Enhanced Appearance-Based Material Classification for the Monitoring of Operation-Level Construction Progress through the Removal of Occlusions

Kevin K. Han, Banu Muthukumar, Mani Golparvar Fard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Tracking and visualizing the status of work-in-progress on construction sites can minimize the gap between short-term and long-term planning and lower coordination costs. Over the past few years, there have been studies on leveraging appearance information in point clouds and 4D building information models (BIM) to automatically detect progress deviations. These methods rely on libraries of construction material images to train the underlying material recognition models. Areas of the images corresponding to BIM elements are extracted and tested with the trained material recognition model. While successful results have been achieved, these extracted images contain occlusions that cause some BIM elements to be misclassified. To improve the accuracy, this paper presents a method that removes occlusions prior to performing material recognition. By creating 3D depth maps and simple linear iterative clustering (SLIC) superpixels, occlusions presented in the images are removed. The presented method is validated with four case studies. The experimental result shows the improved accuracies compared against that of the previous method without occlusion removal.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2016
Subtitle of host publicationOld and New Construction Technologies Converge in Historic San Juan - Proceedings of the 2016 Construction Research Congress, CRC 2016
EditorsJose L. Perdomo-Rivera, Carla Lopez del Puerto, Antonio Gonzalez-Quevedo, Francisco Maldonado-Fortunet, Omar I. Molina-Bas
PublisherAmerican Society of Civil Engineers (ASCE)
Pages879-889
Number of pages11
ISBN (Electronic)9780784479827
DOIs
StatePublished - Jan 1 2016
EventConstruction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan, CRC 2016 - San Juan, Puerto Rico
Duration: May 31 2016Jun 2 2016

Publication series

NameConstruction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan - Proceedings of the 2016 Construction Research Congress, CRC 2016

Other

OtherConstruction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan, CRC 2016
Country/TerritoryPuerto Rico
CitySan Juan
Period5/31/166/2/16

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

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