Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Stereoscopic visual acuity for bending motion in 3-D space

Not Accessible

Your library or personal account may give you access

Abstract

Human stereoscopic vision may provide precise information about 3-D structure. Fundamental theoretical questions concern the specific geometric properties of monocular stimulation that carry visual information for stereopsis. Recent evidence on the stereoscopic acuity for moving patterns indicates that perceived 3-D structure derives from disparities between the monocular optical fields, rather than from disparities between retinal positions of individual points, and from the self-congruence of spatiotemporal form.1 The spatial structures in previous experiments, however, were rigidly moved. The present experiment tested the necessity for rigid motion. Optical patterns consisted of four dots (initially collinear and equally spaced—30 min of arc) undergoing bending motion in a plane tilted in depth. The task was to detect the depth displacement of a single dot from this continually changing curve. Observers detected displacements < 10-sec of arc disparity as accurately for bending curves as for stationary straight lines. Thus, stereoscopic acuity derives from the self-congruence of even nonrigidly moving form.

© 1986 Optical Society of America

PDF Article
More Like This
Difference of Perceived Depth Change between Arc 3D Display and Stereoscopic Display by Increasing Visual Acuity Difference

Yoko Awata, Haruki Mizushina, and Shiro Suyama
6a_A409_2 JSAP-OSA Joint Symposia (JSAP) 2017

Visual motion and stereo signals for a 3-D shape

Joseph S. Lappin, Warren D. Craft, Steven T. Tschantz, and Changnian Sun
FM5 OSA Annual Meeting (FIO) 1991

Spatial factors influencing stereopsis and fusion

Clifton M. Schor
MB3 OSA Annual Meeting (FIO) 1986

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.