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Scale invariant features extraction for stereo vision

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成果类型:
期刊论文
作者:
Liu Li*;Peng Fuyuan;Tian Yan;Wan Yaping
通讯作者:
Liu Li
作者机构:
[Liu Li; Peng Fuyuan; Tian Yan] Huazhong Univ Sci & Technol, Dept Telecommun, Wuhan 430074, Peoples R China.
[Wan Yaping; Liu Li] Nanhua Univ, Dept Comp Sci & Technol, Hengyang 421001, Peoples R China.
通讯机构:
[Liu Li] H
Huazhong Univ Sci & Technol, Dept Telecommun, Wuhan 430074, Peoples R China.
语种:
英文
关键词:
pyramid matching;scale invariant;Harris corners;characteristics scale
关键词(中文):
立体视觉;特征提取;金字塔式;特征检测;组成部分;三维重建;目标跟踪;提取方法
期刊:
系统工程与电子技术(英文版)
ISSN:
1004-4132
年:
2009
卷:
20
期:
1
页码:
50-54
基金类别:
This project was supported by the Development Program of China and the National Science Foundation Project (60475024) and National High Technology Research (2006AA09Z203).
机构署名:
本校为其他机构
院系归属:
计算机科学与技术学院
摘要:
Stable local feature detection is a fundamental component of many stereo vision problems such as 3-D reconstruction, object localization, and object tracking. A robust method for extracting scale-invariant feature points is presented. First, the Harris corners in three-level pyramid are extracted. Then, the points detected at the highest level of the pyramid are correctly propagated to the lower level by pyramid based scale invariant (PBSI) method. The corners detected repeatedly in different levels are chosen as final feature points. Finally, the characteristic scale is obtained based on maxi...

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