Literature DB >> 7454510

Slant underestimation: a model based on the size of the viewing aperture.

J A Perrone.   

Abstract

By analyzing the projection plane in terms of the projected size of different elements on a surface, it is shown how the direction of the perpendicular, from the station point to the surface, is an important variable in the derivation of the slant angle. It is also shown that the test surfaces used in traditional slant-perception experiments contain no information about this direction. A model is proposed which is based on the idea that the direction of the line from the eye to one edge of the viewing aperture is mistaken for the perpendicular, and two options are derived to show how the information in the optical array could be interpreted on the basis of the perpendicular lying in this new direction. It is shown that both of these options are dependent upon the size of the field of view of the test surface and both are underestimations as long as half of the angle measuring the field of view is less than the actual slant of the surface. The model is tested against some data from previously reported experiments and is found to provide a close fit.

Mesh:

Year:  1980        PMID: 7454510     DOI: 10.1068/p090285

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  3 in total

1.  Compensation is unnecessary for the perception of faces in slanted pictures.

Authors:  T A Busey; N P Brady; J E Cutting
Journal:  Percept Psychophys       Date:  1990-07

2.  Underestimation of visual texture slant by human observers: a model.

Authors:  M R Turner; G L Gerstein; R Bajcsy
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

3.  Anchoring in action: manual estimates of slant are powerfully biased toward initial hand orientation and are correlated with verbal report.

Authors:  Dennis M Shaffer; Eric McManama; Charles Swank; Morgan Williams; Frank H Durgin
Journal:  J Exp Psychol Hum Percept Perform       Date:  2014-03-24       Impact factor: 3.332

  3 in total

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