Paper
31 August 2001 Optimizing a scene rendering subsystem for real-time IR/EO scene generation
Robert J. Makar, Mark E. Nuwer, Sheila Z. Balke, Daniel B. Howe, Timothy T. Mroz
Author Affiliations +
Abstract
This paper describes advances in the development of IR/EO scene generation using the second generation Scene Rendering Subsystem (SRS). The SRS is a graphics rendering engine designed specifically to support real-time hardware-in-the- loop testing of IR/EO sensor systems. The SRS serves as an alternative to visual rendering systems, such as the Silicon GraphicsTM Infinite Reality, when IR/EO sensor fidelity requirements surpass the limits designed into visual rendering hardware. Last year a re-design of the SRS was completed. The new SRS architecture is highly programmable and can be configured to use up to 256 parallel processors. This paper will provide an overview of the second generation SRS architecture and discuss advances in the SRS rendering software that take advantage of the computational power inherent in the new system. The discussion will include a report on the maximum performance achieved by the system, and a description of new rendering modes that support IR/EO scene generation requirements.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert J. Makar, Mark E. Nuwer, Sheila Z. Balke, Daniel B. Howe, and Timothy T. Mroz "Optimizing a scene rendering subsystem for real-time IR/EO scene generation", Proc. SPIE 4366, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing VI, (31 August 2001); https://doi.org/10.1117/12.438092
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Cited by 1 scholarly publication.
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KEYWORDS
Visualization

Sensors

Light sources and illumination

Infrared radiation

Atmospheric modeling

Databases

Image processing

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