MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • Computer Science and Artificial Intelligence Lab (CSAIL)
  • Artificial Intelligence Lab Publications
  • AI Memos (1959 - 2004)
  • View Item
  • DSpace@MIT Home
  • Computer Science and Artificial Intelligence Lab (CSAIL)
  • Artificial Intelligence Lab Publications
  • AI Memos (1959 - 2004)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Estimating Stereo Disparities

Author(s)
Minsky, Marvin
Thumbnail
DownloadAIM-121.ps (3.028Mb)
Additional downloads
AIM-121.pdf (93.32Kb)
Metadata
Show full item record
Abstract
An interesting practical and theoretical problem is putting bounds on how much computation one needs to find the stereo-disparity between two narrow-angle stereo scenes. By narrow angle I mean situations wherein the angle subtended by the eyes is a very few degrees: the kind of correlation-disparity method discussed here probably isn't applicable to the wide-angle stereo we'll usually use for scene-analysis in the Project. The method we consider is to find the local maximum of local correlation between the left and right scenes, over a range of displacements along the eye-eye axis. Obviously this is a simple-minded method that will fail in certain situations: here we are not interested in bad cases so much as in getting estimates of the minimal computation in the favorable situations. A correlation can be considered as a properly-normalized sum of pairwise products of intensifies (or other surface functions). The correlation, for each disparity d, is obtained by using pairs that are d units apart in visual angle, referred to a standard azimuth scale in each eye. One can imagine a scheme in which the pairs are all different in the retinas.
Date issued
1967-02-01
URI
http://hdl.handle.net/1721.1/5874
Other identifiers
AIM-121
Series/Report no.
AIM-121

Collections
  • AI Memos (1959 - 2004)

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.