Accurate calibration method for camera and projector in fringe patterns measurement system

Area of Science:

• Optics and Photonics
• Computer Vision
• Metrology

Background:

• 3D measurement systems using fringe patterns are vital across various industries.
• Measurement accuracy heavily relies on precise camera and projector calibration.
• Current calibration methods often use traditional algorithms with dot calibration boards, limiting accuracy.

Purpose of the Study:

• To propose an improved calibration method for 3D fringe projection systems.
• To simultaneously enhance the calibration accuracy of both cameras and projectors.
• To achieve higher overall 3D measurement accuracy.

Main Methods:

• Developed a subpixel edge detection method for improved reference feature detection in coarse calibration.
• Implemented an iterative compensation algorithm to refine reference feature center detection for fine calibration.
• Utilized a dot calibration board with enhanced image processing techniques.

Main Results:

• The proposed subpixel edge detection significantly improved coarse calibration accuracy.
• The iterative compensation algorithm enhanced the precision of reference feature center localization.
• Experimental validation confirmed improved system calibration and subsequent 3D measurement accuracy.

Conclusions:

• The novel calibration method effectively increases camera and projector calibration accuracy.
• This leads to a demonstrable improvement in the overall accuracy of 3D measurements.
• The proposed approach offers a more precise and reliable calibration for fringe projection systems.