KEYWORDS: Visual system, Image segmentation, Human subjects, 3D image processing, 3D modeling, 3D vision, Performance modeling, Visualization, Mirrors, Eye
Retinal image of a symmetric object is itself symmetric only for a small set of viewing directions. Interestingly, human
subjects have little difficulty in determining whether a given retinal image was produced by a symmetric object,
regardless of the viewing direction. We tested perception of planar (2D) symmetric figures (dotted patterns and
polygons) when the figures were slanted in depth. We found that symmetry could be detected reliably with polygons,
but not with dotted patterns. Next, we tested the role image features representing the symmetry of the pattern itself
(orientation of projected symmetry axis and symmetry lines) vs. those representing the 3D viewing direction
(orientation of the axis of rotation). We found that symmetry detection is improved when the projected symmetry axis
or lines are known to the subject, but not when the axis of rotation is known. Finally, we showed that performance with
orthographic images is higher than that with perspective images. A computational model, which measures the
asymmetry of the presented polygon based on its single orthographic or perspective image, is presented. Performance
of the model is similar to the performance of human subjects.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.