Method for large-scale structured-light system calibration
| Autor: | Raul Vargas, Andrés G. Marrugo, Lenny A. Romero, Song Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Polynomial
Polynomial functions Scale (ratio) Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Iterative reconstruction Extrinsic parameter Pixels 01 natural sciences 010309 optics Optics Stereo calibration 0103 physical sciences Structured light systems Calibration Calibration method Intrinsic parameters LEMB Pixel business.industry Low-order polynomials 3D reconstruction Calibration targets Astrophysics::Instrumentation and Methods for Astrophysics 021001 nanoscience & nanotechnology Atomic and Molecular Physics and Optics Image reconstruction 0210 nano-technology business Algorithm Camera resectioning Structured light |
| Zdroj: | Optics Express Vol. 29, No. 11 / 24 May 2021 Repositorio Institucional UTB Universidad Tecnológica de Bolívar instacron:Universidad Tecnológica de Bolívar |
| Popis: | We propose a multi-stage calibration method for increasing the overall accuracy of a large-scale structured light system by leveraging the conventional stereo calibration approach using a pinhole model. We first calibrate the intrinsic parameters at a near distance and then the extrinsic parameters with a low-cost large-calibration target at the designed measurement distance. Finally, we estimate pixel-wise errors from standard stereo 3D reconstructions and determine the pixel-wise phase-to-coordinate relationships using low-order polynomials. The calibrated pixel-wise polynomial functions can be used for 3D reconstruction for a given pixel phase value. We experimentally demonstrated that our proposed method achieves high accuracy for a large volume: sub-millimeter within 1200(H) × 800 (V) × 1000(D) mm3. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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