Title :
Affine structure from line correspondences with uncalibrated affine cameras
Author :
Quan, Long ; Kanade, Takeo
Author_Institution :
CNRS, Montbonnot, France
fDate :
8/1/1997 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on