MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • Computer Science and Artificial Intelligence Lab (CSAIL)
  • Artificial Intelligence Lab Publications
  • AI Technical Reports (1964 - 2004)
  • View Item
  • DSpace@MIT Home
  • Computer Science and Artificial Intelligence Lab (CSAIL)
  • Artificial Intelligence Lab Publications
  • AI Technical Reports (1964 - 2004)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Geometric Aspects of Visual Object Recognition

Author(s)
Breuel, Thomas M.
Thumbnail
DownloadAITR-1374.ps (31.49Mb)
Additional downloads
AITR-1374.pdf (25.27Mb)
Metadata
Show full item record
Abstract
This thesis presents there important results in visual object recognition based on shape. (1) A new algorithm (RAST; Recognition by Adaptive Sudivisions of Tranformation space) is presented that has lower average-case complexity than any known recognition algorithm. (2) It is shown, both theoretically and empirically, that representing 3D objects as collections of 2D views (the "View-Based Approximation") is feasible and affects the reliability of 3D recognition systems no more than other commonly made approximations. (3) The problem of recognition in cluttered scenes is considered from a Bayesian perspective; the commonly-used "bounded-error errorsmeasure" is demonstrated to correspond to an independence assumption. It is shown that by modeling the statistical properties of real-scenes better, objects can be recognized more reliably.
Date issued
1992-05-01
URI
http://hdl.handle.net/1721.1/7342
Other identifiers
AITR-1374
Series/Report no.
AITR-1374
Keywords
computer vision, bouded error, point matching, 3D objectsrecognition

Collections
  • AI Technical Reports (1964 - 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.