Multiple-view 3D digital image correlation based on pseudo-overlapped imaging.

Area of Science:

• Optical Engineering
• Materials Science
• Experimental Mechanics

Background:

• Traditional optical instruments face limitations in simultaneous field of view (FOV) enlargement and spatial resolution increase.
• Fixed FOVs in conventional methods lead to low accuracy when analyzing small samples undergoing large motions or deformations.

Purpose of the Study:

• To investigate methods for overcoming the restrictions in FOV enlargement and spatial resolution enhancement for optical monitoring.
• To propose a novel multiple-view 3D digital image correlation (3D-DIC) method to improve optical monitoring capabilities.

Main Methods:

• A pseudo-overlapped imaging technique was developed using a set of optical components.
• This technique enables a single camera to image two FOVs, effectively creating four virtual cameras from one pair.
• The method leverages pseudo-overlapped imaging within a 3D-DIC framework.

Main Results:

• The proposed pseudo-overlapped imaging method successfully enlarges the FOV and increases spatial resolution by two times compared to conventional 3D-DIC systems.
• Each virtual camera generated by the system retains the full pixel count.
• Experimental validation confirmed the efficiency, accuracy, and feasibility of the technique.

Conclusions:

• The developed multiple-view 3D-DIC method with pseudo-overlapped imaging offers a significant advancement in optical monitoring.
• This technique effectively addresses the trade-off between FOV and spatial resolution, enabling more accurate analysis of challenging samples.
• The validated method provides a robust solution for applications requiring high-resolution monitoring over enlarged areas.