Journal ArticleDOI
Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques
TLDR
An overview of the newly developed automated image-based reconstruction approach and exclusive features which distinct it from other image- based or conventional photogrammetric techniques is presented and the terrestrial laser scanning approach carried out for reconstruction and comparison of as-built scenes is presented.About:
This article is published in Automation in Construction.The article was published on 2011-12-01. It has received 333 citations till now. The article focuses on the topics: Point cloud & Visualization.read more
Citations
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Geometry-informed deep learning-based structural component segmentation of post-earthquake buildings
TL;DR: In this paper , a geometry-informed deep learning-based structural component segmentation of post-earthquake buildings is proposed, where the GC term comprises split line loss and area loss to adapt to the circumference and area constraints of each component region.
Droni per la modellazione 3d e per l’individuazione degli ammaloramenti nelle pavimentazioni stradali
TL;DR: This note deals with a system for the production of 3D models based on the acquisition of digital images, by means of an automatic flight drone, applied to the analysis of a road infrastructure located in the territory of the Province of Reggio Calabria.
Journal ArticleDOI
The Use of Boston Dynamics SPOT in Support of LiDAR Scanning on Active Construction Sites
TL;DR: In this article , the authors conducted a pilot study comparatively analyzing terrestrial LiDAR scans from a human-based tripod scan system and the scans executed by Boston Dynamic's robot, "SPOT" in both manual and autonomous modes.
Journal ArticleDOI
State of the art of augmented reality capabilities for civil infrastructure applications
TL;DR: In this paper , the authors compared the capabilities of 16 AR head-mounted devices (HMDs) available in the market since 2017, ranking them in terms of performance for civil infrastructure implementations.
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Vison based metric for quality control by comparing built reality to BIM
Stan Vincke,Maarten Vergauwen +1 more
TL;DR: In this paper , the authors proposed a method that exploits the opportunities site imagery offers in construction monitoring practices, and harnesses the images' significant potential towards metric quality control of freshly built structural elements.
References
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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.
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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.
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A Comparison of Affine Region Detectors
Krystian Mikolajczyk,Tinne Tuytelaars,Cordelia Schmid,Andrew Zisserman,Jiri Matas,Frederik Schaffalitzky,Timor Kadir,L. Van Gool +7 more
TL;DR: A snapshot of the state of the art in affine covariant region detectors, and compares their performance on a set of test images under varying imaging conditions to establish a reference test set of images and performance software so that future detectors can be evaluated in the same framework.
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An optimal algorithm for approximate nearest neighbor searching fixed dimensions
TL;DR: In this paper, it was shown that given an integer k ≥ 1, (1 + ϵ)-approximation to the k nearest neighbors of q can be computed in additional O(kd log n) time.
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Modeling the World from Internet Photo Collections
TL;DR: This paper presents structure-from-motion and image-based rendering algorithms that operate on hundreds of images downloaded as a result of keyword-based image search queries like “Notre Dame” or “Trevi Fountain,” and presents these algorithms and results as a first step towards 3D modeled sites, cities, and landscapes from Internet imagery.