Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/36846
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Depth constancy and the absolute vergence anomaly
Author(s): Ranson, Rebecca E
Scarfe, Peter
van Dam, Loes C J
Hibbard, Paul B
Contact Email: paul.hibbard@stir.ac.uk
Keywords: Binocular vision
Depth perception
Binocular convergence
Depth constancy
Issue Date: Jan-2025
Date Deposited: 27-Nov-2024
Citation: Ranson RE, Scarfe P, van Dam LCJ & Hibbard PB (2025) Depth constancy and the absolute vergence anomaly. <i>Vision Research</i>, 226, Art. No.: 108501. https://doi.org/10.1016/j.visres.2024.108501
Abstract: Binocular disparity provides information about the depth structure of objects and surfaces in our environment. Since disparity depends on the distance to objects as well as the depth separation of points, information about distance is required to estimate depth from disparity. Our perception of size and shape is biased, such that far objects appear too small and flattened in depth, and near objects too big and stretched in depth. The current study assessed the extent to which the failure of depth constancy can be accounted for by the uncertainty of distance information provided by vergence. We measured individual differences in vergence noise using a nonius line task, and the degree of depth constancy using a task in which observers judged the magnitude of a depth interval relative to the vertical distance between two targets in the image plane. We found no correlation between the two measures, and show that depth constancy was much poorer than would be expected from vergence noise measured in this way. This limited ability to take account of vergence in the perception of depth is, however, consistent with our poor sensitivity to absolute disparity differences. This absolute disparity anomaly thus also applies to our poor ability to make use of vergence information for absolute distance judgements.
DOI Link: 10.1016/j.visres.2024.108501
Rights: This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You are not required to obtain permission to reuse this article. To request permission for a type of use not listed, please contact Elsevier Global Rights Department.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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