Related Experiment Video
Updated: May 10, 2026

11:34
High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
Published on: December 3, 2013
A testbed for wide-field, high-resolution, gigapixel-class cameras.
David S Kittle1, Daniel L Marks, Hui S Son
1Department of Electrical and Computer Engineering and Fitzpatrick Institute for Photonics, Box 90291, Duke University, Durham, North Carolina 27708, USA.
The Review of Scientific Instruments
|June 8, 2013
Summary
A new automated testbed precisely calibrates and evaluates the optical performance of Advanced Wide FOV Architectures for Image Reconstruction and Exploitation (AWARE) gigapixel cameras. This system ensures pixel-level accuracy for critical applications like image compositing and distortion correction.
Area of Science:
- Optical Engineering
- Image Reconstruction
- Gigapixel Imaging
Background:
- Gigapixel cameras like AWARE present unique calibration and testing challenges due to their high resolution and wide field of view.
- Accurate alignment and optical performance evaluation of micro-cameras are crucial for effective image compositing.
Purpose of the Study:
- To develop an automated testbed for calibrating and measuring the optical performance of the AWARE gigapixel camera array.
- To address the challenges in alignment, mechanical testing, and performance evaluation for wide FOV systems.
Main Methods:
- A novel testbed utilizing translation and rotation stages to direct a projected pattern into individual micro-cameras.
- Employing a spatial light modulator and telescope to create an infinite object space pattern.
- Implementing various targets for Modulation Transfer Function (MTF), fiducial mapping, distortion, illumination, thermal stability, and focus calibration.
Main Results:
- Successful calibration and optical performance measurements of the AWARE-2 gigapixel camera.
- Detailed results for MTF, focus, illumination profiles, and thermal stability.
- Fiducial mapping for registration and distortion correction across the micro-camera array.
Conclusions:
- The developed testbed effectively meets the calibration and testing demands of gigapixel imaging systems.
- The automated system ensures pixel-level accuracy essential for advanced image reconstruction and exploitation.

