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序列全景图像的特征提取与匹配
引用本文:高明,曹洋,方帅. 序列全景图像的特征提取与匹配[J]. 合肥工业大学学报(自然科学版), 2009, 32(4)
作者姓名:高明  曹洋  方帅
作者单位:合肥工业大学,计算机与信息学院,安徽,合肥,230009;中国科学技术大学,自动化系,安徽,合肥,230027
摘    要:为了提高SLAM系统特征提取和匹配的稳定性,文章提出了在全景展开图像的多尺度空间上提取特征的方法.该方法首先对全景图像进行基于虚拟柱面的展开和矫正,然后在此基础上为展开图像建立多尺度空间,最后在多尺度空间内通过Harris特征跟踪器来选择候选特征点,并用Laplace公式选择出在尺度空间范围内具有局部最大值的特征点.这些特征点具有尺度、旋转和光照不变性,并且在有限视角变化下也能保持稳定性.实验证明,这种方法比在未展开图像或展开图像的单尺度空间内提取特征更具稳定性.

关 键 词:虚拟柱面  非线性拟合  尺度空间  Harris  Laplace

A feature selecting and matching method based on unwrapped panoramic images
GAO Ming,CAO Yang,FANG Shuai. A feature selecting and matching method based on unwrapped panoramic images[J]. Journal of Hefei University of Technology(Natural Science), 2009, 32(4)
Authors:GAO Ming  CAO Yang  FANG Shuai
Affiliation:1.School of Computer and Information;Hefei University of Technology;Hefei 230009;China;2.Dept.of Automation;University of Science and Technology of China;Hefei 230027;China
Abstract:In order to improve the stability of feature selecting and matching,a method is proposed to abstract features on the unwrapped panorama's multi-scale space.At first,the panoramic image is unwrapped and rectified based on the virtual cylinder.Then multi-scale space is built for the unwrapped panoramic image.Finally the candidate features are selected by Harris dictator and by Laplace function that decides local maximum features in multi-scale space.Those features have the characteristics of scale invariance,...
Keywords:Harris  Laplace
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