Probabilistic scanning for high accuracy hand-held 3D reconstruction

用于高精度手持式 3D 重建的概率扫描

• 批准号: RGPIN-2014-06038
• 负责人: Roy, Sébastien
• 金额: $ 1.46万
• 依托单位: Université de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=567546
• 关键词: Probabilistic; scanning; accuracy; hand; held

This grant proposal is in the field of computer vision. Its primary focus is on developing new active 3D reconstruction technologies which are highly accurate, fast, and robust to variations in material properties such as inter-reflection (glossy materials) and sub-surface scattering (translucent materials). 3D active scanning has been around for a long time, but it has recently gained new momentum because of new applications such as 3D mapping of cities, gaming controls (Kinect), and the increasing accessibility of 3D printing. The goal is to create new structured light algorithms suitable for a hand-held portable scanner, where portability will not compromise accuracy and robustness. Applications of hand-held scanning technology are numerous and range from industrial reverse engineering to quality control, damage assessment, or shape estimation for medical use. Fundamental algorithmic advances will be closely matched by applications development, such as scene modelling for adaptive and architectural projections in technological arts, and scanning for 3D printing. With the democratization of 3D printing, a need is emerging for practical reverse engineering solutions to allow scanning of various objects efficiently and accurately. Also, automated print quality control and printer calibration are currently difficult to achieve, since 3D printers create plastic objects which are inherently hard to scan because they use glossy or translucent materials. In order to develop fully, the field of 3D printing will require very accurate, robust, fast, flexible and low cost methods for scanning printed objects (during the printing process, if possible) as well as real objects. Current scanner technologies can not achieve all of these requirements, so this is where this grant intends to contribute by exploring new approaches to further advance the field of 3D scanning. Obviously, there are many ways to perform 3D scanning, but we consider that the most useful and promising direction is toward real-time hand-held scanners. In exchange for the flexibility, portability and efficiency they offer, hand-held scanners suffer from reduced accuracy and robustness. This is mostly due to the fact that these scanners need not only to establish matches for 3D triangulation, but also accurately track their own position in space as the scan proceeds. This research will proceed from our most recent results where a new probabilistic approach was proposed for establishing dense correspondence using a new form of structured light. The various sub-topics involved in this research are spatial coherence analysis, probabilistic high-dimension matching algorithms, incremental probabilistic scanning, multi-camera systems, and architectural multi-projector systems.

这项拨款建议是在计算机视觉领域。它的主要重点是开发新的主动3D重建技术，这些技术高度准确，快速，并且对材料特性的变化具有鲁棒性，例如相互反射（光泽材料）和次表面散射（半透明材料）。3D主动扫描已经存在了很长一段时间，但由于新的应用程序，如城市的3D地图，游戏控制（Kinect）以及3D打印的可访问性越来越高，它最近获得了新的动力。我们的目标是创建适合手持式便携式扫描仪的新结构光算法，其中便携性不会损害精度和鲁棒性。 手持式扫描技术的应用范围非常广泛，从工业逆向工程到质量控制、损坏评估或医疗用途的形状估计。基础算法的进步将与应用程序的开发密切相关，例如技术艺术中自适应和建筑投影的场景建模，以及3D打印的扫描。 随着3D打印的民主化，需要实用的逆向工程解决方案，以允许有效和准确地扫描各种物体。此外，自动打印质量控制和打印机校准目前难以实现，因为3D打印机创建的塑料物体由于使用光泽或半透明材料而固有地难以扫描。为了充分发展，3D打印领域将需要非常准确、稳健、快速、灵活和低成本的方法来扫描打印物体（如果可能的话，在打印过程中）以及真实的物体。目前的扫描仪技术无法满足所有这些要求，因此这就是该赠款打算通过探索新方法来进一步推进3D扫描领域的贡献。显然，有很多方法可以进行3D扫描，但我们认为最有用和最有前途的方向是实时手持扫描仪。手持扫描仪提供了灵活性、便携性和效率，但其准确性和鲁棒性却有所降低。这主要是因为这些扫描仪不仅需要建立3D三角测量的匹配，而且还需要在扫描过程中准确地跟踪自己在空间中的位置。这项研究将从我们最近的结果，其中提出了一种新的概率方法，用于建立密集的对应使用一种新形式的结构光。本研究涉及的各个子主题是空间相干性分析、概率高维匹配算法、增量概率扫描、多摄像机系统和建筑多投影仪系统。