کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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534351 | 870246 | 2017 | 11 صفحه PDF | دانلود رایگان |
Here we show the relation between illusory percepts and statistical regularities across scales and orientations. To this aim, the performance of a computational model for the partitioning of statistical regularities is analyzed on several tasks such as long-range boundary completion, phase-induced contour detection, as well as shape and size illusions. The system for the automatically learned partitioning of statistical regularities in 2D images, is based on a sophisticated, band-pass, filtering operation, with fixed scale and orientation sensitivity. Experimental results are provided to illustrate this analysis on several examples: (i) Kanizsa-type subjective figures; (ii) phase-induced subjective contours; (iii) the Zöllner illusion; and (iv) the Müller–Lyer illusion.
Journal: Pattern Recognition - Volume 33, Issue 12, December 2000, Pages 2007–2017