Chiu Chuang-Yuan, Thelwell Michael, Senior Terry, Choppin Simon, Hart John, Wheat Jon
1 Centre for Sports Engineering Research, Sheffield Hallam University, Sheffield, UK.
2 Academy of Sport and Physical Activity, Sheffield Hallam University, Sheffield, UK.
Proc Inst Mech Eng H. 2019 Sep;233(9):938-947. doi: 10.1177/0954411919859922. Epub 2019 Jun 28.
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.
KinectFusion是一种典型的三维重建技术,它能够利用消费级深度相机生成个体三维人体模型,以了解身体形状。本研究的目的是比较使用KinectFusion从两种不同类型的深度相机(飞行时间相机和立体相机)收集的数据中获得的三维重建结果,并将这些结果与商业三维扫描系统的结果进行比较,以确定哪种类型的深度相机能提供更好的重建效果。躯干人体模型和加工过的铝制圆柱体被用作本研究的测试对象。分别选择两台深度相机,即微软Kinect V2和英特尔Realsense D435,作为飞行时间相机和立体相机的代表,以捕获扫描数据,通过KinectFusion技术重建三维点云。结果表明,使用开发的旋转相机装置,飞行时间相机和立体相机都能提供可重复的身体扫描数据,且操作员引起的误差最小。然而,飞行时间相机生成的三维点云比立体传感器更准确。因此,这表明对于需要通过KinectFusion技术生成精确三维人体模型的应用,应考虑使用飞行时间相机,如微软Kinect V2,作为图像捕获传感器。