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research-article

Immersive Distributed Design through Real Time Capture, Translation and Rendering of 3D Mesh Data

[+] Author and Article Information
Kevin Lesniak

Computer Science and Engineering The Pennsylvania State University University Park, PA 16802
kal5544@psu.edu

Conrad S. Tucker

Engineering Design, Industrial and Manufacturing Engineering The Pennsylvania State University University Park, PA 16802
ctucker4@psu.edu

Sven G. Bilén

Engineering Design, Electrical Engineering The Pennsylvania State University University Park, PA 16802
sbilen@psu.edu

Janis Terpenny

Industrial and Manufacturing Engineering The Pennsylvania State University University Park, PA 16802
jpt5311@engr.psu.edu

Chimay Anumba

Design, Construction and Planning University of Florida Gainesville, FL 32611
anumba@ufl.edu

1Corresponding author.

ASME doi:10.1115/1.4035001 History: Received September 15, 2016; Revised October 10, 2016

Abstract

With design teams becoming more distributed, the sharing and interpreting of complex data about design concepts/prototypes and environments has become increasingly challenging. The size and quality of data that can be captured and shared, directly affects the ability of receivers of that data to collaborate and provide meaningful feedback. To mitigate these challenges, the authors of this work propose the real time translation of physical objects into an immersive virtual reality environment using readily available Red, Green, Blue and Depth (RGB-D) sensing systems and standard networking connections. The emergence of commercial, off-the-shelf RGB-D sensing systems, such as the Microsoft Kinect, have enabled the rapid 3D reconstruction of physical environments. The authors present a method that employs 3D mesh reconstruction algorithms and real time rendering techniques to capture physical objects in the real world and represent their 3D reconstruction in an immersive virtual reali1ty environment with which the user can then interact. Providing these features allows distributed design teams to share and interpret complex 3D data in a natural manner. The method reduces the processing requirements of the data capture system while enabling it to be portable. The method also provides an immersive environment in which designers can view and interpret the data remotely. A case study involving a commodity RGB-D sensor and multiple computers connected through standard TCP internet connections is presented to demonstrate the viability of the proposed method.

Copyright (c) 2016 by ASME
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