Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. Computer Science and Artificial Intelligence Lab (CSAIL)
  3. Artificial Intelligence Lab Publications
  4. AI Memos (1959 - 2004)
  5. Projective Structure from Two Uncalibrated Images: Structure from Motion and RecRecognition

Projective Structure from Two Uncalibrated Images: Structure from Motion and RecRecognition

Thumbnail Image
Download
Name

AIM-1363.pdf

Size

579.19 KB

Format

Adobe PDF

Checksum (MD5)

b3bcdae55d980104baea74cc85d4f42e

Thumbnail Image
Download
Name

AIM-1363.ps.Z

Size

201.91 KB

Format

Unknown

Checksum (MD5)

b34ab005f35ae4f9f7ef145b957628cf

Author(s)
Shashua, Amnon
Date Issued
September 1, 1992
Series/Report no.
AIM-1363
Abstract
This paper addresses the problem of recovering relative structure, in the form of an invariant, referred to as projective structure, from two views of a 3D scene. The invariant structure is computed without any prior knowledge of camera geometry, or internal calibration, and with the property that perspective and orthographic projections are treated alike, namely, the system makes no assumption regarding the existence of perspective distortions in the input images.
Persistent DSpace Link
http://hdl.handle.net/1721.1/5958
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.