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

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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.