Skip to Main Content
Frequently Asked Questions
Submit an ETD
Global Search Box
Need Help?
Keyword Search
Participating Institutions
Advanced Search
School Logo
Files
File List
Ying_master.pdf (3.01 MB)
ETD Abstract Container
Abstract Header
The visual perception of 3D shape from stereo: Metric structure or regularization constraints?
Author Info
Yu, Ying
ORCID® Identifier
http://orcid.org/0000-0002-1142-5499
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1500304207620237
Abstract Details
Year and Degree
2017, Master of Arts, Ohio State University, Psychology.
Abstract
A substantial number of psychophysical studies have found that the visual perception of 3D shape from stereo is systematically distorted so that the perceived shape is progressively compressed along the depth dimension as the viewing distance increases. This suggests that 3D shape perception depends on the perception of 3D metric structure, which requires the depth magnitude information derived from stereo to reconstruct the local structures, such as angles and line segments. These studies, however, have been criticized by Pizlo (Pizlo, 2008; Pizlo, Li, Sawada, & Steinman, 2014) for using impoverished stimuli that are not sufficiently well-structured to allow the application of powerful regularization constraints such as symmetry, planarity and compactness. His model, which takes these constraints as prior cues and recovers 3D shapes in a holistic way, can reliably reconstruct the shape from a single projection image. In Pizlo's model, the depth order information derived from stereo is the only binocular cue needed to improve the reconstructed shape to a nearly veridical level. The above two theoretical positions differ in many respects and we want to know which one can better account for the mechanism underlying people's 3D shape perception from stereo. Two experiments were conducted to evaluate people's ability to disambiguate 3D shapes defined by binocular disparity within the ambiguity family that formed by stretching a 3D shape in depth (i.e., Z-scale family) using different stimuli and different tasks under different viewing conditions. Although observers were able to make reliable judgments, most of them revealed systematic failures of shape constancy over changes in viewing angles and viewing distances. These findings can be largely accounted for by the misperception of metric structure and cannot be fitted by Pizlo's model. A few observers in Experiment 2, however, produced a different judgment pattern that cannot be explained by the misperception of metric structure and is somewhat aligned with the prediction of Pizlo's theory. The observed dissociation suggests the coexistence of two strategies in 3D shape perception: an analytical strategy based on local metric structure and a holistic strategy based on global configuration.
Committee
Alexander Petrov (Advisor)
Pages
111 p.
Subject Headings
Psychology
Keywords
3D shape perception
;
stereo
;
metric
;
regularization constraints
;
analytical processing
;
holistic processing
;
binocular disparity
Recommended Citations
Refworks
EndNote
RIS
Mendeley
Citations
Yu, Y. (2017).
The visual perception of 3D shape from stereo: Metric structure or regularization constraints?
[Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500304207620237
APA Style (7th edition)
Yu, Ying.
The visual perception of 3D shape from stereo: Metric structure or regularization constraints?
2017. Ohio State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1500304207620237.
MLA Style (8th edition)
Yu, Ying. "The visual perception of 3D shape from stereo: Metric structure or regularization constraints?" Master's thesis, Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500304207620237
Chicago Manual of Style (17th edition)
Abstract Footer
Document number:
osu1500304207620237
Download Count:
423
Copyright Info
© 2017, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.