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Valorisation of urban elements through 3D models generated from image matching point clouds and augmented reality visualization based in mobile platforms
Author(s): Luís Marques; Josep Roca Cladera; José António Tenedório
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Paper Abstract

The use of multiple sets of images with high level of overlapping to extract 3D point clouds has increased progressively in recent years. There are two main fundamental factors in the origin of this progress. In first, the image matching algorithms has been optimised and the software available that supports the progress of these techniques has been constantly developed. In second, because of the emergent paradigm of smart cities which has been promoting the virtualization of urban spaces and their elements. The creation of 3D models for urban elements is extremely relevant for urbanists to constitute digital archives of urban elements and being especially useful for enrich maps and databases or reconstruct and analyse objects/areas through time, building and recreating scenarios and implementing intuitive methods of interaction. These characteristics assist, for example, higher public participation creating a completely collaborative solution system, envisioning processes, simulations and results. This paper is organized in two main topics. The first deals with technical data modelling obtained by terrestrial photographs: planning criteria for obtaining photographs, approving or rejecting photos based on their quality, editing photos, creating masks, aligning photos, generating tie points, extracting point clouds, generating meshes, building textures and exporting results. The application of these procedures results in 3D models for the visualization of urban elements of the city of Barcelona. The second concerns the use of Augmented Reality through mobile platforms allowing to understand the city origins and the relation with the actual city morphology, (en)visioning solutions, processes and simulations, making possible for the agents in several domains, to fundament their decisions (and understand them) achieving a faster and wider consensus.

Paper Details

Date Published: 4 October 2017
PDF: 13 pages
Proc. SPIE 10431, Remote Sensing Technologies and Applications in Urban Environments II, 104310P (4 October 2017); doi: 10.1117/12.2278065
Show Author Affiliations
Luís Marques, Univ. Politècnica de Catalunya (Portugal)
Univ. Nova de Lisboa (Portugal)
Josep Roca Cladera, Univ. Politècnica de Catalunya (Spain)
José António Tenedório, Univ. Nova de Lisboa (Portugal)


Published in SPIE Proceedings Vol. 10431:
Remote Sensing Technologies and Applications in Urban Environments II
Thilo Erbertseder; Nektarios Chrysoulakis; Ying Zhang; Wieke Heldens, Editor(s)

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