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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.
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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.

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Citations
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Journal ArticleDOI

Near Real-Time 3D Reconstruction and Quality 3D Point Cloud for Time-Critical Construction Monitoring

TL;DR: In this article , a Direct Sparse Odometry with Loop Closure (LDSO)-based 3D reconstruction method was proposed to achieve both near real-time operation and quality 3D point cloud simultaneously.
Journal ArticleDOI

Robust Simulation of Cyber-Physical Systems for Environmental Monitoring on Construction Sites

TL;DR: This study could enhance the robustness of the E-CPS in uncertainty conditions and aid the project managers to make decisions and take targeted measures according to the environmental monitoring results and experts’ decisions.
Book ChapterDOI

Rock Crusher Upgrade Business from a PLM Perspective

TL;DR: In this paper, the authors introduce the new Use-it-wise (UIW) approach to upgrading rock crushers at customer sites, which enables better communication, collaboration and involvement of all stakeholders, including customers, internal stakeholders, suppliers and partners.
Book ChapterDOI

Use Cases for Subcontractors and Fabricators

TL;DR: This chapter presents some opportunities that infrastructure computer vision (ICV) has provided for the subcontractors and fabricators and assess the vision-based approaches for geometric quality control and as-built status modeling in terms of accuracy and time-effectiveness.
Posted ContentDOI

The use of artificial intelligence to identify objects in a construction site

TL;DR: This research aims to evaluate a computer vision technique to identify objects of interest in construction sites, from videos and images of drones and static surveillance cameras, and its application can be extended to various other forms to have an intelligent and automated process of monitoring and control project construction activities.
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

A Comparison of Affine Region Detectors

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
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