CURVE MATCHING AND STEREO CALIBRATION

被引：56

作者：

PORRILL, J

POLLARD, S

机构：

[1] AI Vision Research Unit. University of Sheffield, Sheffield

来源：

IMAGE AND VISION COMPUTING | 1991年 / 9卷 / 01期

关键词：

CURVE MATCHING; STEREO CALIBRATION; MATCHING;

D O I：

10.1016/0262-8856(91)90048-T

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The topological obstacles to the matching of smooth curves in stereo images are shown to occur at epipolar tangencies. Matching is possible when these tangencies satisfy certain projective constraints (the tangent lines form corresponding pencils) and metric contraints dependent on the camera geometry. Such points are good matching primitives, even when the image curves correspond to smooth surface profiles. An iterative scheme for improving camera calibration based on these results is derived, and performance demonstrated on real data.

引用

页码：45 / 50

页数：6

共 6 条

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