福州大学学报（自然科学版）2017，Vol.45Issue(1)：86-90,5.DOI:10.7631/issn.1000-2243.2017.01.0086
优化特征检测的三维重建算法
3D reconstruction algorithm based on an improved feature point detection method
摘要
Abstract
This paper presents an adaptive 3D reconstruction algorithm based on an improved feature point detection method.The optimization method is based on the Harris operator as the basis.In this article,we firstly separate the Harris operator's response matrix into blocks.Then we compare the maximum response value in each block with the mean response value of the response matrix.Finally,we select the feature points in different situations.In this way,we solve the problem of how to set the appropriate threshold.The cluster phenomenon of feature points is relieved.And there are fewer holes in the results of the 3D reconstruction.The time of the reconstruction is also saved.The experiment results indicate that our method is effective.关键词
三维重建/多视角/特征点检测/Harris算子Key words
3D reconstruction/multiple views/feature detection/Harris operator分类
信息技术与安全科学引用本文复制引用
姜宇航,王美清,黄陈思..优化特征检测的三维重建算法[J].福州大学学报（自然科学版）,2017,45(1):86-90,5.基金项目
国家青年科学基金资助项目(61401098) （61401098）
福州大学育苗基金资助项目(600916) （600916）
