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Photographing Long Scenes with Multi-Viewpoint Panoramas Aseem Agarwala1 Maneesh Agrawala2 Michael Cohen3 David Salesin1,4 Richard Szeliski3
 

Summary: Photographing Long Scenes with Multi-Viewpoint Panoramas
Aseem Agarwala1 Maneesh Agrawala2 Michael Cohen3 David Salesin1,4 Richard Szeliski3
1University of Washington 2University of California, Berkeley 3Microsoft Research 4Adobe Systems
Figure 1 A multi-viewpoint panorama of a street in Antwerp composed from 107 photographs taken about one meter apart with a hand-held camera.
Abstract
We present a system for producing multi-viewpoint panoramas of
long, roughly planar scenes, such as the facades of buildings along a
city street, from a relatively sparse set of photographs captured with
a handheld still camera that is moved along the scene. Our work is
a significant departure from previous methods for creating multi-
viewpoint panoramas, which composite thin vertical strips from a
video sequence captured by a translating video camera, in that the
resulting panoramas are composed of relatively large regions of or-
dinary perspective. In our system, the only user input required be-
yond capturing the photographs themselves is to identify the domi-
nant plane of the photographed scene; our system then computes a
panorama automatically using Markov Random Field optimization.
Users may exert additional control over the appearance of the result
by drawing rough strokes that indicate various high-level goals. We
demonstrate the results of our system on several scenes, including

  

Source: Agrawala, Maneesh - Department of Electrical Engineering and Computer Sciences, University of California at Berkeley
Majumder, Aditi - School of Information and Computer Science, University of California, Irvine
Washington at Seattle, University of - Department of Computer Science and Engineering, Graphics and Imaging Laboratory

 

Collections: Computer Technologies and Information Sciences