Content Based Integration of *Construction Site Images in AEC/FM Model Based Systems

In this dissertation, an automated methodology for the retrieval, classification, and integration of construction images in AEC/FM model based systems will be presented. Specifically, a combination of techniques from the areas of image processing, computer vision, and content-based image retrieval have been deployed to develop a method that can retrieve related construction site image data from components of a project model. This method is able to automatically classify, store, integrate and retrieve image data files in inter-organizational systems so as to allow their usage in project management related tasks like project monitoring and productivity measuring systems, processes visualization across time and inventory monitoring as well as evidence retrieval for litigation and other purposes.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Civil and Environmental Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Brilakis, Ioannis

Contributors dc:contributor

• Lucio Soibelman

• Engineering, Civil

Language dc:language

eng

Identifier

(MiAaPQ)AAI3198934

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/83271