ELLIPSE DETECTION AND MATCHING WITH UNCERTAINTY

被引：45

作者：

ELLIS, T

ABBOOD, A

BRILLAULT, B

机构：

[1] Machine Vision Group, Centre for Information Engineering, City University, London

来源：

IMAGE AND VISION COMPUTING | 1992年 / 10卷 / 05期

关键词：

ELLIPSE FITTING; KALMAN FITTER; MAHALANOBIS DISTANCE; PERCEPTUAL GROUPINGS; MEASUREMENT ERROR; MODEL MATCHING;

D O I：

10.1016/0262-8856(92)90041-Z

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 considers the fitting of ellipses to edge-based pixel data in digital images. It infers the ellipses as projected circles, viewed obliquely, and uses this information to constrain the position, viewpoint and scale of model objects projected into the image. A central theme of the work is the explicit use of uncertainty, which reflects observation errors in the image data, and which is proagated through the model matching stages, providing a consistent and robust representation of errors.

引用

页码：271 / 276

页数：6

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