Motion Tracking in Narrow Spaces: A Structured Light Approach
Motion Tracking in Narrow Spaces: A Structured Light Approach
复制标题
狭窄空间中的运动跟踪：结构光方法
DOI：
10.1007/978-3-642-15711-0_32
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
R. Larsen
中科院分区：
文献类型：
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作者：
O. V. Olesen;R. Paulsen;L. Højgaard;Bjarne Roed;R. Larsen
我们提出了一种新颖的3D医学扫描仪内患者头部运动跟踪系统。目前，该系统的目标是西门子高分辨率研究层析成像（HRRT） PET扫描仪。使用小型结构光系统重建部分表面。利用鲁棒迭代最近点算法将重建的三维点云与参考曲面进行匹配。一个主要的挑战是狭窄的几何形状需要紧凑的结构光系统和倾斜的观察角度。该系统使用安装在旋转台上的人体模型头部进行验证。我们将该系统与基于刚性跟踪工具的标准光学运动跟踪器进行比较。我们的系统实现了0.11°的角度RMSE，证明了它与运动补偿3D扫描图像重建的相关性，以及它与标准光学系统的竞争力，RMSE为0.08°。最后给出了真实人脸运动估计的定性结果。
We present a novel tracking system for patient head motion inside 3D medical scanners. Currently, the system is targeted at the Siemens High Resolution Research Tomograph (HRRT) PET scanner. Partial face surfaces are reconstructed using a miniaturized structured light system. The reconstructed 3D point clouds are matched to a reference surface using a robust iterative closest point algorithm. A main challenge is the narrow geometry requiring a compact structured light system and an oblique angle of observation. The system is validated using a mannequin head mounted on a rotary stage. We compare the system to a standard optical motion tracker based on a rigid tracking tool. Our system achieves an angular RMSE of 0.11° demonstrating its relevance for motion compensated 3D scan image reconstructions as well as its competitiveness against the standard optical system with an RMSE of 0.08°. Finally, we demonstrate qualitative result on real face motion estimation.