reduce reconstruction error: data analysis method to better estimate Stokes parameters and a validation method after Stokes parameters estimation. These techniques are applicable irrespective of the nature of the selected model and any linear system resolution.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rindra Rantoson, Christophe Stolz, David Fofi, and Fabrice Mériaudeau "3D reconstruction by polarimetric imaging method based on perspective model", Proc. SPIE 7389, Optical Measurement Systems for Industrial Inspection VI, 73890C (17 June 2009); https://doi.org/10.1117/12.827582
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Cited by 8 scholarly publications.
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KEYWORDS
3D modeling

Optical spheres

Polarimetry

Imaging systems

Polarization

Error analysis

Mathematical modeling

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