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:
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