Abstract
Uttal (1969, 1971, 1973) has conducted a series of experiments investigating the role of dot configurations in the detection of visual forms. The results indicated that regular dot spacings and linear forms are optimal for shape detection. Uttal (1973) contends that these data support a linear autocorrelation theory of pattern detection. This paper emphasises the difference between pattern detection and recognition, and proposes a model for this latter process. The model is based on a concept of interpolation whereby the visual system constructs a shape representation by encoding rates of change of spatial parameters with respect to distance.
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