Abstract
Abstract. The co-registration of photogrammetric products such as image blocks or point clouds is an essential step before they can be used for subsequent analysis. Usually this is done by using control points. This has some disadvantages such as the need for additional measuring devices and a laborious measuring of the coordinates. In prior works we developed a procedure that enables a marker-less co-registration of an image block with a digital building model. This extended abstract presents our current research as work-progress. For further facilitating and improving this process we identified two tasks. Using videogrammetry as data capturing technique and using an enhanced matching algorithm during the co-registration. This paper summarizes essential steps when making the switch from photogrammetry to videogrammetry and explains the basic principles of the improved matching process.
Highlights
Today the sustainable maintenance and conservation of buildings and especially infrastructure such as bridges, tunnels and roads is a major challenge
In (Kaiser et al, 2022) we presented a novel approach for the automated co-registration of image blocks with an existing digital building model
Other works use the geometry of the digital building model for an automated co-registration. (Kim et al, 2013) for example co-registers a point cloud to a model with the help of the Iterative Closest Point Algorithm. (Kropp et al, 2018) match lines extracted from video sequences with lines extracted from a building model for co-registering the image block
Summary
Today the sustainable maintenance and conservation of buildings and especially infrastructure such as bridges, tunnels and roads is a major challenge. Point clouds and oriented image blocks can be used for capturing the actual state of the structure for different points in time and to monitor the health of it. On the other hand it often requires additional measuring devices such as total stations or GNSS receivers for obtaining the coordinates of the control points. In order to get widely adopted by many users it is important that the complete process including data capturing and the actual co-registration can be automated as high as possible. In (Kaiser et al, 2022) we presented a novel approach for the automated co-registration of (single) image blocks with an existing digital building model. This method serves to reduce the of candidates and intends do accelerate the matching algorithms from image blocks to BIM model. That the two enhancements are theoretically independent, but are practically used in a common pipeline for the co-Registration of videogrammetric point clouds with BIM
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