SA(2,R) Multi-scale contour registration based on EM Algorithm

被引：1

作者：

Sakrani, Khaoula ^{[1
]}

Elghoul, Sinda ^{[1
]}

Falleh, Sarra ^{[1
]}

Ghorbel, Faouzi ^{[1
]}

机构：

[1] Natl Sch Comp Sci ENSI, CRISTAL Lab, GRIFT Res Grp, Manouba, Tunisia

来源：

2021 INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP) | 2021年

关键词：

Multi-scale registration; special affine transformation; Expectation Maximisation (EM); ACM Algorithm; Affine arc-length parametrization; CURVATURE SCALE-SPACE; SHAPE SIGNATURE; NONRIGID SHAPES; DESCRIPTOR;

D O I：

10.1109/VCIP53242.2021.9675365

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Here we propose a novel affine registration method for planar curves. It is based on a pseudo-inverse algorithm applied to the source and target curves in their multi-scale version. The proposed registration system selects the relevant scales in the optimized L-2 distances. The retrieved smoothing parameters are realized with the Gaussian Expectation-Maximization (EM) algorithm. We resolve the global system, formed by equations corresponding to EM selected scales.

引用

页数：5

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