Line feature based man-made object recognition with invariance

被引：2
|
作者：
Wei H. [1 ]
Qiu Z.-Y. [1 ]
机构：
[1] Cognitive Model and Algorithm Laboratory, School of Computer Science and Technology, Fudan University
来源：
Jisuanji Xuebao/Chinese Journal of Computers | 2010年 / 33卷 / 06期
关键词：
Feature matching; Hypothesis and test; Line features; Man-made object recognition; Plane homography;
D O I：
10.3724/SP.J.1016.2010.01088
中图分类号：
学科分类号：
摘要：
The traditional three-dimensional object recognition method based on hypothesis and test needs to solve the coordinate transformation matrix from scene to model through a group of non-linear equations. Therefore, it has a very high complexity. This paper presents a man-made object recognition method based on the geometric feature of line characteristics, and disperses the overall coordinate transformation calculation in every local Plane Homography calculation, reduces the complexity of the solution. Its process: firstly pre-match the feature points using geometric invariants, then assume and solve the Plane Homography matrix between scenes to model. After that it matches the line segments on the homography plane, and by this verifies the assumption. Experiments prove that this method can rapidly and accurately identify man-made objects with coplanar line features.
引用
收藏
页码：1088 / 1099
页数：11
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