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Updated: Aug 25, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging
Published on: March 6, 2013
Calibration of a Catadioptric System and 3D Reconstruction Based on Surface Structured Light
Zhenghai Lu1, Yaowen Lv1, Zhiqing Ai1
1School of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
This study presents a novel 3D reconstruction system using a catadioptric camera and projector, overcoming field-of-view limitations. The system achieves high geometric accuracy, with experimental results showing minimal reconstruction error for 3D object measurement.
Area of Science:
- Computer Vision
- Optical Engineering
- Metrology
Background:
- Traditional 3D reconstruction methods often suffer from limited fields of view, hindering comprehensive scene capture.
- Catadioptric cameras offer a wider field of view but require complex calibration for accurate 3D reconstruction.
- Integrating projectors with cameras is crucial for structured light-based 3D measurement systems.
Purpose of the Study:
- To develop and validate a 3D reconstruction system that addresses the field-of-view limitations inherent in traditional methods.
- To establish a robust calibration procedure for a combined catadioptric camera and projector system.
- To achieve high geometric reconstruction accuracy for 3D objects using structured light.
Main Methods:
- A catadioptric camera and projector system was designed, incorporating a traditional camera for calibration.
- Intrinsic parameters of both the catadioptric camera and the traditional camera were calibrated independently.
- A coordinate system was established to determine the relative positions of the catadioptric camera and projector, enabling system calibration.
- Structured light fringes were projected and captured by the catadioptric camera for 3D reconstruction.
Main Results:
- The proposed calibration method accurately determined the intrinsic parameters and spatial relationship between the camera and projector.
- Experimental validation on a 1-meter target yielded a reconstruction error of 0.75 mm and a relative error of 0.0068.
- The system demonstrated its capability for precise 3D geometric reconstruction.
Conclusions:
- The developed calibration and 3D reconstruction methods effectively overcome the field-of-view limitations of traditional systems.
- The proposed system guarantees ideal geometric reconstruction accuracy, making it suitable for precise 3D measurements.
- This approach offers a viable solution for applications requiring wide-angle, high-accuracy 3D reconstruction.
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