Feniosky Peña-Mora

TL;DR: 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.

TL;DR: This research focuses on exploring application of unsorted daily progress photograph logs available on any construction site as a data collection technique and the results of progress comparison between as-planned and as-built performances are visualized in the D4AR (4D Augmented Reality) environment using a traffic light metaphor.

TL;DR: In this article, a new automated approach for recognition of physical progress based on two emerging sources of information: (1) unordered daily construction photo collections, which are currently collected at almost no cost on all construction sites; and (2) building information models (BIMs), which are increasingly turning into binding components of architecture/engineering/construction contracts.

TL;DR: In this paper, the authors proposed a visualization of performance metrics that aims to represent progress deviations through superimposition of four-dimensional (4D) as-planned model over time-lapsed photographs in single and comprehensive visual imagery.

TL;DR: Recent developments from research efforts inautomated acquisition of as-built point-cloud models from unordered daily site photo collections and geo-registration of site images, and automated generation of four-dimensiona models are reported.