An Error Estimation System for Close-Range Photogrammetric Systems and Algorithms

Area of Science:

• Metrology
• Photogrammetry
• Optical Measurement

Background:

• Close-range photogrammetry is crucial for non-contact 3D surface measurements.
• Accurate estimation of photogrammetric measurement error is challenging using theoretical or modeling approaches.
• Existing methods often fail to account for all factors influencing measurement accuracy.

Purpose of the Study:

• To propose and validate a physical modeling approach for accurate photogrammetric error estimation.
• To develop a laboratory system for evaluating close-range photogrammetry systems.
• To compare measurement results with a high-accuracy reference method under controlled conditions.

Main Methods:

• Developed a laboratory system for physical modeling of photogrammetric error.
• Utilized a flexible surface as a test object with varying shapes.
• Employed phasogrammetry as the reference measurement method for comparison.
• Experimentally evaluated the error of the reference method.

Main Results:

• The physical modeling technique allowed for error estimation under controlled conditions.
• Testing on a flexible surface provided insights into measurement accuracy across diverse shapes.
• The proposed method revealed error dependencies not detectable by standard approaches.
• Experimental validation confirmed the effectiveness of the developed system and technique.

Conclusions:

• Physical modeling provides a more robust method for photogrammetric error assessment.
• The developed laboratory system and technique are effective for evaluating photogrammetric systems.
• This approach enhances the understanding of measurement uncertainties in photogrammetry, especially for complex surfaces.