A general expression of the fundamental matrix for both perspective and affine cameras

被引:0
作者
Zhang, ZY [1 ]
Xu, G [1 ]
机构
[1] ATR, Human Informat Proc Res Lab, Kyoto 61902, Japan
来源
IJCAI-97 - PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 AND 2 | 1997年
关键词
motion analysis; epipolar geometry; uncalibrated images; non-metric vision; 3D reconstruction; fundamental matrix;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper addresses the recovery of structure and motion from two uncalibrated images of a scene under full perspective or under affine projection. Epipolar geometry, projective reconstruction, and affine reconstruction are elaborated in a way such that everyone having knowledge of linear algebra can understand the discussion without difficultly. A general expression of the fundamental matrix is derived which is valid for ang: projection model without lens distortion (including full perspective and affine camera). A new technique for affine reconstruction from tw uro affine images is developed, which consists in first estimating the affine epipolar geometry and then performing a triangulation for each point match with respect to an implicit common affine basis. This technique is very efficient.
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页码:1502 / 1507
页数:6
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