Abstract
Abstract. Nowadays, in light of the latest development in three-dimensional (3D) modeling technology, an essential role is given to the research and development of fully-automated or semi-automated processes in order to increase workflow effectiveness. A key challenge is thus to automate the process leading to the geometric model which supports the Building Information Modeling (BIM) or 3D-Geographical Information Systems (3D-GIS). This 3D model usually originates from image-based or range-based point clouds. This research is the beginning of the development of a 3D modeling approach that is semi-automatic, and possibly fully-automatic, by combining polygon surface fitting (polyfit) technique and monoscopic multi-image measurement system. With the advent of dense matching and Structure from Motion methods (SfM), point clouds can be generated from multiple images obtained from digital cameras. Then, to reduce the data and to allow for efficient processing, it is necessary to extract polygonal surface data from point clouds delivered by the dense matching process. The polygonal surface is then used for the basis of further manual monoscopic measurements which are achieved separately on each image to obtain more detailed 3D model. Next, this approach analyzed the polygonal surface deformations in comparison to the initial point cloud data. It can be seen how the resolution and noise of the original point clouds affect the subsequent Polyfit-based modeling and monoscopic measurements. The deformations and the accuracy evaluation have been undertaken using different open source software. Also, the geometric error in the polyfit-derived polyhedral reconstruction propagating to the subsequent monoscopic-derived measurements was evaluated. Finally, our modeling approach shows that it can improve the processing speed and level of detail of the 3D models achieved using existing monoscopic measurements. Typically geometric accuracy itself doesn’t have enough information to make accurate geometry model.
Highlights
1.1 BackgroundAccording to Article 37 Paragraph (3) of the Indonesian Law No 28 of 2002, concerning building construction, the preservation, maintenance, and inspection of buildings must be carried out in order to meet the requirements of functional worthiness
To find out the points distribution that contribute to the formation of the 3D model plane, it is necessary to compare the position of point cloud to the nearest 3D model plane so that the distance value is obtained
This research demonstrates that digital close range photogrammetry technique which utilizes a non-metric digital camera at drone is capable of modelling object study
Summary
1.1 BackgroundAccording to Article 37 Paragraph (3) of the Indonesian Law No 28 of 2002, concerning building construction, the preservation, maintenance, and inspection of buildings must be carried out in order to meet the requirements of functional worthiness. Manual monoscopic measurements are achieved separately on each image to obtain three-dimensional model of an architectural or heritage objet. These systems don’t give the opportunity of conventional stereo-photogrammetry (Hanke and Grussenmeyer, 2002). Using automation will reduce the possibility of error even more so in a fast developing world where decisions are needed to be faster and more accurate This necessitates the introduction of automatic digitization in 3D modeling. Automatic or semi-automatic digitization performs the same task as manual process but with minimum and/or no human interference. These techniques can be developed for all possible features
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
