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