Methods for user-based reduction of model complexity for virtual planetary exploration

Lewis E. Hitchner; Michael W. McGreevy

doi:10.1117/12.152736

8 September 1993 Methods for user-based reduction of model complexity for virtual planetary exploration

Lewis E. Hitchner, Michael W. McGreevy

Proceedings Volume 1913, Human Vision, Visual Processing, and Digital Display IV; (1993) https://doi.org/10.1117/12.152736
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

The NASA Ames Virtual Planetary Exploration (VPE) Testbed is developing methods for visualizing large planetary terrains in an interactive, immersive virtual environment system using a head-mounted display. Our data is the surface of Mars, modeled with a polygon mesh that typically contains 10⁵ or more polygons. The goal of our work is to present terrain views with both high detail and frame update rates of 10 Hz or greater. We do this with extended level of detail (LOD) management. In VPE we include three LOD criteria: (1) distance from the viewpoint, (2) distance from the center of field of view, and (3) a metric based upon user-defined regions of interest. Motivations for these are: (1) all objects, independent of position, only need be displayed at a minimum visually perceptible resolution, (2) interest is focussed on the center of the field in a head-directed display, and (3) a feature's level of detail should relate to its importance to the application task. Our method uses analysis functions for each criterion that compute normalized scale factors. Factors are combined with user specified weights. At every frame update each region of the scene is analyzed, and its resulting scale factor determines which model to render. Parameters for each criterion may be interactively set by the user or automatically set by system to meet performance criteria (e.g., frame update rate).

Citation Download Citation

Lewis E. Hitchner and Michael W. McGreevy "Methods for user-based reduction of model complexity for virtual planetary exploration", Proc. SPIE 1913, Human Vision, Visual Processing, and Digital Display IV, (8 September 1993); https://doi.org/10.1117/12.152736

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