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ReferencesNavigation arrowAuthorsNavigation arrowDavid E. Schmieder
May 23

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David E. Schmieder

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Publications by David E. Schmieder (bibliography)

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1993
 
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Doll, Theodore J., McWhorter, Shane W. and Schmieder, David E. (1993): Simulation of Human Visual Search in Cluttered Backgrounds. In: Proceedings of the Human Factors and Ergonomics Society 37th Annual Meeting 1993. pp. 1310-1314.

“Work in progress at Georgia Tech to develop a model of human pattern perception, visual search, and detection is reviewed. The model's algorithms are based on research on low-level visual processes. Recent advances in that field have led to the development of computational models of the image processing performed by the visual system from the cornea to the striate cortex. The model also incorporates recent advances from research on visual search. The organization of the model is described, and the results of some preliminary tests are presented.”

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1992
 
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Doll, Theodore J., McWhorter, Shane W. and Schmieder, David E. (1992): Visual Search and Detection in Background Clutter. In: Proceedings of the Human Factors Society 36th Annual Meeting 1992. pp. 1420-1424.

“Two traditions of vision modeling have coexisted for many years with little or no transfer of information between them. Those interested in models of visual target acquisition for real-world scenarios have developed engineering models, which are essentially empirical summaries of visual performance data. On the other hand, basic researchers in visual psychophysics and neurophysiology have developed quantitative models of pattern perception. The basic research models have increased in generality and scope to the point that they are potentially powerful tools for addressing certain real-world needs that have recently come to the fore. The needs include quantitative, theory-based methods for evaluating target signatures, effects of background clutter, and observer false alarm rates. This paper reviews the shortcomings of existing target acquisition models, and reports work in progress to develop an improved model of target acquisition that incorporates a model of pattern perception from basic vision research.”

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1988
 
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Doll, Theodore J., Cathcart, J. Michael and Schmieder, David E. (1988): Infrared Target Detection in Structured Urban Scenes. In: Proceedings of the Human Factors Society 32nd Annual Meeting 1988. pp. 1324-1328.

“An experiment was conducted to measure observers' performance in detecting military targets in structured scenes with a high density of man-made features, i.e., "urban clutter". The scenes were simulations of those produced by an infrared (IR) imaging system in air-to-ground situations. Scenes were generated with various signal-to-clutter ratios (SCR's), and were filtered to produce various levels of resolution. Detection performance was measured using a rating-scale detection task. Sensitivity (d') increased with resolution, but varied little with SCR. Contrary to expectation, detection performance for a given level of resolution and SCR was better in the present urban scenes than in rural scenes used in a previous study. The findings help define requirements for the design and employment of IR imaging systems, and also suggest directions for future research directed at better understanding target detection processes in structured backgrounds.”

© All rights reserved Doll et al. and/or Human Factors Society

 
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15 Feb 2010: Modified
26 Jun 2007: Added
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25 Jun 2007: Added

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URL: http://www.interaction-design.org/references/authors/david_e__schmieder.html
May 23

“ Knowledge is commonly socially constructed, through collaborative efforts towards shared objectives or by dialogues and challenges brought about by different persons' perspectives. ”

-- G. Salomon (in "Distributed Cognitions: Psychological and Educational Considerations")

 
 

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

 
 

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