Passive long-wave infrared three-dimensional integral imaging for face detection and depth estimation: an overview

Satoru Komatsu; Adam Markman; Abhijit Mahalanobis; Kenny Chen; Bahram Javidi

doi:10.1117/12.2276286

10 May 2017 Passive long-wave infrared three-dimensional integral imaging for face detection and depth estimation: an overview

Satoru Komatsu, Adam Markman, Abhijit Mahalanobis, Kenny Chen, Bahram Javidi

Author Affiliations +

Proceedings Volume 10219, Three-Dimensional Imaging, Visualization, and Display 2017; 1021918 (2017) https://doi.org/10.1117/12.2276286
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

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.

Citation Download Citation

Satoru Komatsu, Adam Markman, Abhijit Mahalanobis, Kenny Chen, and Bahram Javidi "Passive long-wave infrared three-dimensional integral imaging for face detection and depth estimation: an overview", Proc. SPIE 10219, Three-Dimensional Imaging, Visualization, and Display 2017, 1021918 (10 May 2017); https://doi.org/10.1117/12.2276286

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