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The construction industry lacks solutions for accurately, comprehensively and efficiently tracking the three dimensional (3D) status of buildings under construction. Such information is however critical to the successful management of construction projects: it supports fundamental activities such as progress tracking and construction dimensional quality(More)
This paper presents a system to manipulate 3D objects or navigate through 3D models by detecting the gestures and the movements of the hands of a user in front of a camera mounted on top of a screen. This paper more particularly introduces an improved skin color segmentation algorithm which combines an online and an offline model; and a Haarlet-based hand(More)
In a reversal of historic trends, the capital facilities industry is expressing an increasing desire for automation of equipment and construction processes. Simultaneously, the industry has become conscious that higher levels of interoperability are a key towards higher productivity and safer projects. In complex, dynamic, and rapidly changing(More)
This paper presents a new approach that allows automated recognition of three-dimensional (3D) Computer-Aided Design (CAD) objects from 3D site laser scans. This approach provides a robust and efficient means to recognize objects in a scene by integrating planning technologies, such as multi-dimensional CAD modeling, and field technologies, such as 3D laser(More)
SUMMARY: In construction, dimensional quality is critical but is very difficult to achieve, especially with built-in-place elements. As a result, dimensional Quality Assessment / Quality Control (QA/QC) must systematically be conducted, which often delays the value-adding work. Current methods for dimensional QA/QC are labor intensive, time consuming and(More)