3D pose estimation using low resolution time-of-flight (ToF) cameras

Jin He; Jun Yang; Ying He; Bin Liang

doi:10.1117/12.2502884

9 August 2018 3D pose estimation using low resolution time-of-flight (ToF) cameras

Jin He, Jun Yang, Ying He, Bin Liang

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 1080667 (2018) https://doi.org/10.1117/12.2502884
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

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.

Citation Download Citation

Jin He, Jun Yang, Ying He, and Bin Liang "3D pose estimation using low resolution time-of-flight (ToF) cameras", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080667 (9 August 2018); https://doi.org/10.1117/12.2502884

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