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.
Get full access to this article
View all access options for this article.
References
1.
AraniT.KarwanM. H.DruryC. G. (1984). A variable-memory model of visual search. Human Factors, 26, 631–639.
2.
CaveK. R.WolfeM. (1990). Modeling the role of parallel processing in visual search. Cognitive Psychology, 22, 225–271.
3.
DollT. J.SchmiederD. E. (in press). Observer false alarm effects on detection in clutter. Optical Engineering.
4.
GouldJ. D. (1976). Looking at pictures. In MontyR. A.SendersJ. W. (Eds.), Eye movements and psychological processesHillsdale, N. J.: Lawrence Erlbaum Associates.
5.
GrahamN. (1991). Complex channels, early local nonlinearities, and normalization in texture segregation. In LandyM. S.MovshonJ. A. (Eds.). (1991). Computational Vision.Cambridge, MA: MIT Press.
6.
KochC.UllmanS. (1985). Shifts in selective visual attention: Towards the underlying neural circuitry. Human Neurobiology, 4, 219–227.
7.
RaynerK. (1978). Foveal and parafoveal cues in reading. In RequinJ. (Ed.), Attention and performance (Volume 7). Hillsdale, N.J.: Lawrence Erlbaum and Associates.
8.
TsotsosJ. K. (1990). Analyzing vision at the complexity level. Behavioral and Brain Sciences.13, 423–469.
9.
WilliamsL.G. (1966, February). Target Conspicuity and Visual Search. Human Factors, 80–92.
10.
WilsonH.R. (1991). Psychophysical models of spatial form and hyperacuity. In ReganE. (Ed.), Spatial Vision, New York: MacMillan.
11.
WilsonH. R.GelbD. J. (1984). Modified line element theory for spatial frequency and width discrimination. Journal of the Optical Society of America, A, 1, 124–131.
12.
WilsonH.R.McFarlaneD.K.PhillipsG.C. (1983). Spatial frequency tuning of orientation selective units estimated by oblique masking. Vision Research, 23, 873–882.
13.
WilsonH. R.RichardsW. A. (1992). Curvature and separation discrimination at texture boundaries. Journal of the Optical Society of America A, 9, 1653–1662.
14.
WolfeJ. M.CaveK. R.FranzelS L. (1989). Guided search: An alternative to the feature integration model for visual search. Journal of Experimental Psychology: Human Perception and Performance, 15, 419–433.
