z-logo
open-access-imgOpen Access
Reconstruction of visual appearance
Author(s) -
Peter North
Publication year - 1990
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.4.37
Subject(s) - artificial intelligence , computer vision , computer science , dimension (graph theory) , representation (politics) , stereopsis , computer stereo vision , computer graphics (images) , mathematics , politics , political science , pure mathematics , law
This paper presents a method for reconstructing the visual appearance of a scene from any viewpoint, given a collection of stereo pairs. A representation is suggested which is flexible and efficient, and algorithms to recover three dimensional structure and grey-level detail by combining a number of two-dimension al views are discussed. Some results using real and simulated data are given. This paper presents a method for reconstructing the visual appearance of a scene from any viewpoint given a collection of stereo pairs. For example, figure 1 shows two stereo pairs of the same building. The objective is to generate a new view from this data as in figure 2 (see below). The method has a number of properties:

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom