Interactivity and immersion for visualization in earth sciences

Jean Louis Pajon; Vay Tran

doi:10.1117/12.205959

7 April 1995 Interactivity and immersion for visualization in earth sciences

Jean Louis Pajon, Vay Tran

Proceedings Volume 2410, Visual Data Exploration and Analysis II; (1995) https://doi.org/10.1117/12.205959
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

In the petroleum industry, huge simulations are analyzed with powerful graphics tools. Undoubtedly interactivity increases the efficiency of these tools. Is immersion, popularized in VR systems nowadays, also a key factor? Interactivity can be enhanced by various means, such as dedicated hardware, efficient polygonal extraction algorithms and geometry simplification. Special visualization techniques must be used for refined and multiblock structured grids. There are various input devices and navigational methods to manipulate 3D datasets. Two-dimensional input devices can be used for direct 3D manipulations which give the illusion of handling a real object. Many 6 DOF input devices are available. We have tested a mechanical joystick designed by V. Hayward at McGill University. It does not have some of the disadvantages of electromagnetic sensors (lag times, high noise, low accuracy) and it can be naturally used for control rate motion, which allows precise displacements in large virtual spaces. Conversely the ability of electromagnetic sensors to track various movements in large physical workspaces is quite useful for immersive visualization. Objects can be selected by a flying stylus. These new types of navigational tools combining stereoscopy, head-tracking and 3D manipulation tools will probably prevail over traditional tools which will still survive for some time because they have achieved some kind of perfection on their own.

Citation Download Citation

Jean Louis Pajon and Vay Tran "Interactivity and immersion for visualization in earth sciences", Proc. SPIE 2410, Visual Data Exploration and Analysis II, (7 April 1995); https://doi.org/10.1117/12.205959

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