Surprising Speed Jitter Invariance Of Pattern Matching In Random Dot Stereopsis

Abstract

Purpose:: During fixation, retinal images jitter around the fixation point, partly independently in both eyes. Since we are not aware of the jitter (despite that the amplitudes should be large enough to be seen), it is assumed that the image is stabilized by neural processing. We have tested how sensitive random dot stereopsis is against independent random spatial jitter of the two patterns to be fused, to learn about the performance of the" image stabilizer".Methods:: Two random square random dot patterns with 4 deg angular extend in the visual field were alternatingly presented on top of each other at 30 Hz on a computer screen. A pink/green spectacle was used to make only one pattern visible for each eye. The two patterns contained a 2 deg squared random dot field in the middle that could be displaced with mirror symmetry in horizontal direction (Julesz 1964) by 4 min of arc, causing a strong impression that the …

Matthias Bethge
Matthias Bethge
Professor for Computational Neuroscience and Machine Learning & Director of the Tübingen AI Center

Matthias Bethge is Professor for Computational Neuroscience and Machine Learning at the University of Tübingen and director of the Tübingen AI Center, a joint center between Tübingen University and MPI for Intelligent Systems that is part of the German AI strategy.