DocumentCode :
3192490
Title :
3D reconstruction from a stereo pair without the knowledge of intrinsic or extrinsic parameters
Author :
McKinley, T.J. ; McWaters, M.M. ; Jain, V.K.
Author_Institution :
Univ. of South Florida, Tampa, FL, USA
fYear :
2001
fDate :
2001
Firstpage :
148
Lastpage :
155
Abstract :
Estimation of the spatial coordinates of object points of a 3D environment, determined from stereo images of that environment, is well documented. However, the current approaches to 3D reconstruction of a scene from stereo images, require either the intrinsic camera parameters, the extrinsic parameters, or the spatial coordinates of at least five world points of that scene. In practice many more such points are usually required. This paper presents a method for 3D reconstruction when only two camera views are available, and no other camera information is available. It is assumed that the optical axes of the right and left cameras intersect and their Y-axes are parallel. A derivation of the equations needed in order to solve for the unknown parameters, within the framework of the assumed stereo system, is presented. Next, a one-sixteenth pixel interpolation over the camera pixel arrays is performed in order to improve the point correspondences, and thereby the accuracy of the parameter estimates. The technique described in this paper provides a 3D reconstruction up to a scale factor. This scaled reconstruction along with knowledge of the coordinates of one world point, or the dimensions of a familiar object, yield the true to scale point coordinates for that scene. Experiments on both synthetic and real stereo images yield very satisfactory results, as demonstrated
Keywords :
image reconstruction; interpolation; parameter estimation; stereo image processing; 3D reconstruction; camera pixel arrays; camera views; object points; parameter estimates; pixel interpolation; point correspondences; spatial coordinate estimation; stereo images; stereo pair; Cameras; Equations; Image reconstruction; Interpolation; Layout; Parameter estimation; Stereo image processing; Transmission line matrix methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital and Computational Video, 2001. Proceedings. Second International Workshop on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7695-1110-4
Type :
conf
DOI :
10.1109/DCV.2001.929954
Filename :
929954
Link To Document :
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