摘要
基于多视图的三维重建的特征点检测与匹配能力较差,通常使用的Harris、SIFT算法所能检测和匹配的特征点较少,误匹配的特征点数量较多。因此,提出了基于Bicular算法的自适应尺度优化结合Harris算法改进Asift算法,将改进算法BH-Asift(Bicular Harris-Asift)运用到基于PMVS的多视图三维重建系统中,改进后的算法特征点检测与匹配能力较强,生成的最终三维模型更加真实。
The feature point detection and matching ability of multi-view-based three-dimensional reconstruction are poor, and the commonly used Harris and SIFT algorithms can detect and match fewer feature points, and the number of incorrectly matched feature points is large. Combining the adaptive scaling optimization algorithm based on Bicular algorithm with Harris algorithm to improve the Asift algorithm is proposed. The improved algorithm BH-Asift（Bicular Harris-Asift） is applied to the multi-view 3 D reconstruction system based on PMVS. The improved algorithm has stronger ability of feature points detection and matching, and the final 3 D model generated is more realistic.
作者
普阳光
Pu Yangguang(College of Computer and Information Engineering,Henan Universit;Kaifeng,Henan 475000,China)
出处
《计算机时代》
2018年第6期69-71,共3页
Computer Era
基金
国家科技支撑计划课题"重大历史事件时空关联信息的虚拟仿真技术及其支撑平台"(2015BAK01B06)
关键词
多视图三维重建
特征点检测与匹配
Asift算法
自适应尺度优化
multi-view 3D reconstruction
feature point detection and matching
Asift algorithm
adaptive scaling optimization
