Abstract

In this paper we propose an axially distributed image-sensing method with a wide-angle lens to capture the wide-area scene of 3D objects. A lot of parallax information can be collected by translating the wide-angle camera along the optical axis. The recorded wide-area elemental images are calibrated using compensation of radial distortion. With these images we generate volumetric slice images using a computational reconstruction algorithm based on ray back-projection. To show the feasibility of the proposed method, we performed optical experiments for visualization of a partially occluded 3D object.

© 2014 Optical Society of Korea

Three-dimensional imaging and visualization of partially occluded objects using axially distributed stereo image sensing

Donghak Shin and Bahram Javidi
Opt. Lett. 37(9) 1394-1396 (2012)

Distortion-free wide-angle 3D imaging and visualization using off-axially distributed image sensing

Miao Zhang, Yongri Piao, Nam-Woo Kim, and Eun-Soo Kim
Opt. Lett. 39(14) 4212-4214 (2014)

Depth extraction of 3D objects using axially distributed image sensing

Suk-Pyo Hong, Donghak Shin, Byung-Gook Lee, and Eun-Soo Kim
Opt. Express 20(21) 23044-23052 (2012)

Distortion-tolerant 3D recognition of occluded objects using computational integral imaging

Seung-Hyun Hong and Bahram Javidi
Opt. Express 14(25) 12085-12095 (2006)

3D integral imaging depth estimation of partially occluded objects using mutual information and Bayesian optimization

Pranav Wani and Bahram Javidi
Opt. Express 31(14) 22863-22884 (2023)