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Proceedings Paper

3D pose estimation using low resolution time-of-flight (ToF) cameras
Author(s): Jin He; Jun Yang; Ying He; Bin Liang
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Paper Abstract

Time-of-Flight(ToF) cameras developed rapidly in recent years, but its low resolution limits its application. In this paper, we propose a new method to estimate the object’s 3D pose using a single ToF camera. We use the Iterative Closest Points(ICP) algorithm based on the Normal Aligned Radial Feature(NARF) to achieve the pose estimation of the target. The experimental results show that this method can accurately estimate the 3D pose of an object using a low-resolution ToF camera.

Paper Details

Date Published: 9 August 2018
PDF: 5 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080667 (9 August 2018); doi: 10.1117/12.2502884
Show Author Affiliations
Jin He, Tsinghua Univ. (China)
Jun Yang, Tsinghua Univ. (China)
Ying He, Harbin Institute of Technology (China)
Bin Liang, Tsinghua Univ. (China)
Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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