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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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Proceedings ArticleDOI

A 3D Model Compression Method for Large Scenes

TL;DR: This paper improves the edge collapse algorithm to solve the problem of undetected model structure and over-simplified model details and shows that the proposed algorithm can preserve the integrity of the model while maintaining a high compression efficiency.
Journal ArticleDOI

Methods of As-is BIM Reconstruction Using Point Cloud Data for Existing Buildings

Ting Wang, +1 more
TL;DR: The current research status of creating As-is BIM is introduced, the corresponding algorithms and data processing methods for creating As -is B IM using 3D reconstruction technology are summarized, and potential future development opportunities are proposed.
Proceedings ArticleDOI

StructureNet: Deep Context Attention Learning for Structural Component Recognition

TL;DR: Tensor decomposition is used to design a context attention framework that acquires crucial information across various dimensions by fusing the class contexts and 3-D attention map.
Journal ArticleDOI

Identifying the Impact on Labor Productivity From Design Choices Through Work Sampling

TL;DR: In this paper , a case study investigating assembly of cables at numerous locations with similar configurations, two companies are asked to install and terminate cables between switchgear, as the exterior around these is considered homogenous.
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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