Fast Monocular Visual Odometry for Augmented Reality on Smartphones

被引:5
作者
Cao, Mingwei [1 ]
Zheng, Liping [2 ]
Jia, Wei [1 ]
Liu, Xiaoping [2 ]
机构
[1] Hefei Univ Technol, Anhui Prov Key Lab Ind Safety & Emergency Technol, Hefei, Peoples R China
[2] Hefei Univ Technol, Sch Comp Sci & Informat Engn, Hefei, Peoples R China
基金
中国博士后科学基金;
关键词
Cameras; Feature extraction; Trajectory; Visual odometry; Augmented reality; Smart phones; Odometry;
D O I
10.1109/MCE.2020.2993086
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In the past decade, visual odometry has made great progress due to the development of computer vision technology. However, the existing methods are mainly designed for vehicles rather than mobile devices because of their high computational cost. To address the problem, in this article, a fast visual odometry system is proposed for smartphones, the presented system called FastVO. The FastVO consists of feature tracking, relative pose estimation, and trajectory construction. Experiments conducted on both the benchmarking dataset and the real scenes are provided to demonstrate the effectiveness of the presented visual odometry system.
引用
收藏
页码:78 / 84
页数:7
相关论文
共 13 条
[1]  
[Anonymous], 2009, P INT C COMP VIS THE
[2]   Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution [J].
Bailo, Oleksandr ;
Rameau, Francois ;
Joo, Kyungdon ;
Park, Jinsun ;
Bogdan, Oleksandr ;
Kweon, In So .
PATTERN RECOGNITION LETTERS, 2018, 106 :53-60
[3]  
Havlena M, 2014, LECT NOTES COMPUT SC, V8691, P46, DOI 10.1007/978-3-319-10578-9_4
[4]   An LBP encoding scheme jointly using quaternionic representation and angular information [J].
Lan, Rushi ;
Lu, Huimin ;
Zhou, Yicong ;
Liu, Zhenbing ;
Luo, Xiaonan .
NEURAL COMPUTING & APPLICATIONS, 2020, 32 (09) :4317-4323
[5]   Prior Knowledge-Based Probabilistic Collaborative Representation for Visual Recognition [J].
Lan, Rushi ;
Zhou, Yicong ;
Liu, Zhenbing ;
Luo, Xiaonan .
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (04) :1498-1508
[6]   MODS: Fast and robust method for two-view matching [J].
Mishkin, Dmytro ;
Matas, Jiri ;
Perdoch, Michal .
COMPUTER VISION AND IMAGE UNDERSTANDING, 2015, 141 :81-93
[7]   An efficient solution to the five-point relative pose problem [J].
Nistér, D .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2004, 26 (06) :756-770
[8]  
Nister D., 2004, P IEEE COMP SOC C, V651
[9]   Visual SLAM and Structure from Motion in Dynamic Environments: A Survey [J].
Saputra, Muhamad Risqi U. ;
Markham, Andrew ;
Trigoni, Niki .
ACM COMPUTING SURVEYS, 2018, 51 (02)
[10]   Visual Odometry Part I: The First 30 Years and Fundamentals [J].
Scaramuzza, Davide ;
Fraundorfer, Friedrich .
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2011, 18 (04) :80-92