Towards a comprehensive and efficient close range photogrammetry solution for low cost, high precision surveying

为低成本、高精度测量提供全面、高效的近距离摄影测量解决方案

• 批准号: 311923-2008
• 负责人: Daniel, Sylvie
• 金额: $ 1.33万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=505046
• 关键词: Towards; comprehensive; efficient; close; range

There is an increasing need for 3D acquisition and modeling of complex urban and landscape landmarks using simple and low cost technological solutions while offering spatially accurate and precise 3D object information. Terrestrial three-dimensional modeling of objects and scenes is an intensive and long-lasting research problem in the graphics, vision and photogrammetric communities. The requirements specified for many applications, including infrastructure inspection and surveying, involve high geometric accuracy and the modeling of the complete details, as well as the automation, low costs, portability and flexibility of the modeling technique. Different image-based approaches have been proposed to produce accurate and detailed models. However, they remain highly interactive since most of the current automated methods are still unproven in real applications. Consequently, the quality of the result depends on the user expertise. As a result, there is currently no photogrammetric solution dedicated to the expanding non-photogrammetrists user community requesting low cost and high accuracy systems.The long-term objective of the proposed research program consists in designing a comprehensive close range photogrammetry method for the 3D acquisition and modeling of complex objects and scenes. The targeted method will be design under low cost, high accuracy, automation and exhaustiveness constraints. In terrestrial photogrammetry, 3D acquisition and modeling is a two stages process. First (stage 1), it consists in acquiring the images and related positioning data (i.e. GPS and INS data); second (stage 2), it consists in exploiting these images in order to recover 3D object details. The performances of stage 2 are strongly relying on how stage 1 is carried out. Therefore, to meet our long-term objective, we propose to address the following short-term objectives: 1) to develop innovative strategies and methods to efficiently guide the images acquisition process; 2) to design new concepts for 3D modeling methods enhancing the automation of photogrammetric processes and their use by non specialists in geomatics. This research will yield to novel generic concepts, reusable in various computer and industrial vision domains.

越来越需要使用简单且低成本的技术解决方案对复杂的城市和景观地标进行3D采集和建模，同时提供空间上准确且精确的3D对象信息。地物和场景的三维建模是图形学、视觉和摄影测量领域的一个深入而持久的研究课题。对于许多应用（包括基础设施检查和测量）的特定要求涉及高几何精度和完整细节的建模，以及建模技术的自动化、低成本、便携性和灵活性。已经提出了不同的基于图像的方法来产生准确和详细的模型。然而，他们仍然高度互动，因为大多数目前的自动化方法仍然是未经证实的真实的应用程序。因此，结果的质量取决于用户的专业知识。因此，目前没有摄影测量解决方案，致力于不断扩大的非摄影测量师用户社区要求低成本和高精度systems.The长期目标的拟议研究计划包括在设计一个全面的近景摄影测量方法的三维采集和建模的复杂对象和场景。在低成本、高精度、自动化和穷举约束下设计有针对性的方法。在地面摄影测量中，三维获取和建模是一个两阶段的过程。首先（阶段1），它包括获取图像和相关的定位数据（即GPS和INS数据）;其次（阶段2），它包括利用这些图像以恢复3D对象细节。阶段2的性能很大程度上取决于阶段1的执行情况。因此，为了实现我们的长期目标，我们建议解决以下短期目标：1）开发创新的策略和方法，以有效地指导图像采集过程; 2）设计新的概念，三维建模方法，提高摄影测量过程的自动化和非专业人员在地理信息学中的使用。这项研究将产生新的通用概念，可重复使用的各种计算机和工业视觉领域。