Abstract

We present to the best of our knowledge the first report on three-dimensional (3D) integral imaging capture and reconstruction method with unknown poses of sensors placed on a flexible surface. Compared to a conventional integral imaging system, where a lenslet or sensor array is commonly located on a planar surface, the flexible sensing integral imaging system allows sensors to be placed on a nonplanar surface that can increase the field of view of the 3D imaging system. To obtain the poses of the sensor array on a flexible surface, an estimation algorithm is developed based on two-view geometry theory and the camera projective model. In addition, a super-resolution image is generated from a sequence of low-resolution 2D images with sub-pixel shifts. Super-resolution 3D reconstruction results at different depths are presented to validate the proposed approach.

© 2014 Optical Society of America

Three-dimensional profilometric reconstruction using flexible sensing integral imaging and occlusion removal

Xin Shen, Adam Markman, and Bahram Javidi
Appl. Opt. 56(9) D151-D157 (2017)

Three-dimensional imaging with detector arrays on arbitrarily shaped surfaces

Mehdi Daneshpanah and Bahram Javidi
Opt. Lett. 36(5) 600-602 (2011)

Three-dimensional image sensing and reconstruction with time-division multiplexed computational integral imaging

Adrian Stern and Bahram Javidi
Appl. Opt. 42(35) 7036-7042 (2003)

Three-dimensional integral imaging with improved visualization using subpixel optical ray sensing

Donghak Shin and Bahram Javidi
Opt. Lett. 37(11) 2130-2132 (2012)

Integral imaging techniques for flexible sensing through image-based reprojection

Jose M. Sotoca, Pedro Latorre-Carmona, Filiberto Pla, Xin Shen, Satoru Komatsu, and Bahram Javidi
J. Opt. Soc. Am. A 34(10) 1776-1786 (2017)