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Proceedings Paper

Passive long-wave infrared three-dimensional integral imaging for face detection and depth estimation: an overview
Author(s): Satoru Komatsu; Adam Markman; Abhijit Mahalanobis; Kenny Chen; Bahram Javidi
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Paper Abstract

We review our recently published work on a passive three-dimensional (3D) imaging technique known as integral imaging (II) using a long-wave infrared (LWIR) camera for face detection and depth estimation under low light conditions. Multiple two-dimensional images of a scene using a LWIR camera are taken, known as elemental images (EI), with each image having a different perspective of the scene. This information is combined to generate a 3D reconstruction of the scene. A 3D face detection algorithm is used on the 3D reconstructed scene to detect a face behind occlusion and estimate its depth. Experimental results validate the method of detecting a human face behind occlusion and estimating the depth.

Paper Details

Date Published: 10 May 2017
PDF: 4 pages
Proc. SPIE 10219, Three-Dimensional Imaging, Visualization, and Display 2017, 1021918 (10 May 2017); doi: 10.1117/12.2276286
Show Author Affiliations
Satoru Komatsu, Univ. of Connecticut (United States)
Adam Markman, Univ. of Connecticut (United States)
Abhijit Mahalanobis, Lockheed Martin Missiles and Fire Control (United States)
Kenny Chen, Lockheed Martin Missiles and Fire Control (United States)
Bahram Javidi, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 10219:
Three-Dimensional Imaging, Visualization, and Display 2017
Bahram Javidi; Jung-Young Son; Osamu Matoba, Editor(s)

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