Visual discrimination of local surface depth and orientation.
Many theoretical analyses of 3-dimensional form perception assume that visible surfaces in the environment are perceptually represented in terms of local mappings of metric depth and/or orientation. Although this approach is often taken for granted in the study of human vision, there have been relatively few attempts to demonstrate its psychological validity empirically. In an effort to shed new light on this issue, our research has been designed to investigate the accuracy with which observers can discriminate metric depth and orientation intervals on smoothly curved surfaces. Observers were presented with visual images of surfaces defined by shading and/or texture, on which two pairs of points were designated with small dots. In Experiment 1, their task was to identify which pair of points had a greater difference in depth; in Experiment 2 they were required to judge which pair had a greater difference in orientation. The Weber fractions obtained for these tasks were 10 to 100 times greater than those that have been reported for other types of sensory discrimination, indicating that the perception of metric structure from these displays is surprisingly coarse grained.
Department of Cognitive and Linguistic Sciences, Brown University, Providence, RI 02912, USA.
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Reichel
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Todd
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Yilmaz
D001288:Attention; D003196:Computer Graphics; D015350:Contrast Sensitivity; D003867:Depth Perception; D004193:Discrimination Learning; D006801:Humans; D009903:Optical Illusions; D009949:Orientation; D010364:Pattern Recognition, Visual