Paper
24 July 2000 Perception testing for development of computer models of ground vehicle visual discrimination performance
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Abstract
This paper describes a series of large-scale perception experiments designed to collect human observer visual search and discrimination performance data for use in calibrating and validating computer models of visual acquisition of military ground vehicles. The first experiment provides data for development of models of color and luminescence adaptation and contrast sensitivity to extract information needed to discriminate simple 2-D shapes, as a function of size, adaptation, blur and contrast. The second experiment provides data for development of models of search and discrimination for simple 3-D shapes in cluttered backgrounds, as a function of size, clutter level, and facet contrast. The third experiment provides data for development of models of serach and discrimination of military ground vehicles in natural settings. These stimuli include vehicles at close and far ranges, with and without cue feature suppression, with and without camouflage, and under clear, hazy and dark conditions. Observer response test results show that the stimuli are uniformly distributed from very high to very low signatures. This paper also reports on insights for modeling visual discrimination.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gary Witus and R. Darin Ellis "Perception testing for development of computer models of ground vehicle visual discrimination performance", Proc. SPIE 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process, (24 July 2000); https://doi.org/10.1117/12.392521
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Data modeling

3D modeling

Visualization

Computer simulations

Calibration

3D acquisition

Data acquisition

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