Comparison of depth cameras for three-dimensional reconstruction in medicine

CHIU, Chuang-Yuan, THELWELL, M, SENIOR, Terry, CHOPPIN, Simon, HART, John and WHEAT, Jonathan (2019). Comparison of depth cameras for three-dimensional reconstruction in medicine. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 233 (9), 938-947.

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Official URL: https://journals.sagepub.com/doi/full/10.1177/0954...
Link to published version:: https://doi.org/10.1177/0954411919859922

Abstract

KinectFusion is a typical three-dimensional reconstruction technique which enables generation of individual three-dimensional human models from consumer depth cameras for understanding body shapes. The aim of this study was to compare three-dimensional reconstruction results obtained using KinectFusion from data collected with two different types of depth camera (time-of-flight and stereoscopic cameras) and compare these results with those of a commercial three-dimensional scanning system to determine which type of depth camera gives improved reconstruction. Torso mannequins and machined aluminium cylinders were used as the test objects for this study. Two depth cameras, Microsoft Kinect V2 and Intel Realsense D435, were selected as the representatives of time-of-flight and stereoscopic cameras, respectively, to capture scan data for the reconstruction of three-dimensional point clouds by KinectFusion techniques. The results showed that both time-of-flight and stereoscopic cameras, using the developed rotating camera rig, provided repeatable body scanning data with minimal operator-induced error. However, the time-of-flight camera generated more accurate three-dimensional point clouds than the stereoscopic sensor. Thus, this suggests that applications requiring the generation of accurate three-dimensional human models by KinectFusion techniques should consider using a time-of-flight camera, such as the Microsoft Kinect V2, as the image capturing sensor.

Item Type: Article
Uncontrolled Keywords: Three-dimensional scanning; accuracy; depth camera; imaging; kinectfusion; reconstruction; reliability; sensor; 0903 Biomedical Engineering; 0913 Mechanical Engineering
Identification Number: https://doi.org/10.1177/0954411919859922
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 20 Aug 2019 11:02
Last Modified: 20 Aug 2019 11:02
URI: http://shura.shu.ac.uk/id/eprint/25008

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