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Journal ArticleDOI

Use of SfM-MVS approach to nadir and oblique images generated throught aerial cameras to build 2.5D map and 3D models in urban areas

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TLDR
The quality of the city model obtained with the SfM/MVS approach was evaluated on a dataset of aerial images involving the Old Town of Bordeux, taking into account the possibility to acquire aerial nadir and oblique images according to multi-view.
Abstract
The use of Structure-from-Motion (SfM) and Multi-View-Stereo (MVS) approaches to build 3D models of structures belonging to the Cultural Heritage environment is becoming more widespread. Du...

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Citations
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Journal ArticleDOI

Influence of Image TIFF Format and JPEG Compression Level in the Accuracy of the 3D Model and Quality of the Orthophoto in UAV Photogrammetry.

TL;DR: The results show a slight influence of image format and compression levels in flat or slightly flat surfaces; in the case of a complex 3D model, instead, the choice of a format became important and processing times were found to also play a key role, especially in point cloud generation.
Journal ArticleDOI

A Novel Method Based on Deep Learning, GIS and Geomatics Software for Building a 3D City Model from VHR Satellite Stereo Imagery

TL;DR: The comparison of the different pan-sharpening techniques showed that the Gram–Schmidt method provided better-quality color images than the other techniques examined; this result was deduced from both the visual analysis of the orthophotos and the analysis of quality indices.
Journal ArticleDOI

UAV Photogrammetry and 3D Modelling of Complex Architecture for Maintenance Purposes: the Case Study of the Masonry Bridge on the Sele River, Italy

TL;DR: Through a case study of a masonry bridge of special architectural and historic value built in the middle of 1800s and located in the south of Italy, the potential of the method developed in order to manage a maintenance or restoration project is shown.
References
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Journal ArticleDOI

Distinctive Image Features from Scale-Invariant Keypoints

TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Journal ArticleDOI

Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

TL;DR: New results are derived on the minimum number of landmarks needed to obtain a solution, and algorithms are presented for computing these minimum-landmark solutions in closed form that provide the basis for an automatic system that can solve the Location Determination Problem under difficult viewing.
Journal ArticleDOI

‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications

TL;DR: The Structure-from-Motion (SfM) method as mentioned in this paper solves the camera pose and scene geometry simultaneously and automatically, using a highly redundant bundle adjustment based on matching features in multiple overlapping, offset images.
Journal ArticleDOI

Google Street View: Capturing the World at Street Level

TL;DR: A team of Google researchers describes the technical challenges involved in capturing, processing, and serving street-level imagery on a global scale.
Book ChapterDOI

Remote Sensing of Urban/Suburban Infrastructure and Socio-Economic Attributes

TL;DR: In this article, the authors compared the user information requirements with the current and proposed remote sensing systems to determine if there are substantive gaps in capability for extracting urban/suburban infrastructure and socio-economic attributes from remote sen.
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