3D workflow for HDR image capture of projection systems and objects for CAVE virtual environments authoring with wireless touch-sensitive devices

Mark J. Prusten; Michelle McIntyre; Marvin Landis

doi:10.1117/12.643659

30 January 2006 3D workflow for HDR image capture of projection systems and objects for CAVE virtual environments authoring with wireless touch-sensitive devices

Mark J. Prusten, Michelle McIntyre, Marvin Landis

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Proceedings Volume 6055, Stereoscopic Displays and Virtual Reality Systems XIII; 60551Q (2006) https://doi.org/10.1117/12.643659
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

A 3D workflow pipeline is presented for High Dynamic Range (HDR) image capture of projected scenes or objects for presentation in CAVE virtual environments. The methods of HDR digital photography of environments vs. objects are reviewed. Samples of both types of virtual authoring being the actual CAVE environment and a sculpture are shown. A series of software tools are incorporated into a pipeline called CAVEPIPE, allowing for high-resolution objects and scenes to be composited together in natural illumination environments [1] and presented in our CAVE virtual reality environment. We also present a way to enhance the user interface for CAVE environments. The traditional methods of controlling the navigation through virtual environments include: glove, HUD's and 3D mouse devices. By integrating a wireless network that includes both WiFi (IEEE 802.11b/g) and Bluetooth (IEEE 802.15.1) protocols the non-graphical input control device can be eliminated. Therefore wireless devices can be added that would include: PDA's, Smart Phones, TabletPC's, Portable Gaming consoles, and PocketPC's.

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Mark J. Prusten, Michelle McIntyre, and Marvin Landis "3D workflow for HDR image capture of projection systems and objects for CAVE virtual environments authoring with wireless touch-sensitive devices", Proc. SPIE 6055, Stereoscopic Displays and Virtual Reality Systems XIII, 60551Q (30 January 2006); https://doi.org/10.1117/12.643659

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KEYWORDS

Virtual reality

High dynamic range imaging

OpenGL

Human-machine interfaces

Visualization

Cameras

Java

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