Learning to See Complex Random-Dot Stereograms

Perception ◽  
1975 ◽  
Vol 4 (2) ◽  
pp. 173-178 ◽  
Author(s):  
John P Frisby ◽  
Jeremy L Clatworthy

Many observers of complex random-dot stereograms find that the depth effect takes several seconds, or even minutes, to develop. Julesz (1971) has noted that giving a priori information to such observers about the nature of the ‘hidden’ cyclopean object appears to facilitate their stereopsis. An experiment is reported which investigated this possible facilitation. Naive subjects were shown a complex stereogram following various kinds of preliminary assistance, ranging from simply telling them about the amount of depth they could expect to see to showing them a full-scale model of the cyclopean object. Surprisingly, no benefit from such assistance could be demonstrated. All observers improved their stereopsis perception times with repeated presentations of the stereogram, showing that they could, in principle, benefit from assistance. A follow-up study three weeks later revealed that a substantial part of this improvement was maintained, indicating that the perceptual learning involved can last for a considerable period of time.

Perception ◽  
1978 ◽  
Vol 7 (1) ◽  
pp. 113-118 ◽  
Author(s):  
William S Cleveland ◽  
Roberta Guarino

Several numerical and graphical statistical methods are illustrated in an analysis of data from an experiment that investigated a hypothesis of Julesz that giving a person a priori information about the structure of a complex random-dot stereogram reduces the time needed to perceive it when it is viewed. The data are divided into two groups, one consisting of those observers who received no cue or verbal cues (NV) and the other consisting of those who received verbal-visual cues (VV). A quantile-quantile plot shows that the NV times (mean = 7.6) are longer than the VV times (mean = 5.6). By using probability plots, it is shown that the perception times have an exponential probability distribution. A hypothesis test based upon this distribution is used to show that the differences between the NV and W times has significance slightly below 0.05.


2000 ◽  
Vol 54 (5) ◽  
pp. 721-730 ◽  
Author(s):  
S. S. Kharintsev ◽  
D. I. Kamalova ◽  
M. Kh. Salakhov

The problem of improving the resolution of composite spectra with statistically self-similar (fractal) noise is considered within the framework of derivative spectrometry. An algorithm of the numerical differentiation of an arbitrary (including fractional) order of spectra is produced by the statistical regularization method taking into account a priori information on statistical properties of the fractal noise. Fractal noise is analyzed in terms of the statistical Hurst method. The efficiency and expedience of this algorithm are exemplified by treating simulated and experimental IR spectra.


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