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dc.contributor.authorJAZAYERI, IDAen_US
dc.date.accessioned2014-05-22T14:44:26Z
dc.date.available2014-05-22T14:44:26Z
dc.date.issued2010en_US
dc.identifier.citationJazayeri, I. (2010). Image-based modelling for object reconstruction. PhD thesis, Engineering - Geomatics, The University of Melbourne.en_US
dc.identifier.urihttp://hdl.handle.net/11343/35464
dc.description© 2010 Dr. Ida Jazayerien_US
dc.description.abstractAlthough automated object surface reconstruction via feature-based matching is commonly employed in topographic and stereo close-range photogrammetry, it has rarely been employed in conjunction with multi-image, convergent photogrammetric networks. The aim of the research undertaken for this PhD has been to develop mathematical models, algorithms, computational procedures and operational methodologies necessary to facilitate automated 3D object reconstruction in multi-image convergent photogrammetric networks. The development of an automated 3D surface measurement and visualization strategy, suited to multi-image, convergent photogrammetric networks that can be incorporated with robust automatic network orientation within a single data processing system, is presented. This development centres upon a feature-based matching approach that incorporates image pre-processing via the Wallis Filter, application of the FAST interest operator, and utilization of the Poisson Surface Reconstruction algorithm. The creation of 3D models using photogrammetric techniques involves the following phases: image pre-processing, camera calibration and network orientation, image scanning for point detection, surface measurement and triangulation, blunder detection and statistical filtering, mesh generation and texturing, and visualization and analysis. At present, there are no commercially available systems that allow all of these steps to be executed automatically within the same data processing environment. Instead, the phases are typically completed using multiple software systems that require the 3D data to be translated and interchanged between each of the various measurement, modelling and visualization packages. The culmination of the research project lies in the development of a fully automatic photogrammetric procedure in which all phases of the object reconstruction process can be implemented within a single software system. Notable achievements within this research include automatic high-accuracy feature extraction and subsequent point cloud generation in multi-image networks, robust network orientation, 3D object point determination and fully automatic wireframe generation and texturing, thus enabling automated surface measurement, modelling and visualization.en_US
dc.languageengen_US
dc.subjectobject reconstructionen_US
dc.subjectclose-range photogrammetryen_US
dc.subject3D modellingen_US
dc.subjectinterest operatorsen_US
dc.subjectfeature-based matchingen_US
dc.titleImage-based modelling for object reconstructionen_US
dc.typePhD thesisen_US
melbourne.affiliationThe University of Melbourneen_US
melbourne.affiliation.departmentEngineering - Geomaticsen_US
melbourne.linkedresource.urlhttp://cat.lib.unimelb.edu.au/record=b3702650
melbourne.thesis.supervisornameClive Fraser
melbourne.contributor.authorJAZAYERI, IDAen_US
melbourne.accessrightsThis item is currently not available from this repository


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