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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Journal ArticleDOI
A new method for determining the deformation monitorable indicator of point cloud
TL;DR: In this paper, the deformation monitorable indicator (DMI) is determined by the relationship between the actual point cloud error space and the point error space of the point cloud.
Proceedings ArticleDOI
Sky to ground LASER looping for communication server syndrome
TL;DR: This work starts with a laser modulator which modulates laser to a satellite which works as a transponder which establishes data transmission to Rover and to base station to achieve inter-planetary transmission as well as wireless communication within earth.
Journal ArticleDOI
Automated joint 3D reconstruction and visual inspection for buildings using computer vision and transfer learning
Tao Wang,Vincent J.L. Gan +1 more
TL;DR: In this paper , the authors presented an automated 2D3D computer vision approach, with the aid of transfer learning, for joint 3D reconstruction and visual inspection of buildings. But this approach provided limited support to represent the global information of defects concerning their positions and affecting areas for the entire building.
Dissertation
3D Modeling of Indoor Building Geometry Using Unmanned Aerial Systems
TL;DR: In this article, a Structure from Motion (SfM) algorithm is applied to generate a 3D point cloud that represents the spatial information of the indoor building environment, and the accuracy and density of this point cloud were evaluated by comparing it with the ground truth point cloud generated from a laser scanner.
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
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.
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.