10 May 2017 Passive long-wave infrared three-dimensional integral imaging for face detection and depth estimation: an overview
Author Affiliations +
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Satoru Komatsu, Satoru Komatsu, Adam Markman, Adam Markman, Abhijit Mahalanobis, Abhijit Mahalanobis, Kenny Chen, Kenny Chen, Bahram Javidi, 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); doi: 10.1117/12.2276286; https://doi.org/10.1117/12.2276286
PROCEEDINGS
4 PAGES


SHARE
Back to Top