A single lens with no moving parts for rapid high-resolution 3D image capture

Dan Gray; Hongquiang Chen; Joseph Czechowski; Kang Zhang; Jilin Tu; Frederick Wheeler; Masako Yamada; Juan Pablo Cilia; Russell DeMuth; Esmaeil Heidari; Gil Abramovich; Kevin Harding

doi:10.1117/12.2001449

19 February 2013 A single lens with no moving parts for rapid high-resolution 3D image capture

Dan Gray, Hongquiang Chen, Joseph Czechowski, Kang Zhang, Jilin Tu, Frederick Wheeler, Masako Yamada, Juan Pablo Cilia, Russell DeMuth, Esmaeil Heidari, Gil Abramovich, Kevin Harding

Author Affiliations +

Proceedings Volume 8659, Sensors, Cameras, and Systems for Industrial and Scientific Applications XIV; 86590N (2013) https://doi.org/10.1117/12.2001449
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

There are many visual inspection and sensing applications where both a high resolution image and a depth-map of the imaged object are desirable at high speed. Presently available methods to capture 3D data (stereo cameras and structured illumination), are limited in speed, complexity, and transverse resolution. Additionally these techniques rely on a separated baseline for triangulation, precluding use in confined spaces. Typically, off the shelf lenses are implemented where performance in resolution, field-of-view, and depth of field are sacrificed in order to achieve a useful balance. Here we present a novel lens system with high-resolution and wide field-of-view for rapid 3D image capture. The design achieves this using a single lens with no moving parts. A depth-from-defocus algorithm is implemented to reconstruct 3D object point clouds and matched with a fused image to create a 3D rendered view.

Citation Download Citation

Dan Gray, Hongquiang Chen, Joseph Czechowski, Kang Zhang, Jilin Tu, Frederick Wheeler, Masako Yamada, Juan Pablo Cilia, Russell DeMuth, Esmaeil Heidari, Gil Abramovich, and Kevin Harding "A single lens with no moving parts for rapid high-resolution 3D image capture ", Proc. SPIE 8659, Sensors, Cameras, and Systems for Industrial and Scientific Applications XIV, 86590N (19 February 2013); https://doi.org/10.1117/12.2001449

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