An overview of flexible sensing integral imaging for three-dimensional profilometric reconstruction with occlusion removal

Xin Shen; Adam Markman; Bahram Javidi

doi:10.1117/12.2305505

15 May 2018 An overview of flexible sensing integral imaging for three-dimensional profilometric reconstruction with occlusion removal

Xin Shen, Adam Markman, Bahram Javidi

Author Affiliations +

Proceedings Volume 10666, Three-Dimensional Imaging, Visualization, and Display 2018; 1066618 (2018) https://doi.org/10.1117/12.2305505
Event: SPIE Commercial + Scientific Sensing and Imaging, 2018, Orlando, FL, United States

Abstract

We overview a previously reported method for three-dimensional (3D) profilometric reconstruction with occlusion removal based on flexible sensing integral imaging. With flexible sensing, the field-of-view of the image system can be increased by randomly distributing a camera array on a non-planar surface. The camera matrices are estimated using the captured multi-perspective elemental images, and the estimated matrices are used for 3D reconstruction. Object recognition is then implemented on the reconstructed image by nonlinear correlation to detect the 3D position of the object. Finally, an algorithm is proposed to visualize the 3D profile of the object with occlusion removal.

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Xin Shen, Adam Markman, and Bahram Javidi "An overview of flexible sensing integral imaging for three-dimensional profilometric reconstruction with occlusion removal ", Proc. SPIE 10666, Three-Dimensional Imaging, Visualization, and Display 2018, 1066618 (15 May 2018); https://doi.org/10.1117/12.2305505

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