Photogrammetric Techniques and Algorithms Optimization for the Development of Interactive Augmented Reality Systems

Μπούτση, Αργυρώ Μαρία; Boutsi, Argyro Maria

dc.contributor.author	Μπούτση, Αργυρώ Μαρία
dc.contributor.author	Boutsi, Argyro Maria
dc.date.accessioned	2025-09-22T09:55:52Z
dc.date.available	2025-09-22T09:55:52Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/62526
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.30222
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/gr/	*
dc.subject	Επαυξημένη πραγματικότητα	el
dc.subject	Φωτογραμμετρία	el
dc.subject	Απόδοση γραφικών	el
dc.subject	3D μοντέλα	el
dc.subject	Augmented Reality	en
dc.subject	Photogrammetry	el
dc.subject	3D models	el
dc.subject	Rendering	el
dc.title	Photogrammetric Techniques and Algorithms Optimization for the Development of Interactive Augmented Reality Systems	en
dc.title	Φωτογραμμετρικές Τεχνικές και Βελτιστοποίηση Αλγορίθμων για την Ανάπτυξη Διαδραστικών Συστημάτων Επαυξημένης Πραγματικότητας	el
dc.contributor.department	Εργαστήριο Φωτογραμμετρίας	el
heal.type	doctoralThesis
heal.classification	Φωτογραμμετρία	el
heal.classification	Επαυξημένη Πραγματικότητα	el
heal.classification	Augmented Reality	en
heal.classification	Photogrammetry	el
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2025-09-18
heal.abstract	Real-time 3D rendering within immersive Augmented Reality (AR) environments is still a major challenge for computer graphics. New data acquisition and processing techniques of the fields of photogrammetry and remote sensing have drastically increased the requirement for more detailed meshes and the demand for higher display resolutions in recent years. While existing standards deal with specific needs, a comprehensive workflow for integrating such high-fidelity meshes in web-based and Mobile AR (MAR) systems remains an active area of research. This dissertation builds upon existing algorithms introduced in the last few years and develops various novel techniques which significantly improve both visual quality and rendering performance for visualization in the context of AR. The advances can be summarized as three main contributions. Firstly, batched multi-resolution model structure and view-depending loading are introduced as a lightweight 3D format and a high-performance rendering method for web-based AR applications respectively. The proposed method handles efficiently high-resolution and large-sized meshes that have been converted into the dedicated data type, supporting both natural feature tracking and location-based AR. The solution prioritizes the highest possible visual fidelity, while simultaneously delivering interactive frame rates and effectively managing the resource constraints inherent in mobile platforms and network bandwidth. The second contribution lies in combining traditional computer vision methodology with either low-level data organization, management and synchronization techniques or modern Deep Learning (DL) to enable the use of photogrammetric meshes as 3D overlays and optimize pose estimation. Two 3D engines are developed: a cross-platform Vulkan-based graphics engine with multithreading and efficient data transfer mechanisms, and an OpenGL ES-based engine for low-memory, limited CPU/GPU environments, employing data organization, instancing and texture compression. The OpenGL ES-based engine is extended as the basis of a lightweight pattern-based MAR prototype. The methodology tests and compares widely used feature detectors and binary descriptors combinations for efficient real-time recognition. Furthermore, a MAR prototype that combines visual Simultaneous Localization and Mapping (vSLAM) algorithm with DL-based object detection improves tracking performance in challenging outdoor environments, featuring comprehensive evaluation against other DL models. Thirdly, the proposed technical specifications, best practices and guidelines for the creation and management of such meshes in AR applications aim to pave the way for the integration of high-fidelity photogrammetric data on immersive technologies and evolve the sector of photogrammetry and 3D visualization.	en
heal.advisorName	Ιωαννίδης, Χαράλαμπος
heal.advisorName	Ioannidis, Charalabos
heal.committeeMemberName	Ιωαννίδης, Χαράλαμπος
heal.committeeMemberName	Λιαροκάπης, Φώτης
heal.committeeMemberName	Δουλάμης, Νικόλαος
heal.committeeMemberName	Ioannidis, Charalabos
heal.committeeMemberName	Liarokapis, Fotis
heal.committeeMemberName	Doulamis, Nikolaos
heal.academicPublisher	Σχολή Αγρονόμων και Τοπογράφων Μηχανικών	el
heal.academicPublisherID	ntua
heal.numberOfPages	167
heal.fullTextAvailability	false