DocumentCode
1378045
Title
Affine structure from line correspondences with uncalibrated affine cameras
Author
Quan, Long ; Kanade, Takeo
Author_Institution
CNRS, Montbonnot, France
Volume
19
Issue
8
fYear
1997
fDate
8/1/1997 12:00:00 AM
Firstpage
834
Lastpage
845
Abstract
This paper presents a linear algorithm for recovering 3D affine shape and motion from line correspondences with uncalibrated affine cameras. The algorithm requires a minimum of seven line correspondences over three views. The key idea is the introduction of a one-dimensional projective camera. This converts 3D affine reconstruction of “line directions” into 2D projective reconstruction of “points”. In addition, a line-based factorization method is also proposed to handle redundant views. Experimental results both on simulated and real image sequences validate the robustness and the accuracy of the algorithm
Keywords
image reconstruction; image sequences; 3D affine reconstruction; 3D affine shape; affine structure; image sequences; line correspondences; line-based factorization method; linear algorithm; one-dimensional projective camera; redundant views; uncalibrated affine cameras; Cameras; Image converters; Image reconstruction; Image segmentation; Image sequences; Motion estimation; Robustness; Shape; Tensile stress;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.608285
Filename
608285
Link To Document