Date of Award
Summer 2013
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computational Modeling & Simulation Engineering
Program/Concentration
Modeling and Simulation
Committee Director
Frederic D. McKenzie
Committee Member
Yuzhong Shen
Committee Member
Gene Hou
Call Number for Print
Special Collections LD4331.E58 O24 2013
Abstract
There is a natural need for real-time min-or reflection in many interactive virtual reality applications to achieve visuo-haptic collocation through optical reflection. Its use, however, calls for adjustments to the original model since a mirror reverses image characteristics. This thesis introduces a design and implementation of a generic configuration component for virtual environments that adjusts image characteristics and haptic interfaces to accommodate various display setups while preserving the correct orientation and properties of the original models in the graphical scene. Four different but related approaches were developed for image connection and are compared and contrasted against primary criteria. The haptic interface is configured by adjusting the position and quaternion parameters of a Phantom haptic device's behavior using transformation matrices to account for the different world spaces created when using the various display setups. Furthermore, a method is implemented for synchronously running multiple viewports on separate displays for the same virtual environment. This work accomplishes an important step in the development of a surgical simulator for the Nuss Procedure surgery performed to connect Pectus Excavatum, a congenital deformity of the anterior chest wall, and can be expanded to other similar applications and setups. A Sensable Phantom haptic device controls the motion of the tool used in the simulated surgery. The results are validated and tested for consistency.
Rights
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DOI
10.25777/ps28-k163
Recommended Citation
Obeid, Mohammad F..
"A Multi-Configuration Display Methodology Incorporating Reflection for Real-Time Haptic-Interactive Virtual Environments"
(2013). Master of Science (MS), Thesis, Computational Modeling & Simulation Engineering, Old Dominion University, DOI: 10.25777/ps28-k163
https://digitalcommons.odu.edu/msve_etds/105
Included in
Computational Engineering Commons, Computer Engineering Commons, Computer Sciences Commons