Modelling and Interpretation of Architecture from Several Images
International Journal of Computer Vision
Line-Based Structure from Motion for Urban Environments
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Building information modelling - Experts' views on standardisation and industry deployment
Advanced Engineering Informatics
Image change detection algorithms: a systematic survey
IEEE Transactions on Image Processing
Advanced Engineering Informatics
Advanced Engineering Informatics
Estimating correspondence between arbitrarily selected points in two widely-separated views
Advanced Engineering Informatics
Preface: Special issue on construction informatics
Advanced Engineering Informatics
Editorial: Special issue on RFID and sustainable value chains
Advanced Engineering Informatics
Automated sparse 3D point cloud generation of infrastructure using its distinctive visual features
Advanced Engineering Informatics
Achievements and challenges in recognizing and reconstructing civil infrastructure
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
A Self-adaptive ASIFT-SH method
Advanced Engineering Informatics
Advanced Engineering Informatics
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Traditional methods of collecting data on the progress of construction projects often involve human judgement, high costs, and are too infrequent to provide managers with timely and accurate control data. This study proposes a system that aims to address some of these shortcomings through automation. Our first contribution is a framework for the automatic generation of work packages. We describe the conceptual model and develop a prototype implementation, based on the results of a survey designed to capture the current practice of formulating work packages as performed in the industry. Our second contribution is a system that employs computer vision (CV) techniques to report on the progress of these work packages automatically. This is achieved by analysing sequences of digital images acquired regularly by on-site cameras. The result of this analysis, when compared with the expected state of construction, provides progress feedback on the work packages, allowing a project to be monitored more effectively.