Geometric modelling of 3D laser cameras for biomedical applications

下一代三维(3D)成像系统激光距离相机(LRC)为生物医学工程应用提供了巨大的潜力，这些应用需要高精度的3D数据来构建人体的分析模型。与目前在生物医学应用中使用的技术不同，如数码相机、激光扫描仪和X射线，LRC只需一台低成本相机即可快速捕捉3D数据的完整场景，而且不会使受试者暴露在有害辐射下，也不需要多个昂贵的传感器。由于最近LRC的商业化应用，要求高精度的3D生物医学应用所需的数据处理方法要么处于起步阶段，要么还不存在。因此，本研究项目的主要目的是通过开发和实验验证必要的数学模型和相关算法来增强这项技术的度量潜力。结果将在软件中实施，该软件极有可能在加拿大和海外吸引商业兴趣。此外，该项目还将培养众多高素质的人才，他们将成为这一前沿技术的国际专家。将受益的生物医学应用包括头面部扫描、脊柱侧弯测绘和全身测量。

The next generation of three-dimensional (3D) imaging systems, laser range cameras (LRCs), offer great potential for biomedical engineering applications that demand highly accurate 3D data for constructing analytical models of the human body. Unlike current technologies used in biomedical applications, such as digital cameras, laser scanners and X-rays, an LRC rapidly captures full scenes of 3D data with only a single, low-cost camera and without exposing the subject to harmful radiation or the need for multiple, expensive sensors. Due to the recent commercial availability of LRCs, the data processing methods needed for 3D biomedical applications requiring high accuracy are either in their infancy or non-existent. The principal aims of this research project are therefore to enhance the metric potential of this technology by developing and experimentally validating the necessary mathematical models and associated algorithms. The outcomes will be implemented in software that is highly likely to attract commercial interest in Canada and overseas. Furthermore, the project will train numerous highly qualified personnel who will be international experts in this frontier technology. Biomedical applications that will benefit include cranio-facial scanning, scoliosis mapping and full human body measurement.