Title :
Reconstructing 3D lines from a sequence of 2D projections: representation and estimation
Author :
Chang, Y.-L. ; Aggarwal, J.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
The reconstruction of a 3-D line from a sequence of its 2-D projections is addressed. The authors first consider the problem of 3-D line representation and then the recursive estimation algorithm. They point out the problems with all previous 3-D line representation models, and suggest a novel approach based on simple geometrical observations. They then derive the corresponding recursive estimation algorithm for the novel representation, based on simple linear algebra. The representation model and the recursive algorithm are implemented on an IBM RT PC and simulation results are presented
Keywords :
computer vision; computerised picture processing; linear algebra; 2D projections; 3D lines reconstruction; IBM RT PC; computer vision; estimation; geometrical observations; linear algebra; recursive estimation algorithm; representation; representation model; simulation; Cameras; Computational modeling; Computer vision; Image reconstruction; Image segmentation; Least squares approximation; Linear algebra; Motion estimation; Recursive estimation; Solid modeling;
Conference_Titel :
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-8186-2057-9
DOI :
10.1109/ICCV.1990.139503