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| Research article summary (published 30 Aug 2002): |
Interpolating sampled contours in 3-D: analyses of variability and bias.
Full Abstract
In two experiments, we examined how observers interpolated the missing parts of sampled, planar contours in 3-D space. We varied (1) contour type (linear or parabolic), (2) orientation of the plane containing the contour and (3) the number of points on a sampled contour.Interpolation performance was very accurate, comparable to results from Vernier tasks. Setting variability was highest along the line of sight and for the parabolic contour. Setting variability did not decrease with increasing number of points on either contour, suggesting that observers do not use all available, relevant information in this task.
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Author information
Author/s: Warren, Paul A (PA); Maloney, Laurence T (LT); Landy, Michael S (MS);
Affiliation: Department of Psychology & Center for Neural Science, New York University, 6 Washington Place, New York, NY 10003, USA.
Grants: EY08266 (Agency:United States NEI)
Journal and publication information
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.
Journal: Vision research (Vision Res), published in England. (Language: eng)
Reference: 2002-Sep; vol 42 (issue 21) : pp 2431-46
Dates: Created 2002/10/07; Completed 2002/12/16; Revised 2007/11/14;
PMID: 12367742, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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