Open AccessIndependence of sampling of motion parallax and binocular disparity in discrimination of depth 1
Author(s) -
YAKUSHIJIN REIKO
Publication year - 2007
Publication title -
japanese psychological research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.392
H-Index - 30
eISSN - 1468-5884
pISSN - 0021-5368
DOI - 10.1111/j.1468-5884.2007.00351.x
Subject(s) - parallax , binocular disparity , sampling (signal processing) , artificial intelligence , independence (probability theory) , computer vision , noise (video) , mathematics , set (abstract data type) , motion (physics) , computer science , statistics , binocular vision , psychology , image (mathematics) , filter (signal processing) , programming language
Abstract: The sampling strategy of the visual system in binocular disparity and motion parallax to discriminate depth was investigated. Human observers were asked to discriminate between the depths of two surfaces defined by both cues. Gaussian noise was added to the depths represented by each cue, and the correlation in noise was manipulated. Human performance was compared with two types of likelihood models. The first was based on independent sampling, in which data from the two cues were gathered from independent sets of points in the display. The second was based on paired sampling, in which data from these cues were gathered from the same set of points. The former model yielded a better fit with human performance. This suggests that the visual system is more likely to adopt independent sampling.