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Box spaces in pictorial space: linear perspective versus templates
Author(s) -
Huib de Ridder,
Sylvia C. Pont
Publication year - 2012
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.916464
Subject(s) - stereoscopy , perception , computer science , computer vision , perspective (graphical) , artificial intelligence , premise , dimension (graph theory) , image quality , popularity , quality (philosophy) , computer graphics (images) , image (mathematics) , mathematics , psychology , physics , linguistics , philosophy , neuroscience , pure mathematics , social psychology , quantum mechanics
In the past decades perceptual (or perceived) image quality has been one of the most important criteria for evaluating digitally processed image and video content. With the growing popularity of new media like stereoscopic displays there is a tendency to replace image quality with viewing experience as the ultimate criterion. Adopting such a high-level psychological criterion calls for a rethinking of the premises underlying human judgment. One premise is that perception is about accurately reconstructing the physical world in front of you (“inverse optics”). That is, human vision is striving for veridicality. The present study investigated one of its consequences, namely, that linear perspective will always yield the correct description of the perceived 3D geometry in 2D images. To this end, human observers adjusted the frontal view of a wireframe box on a television screen so as to look equally deep and wide (i.e. to look like a cube) or twice as deep as wide. In a number of stimulus configurations, the results showed huge deviations from veridicality suggesting that the inverse optics model fails. Instead, the results seem to be more in line with a model of “vision as optical interfac

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