Lucas-Kanade Optical Flow Based Camera Motion Estimation Approach

被引：0

作者：

Meng, Zelin ^{[1
]}

Kong, Xiangbo ^{[1
]}

Meng, Lin ^{[1
]}

Tomiyama, Hiroyuki ^{[1
]}

机构：

[1] Ritsumeikan Univ, Grad Sch Sci & Engn, Kusatsu, Japan

来源：

2019 INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC) | 2019年

关键词：

computer vision; feature extraction; feature tracking; motion estimation;

D O I：

10.1109/isocc47750.2019.9027696

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an alternative of our previously proposed lightweight camera motion estimation method based on descriptor matching. First, based on the FAST feature and Lucas-Kanade Optical flow approach, we obtain tracked feature point pairs of two frames of input image. Secondly, according to the obtained pixel coordinates of the tracking point pairs, the motion of the camera can be estimated by the epipolar geometry method. The experiment results indicate that our proposed work can provide a 25% improvement in time-efficiency relative to our previous work So that it can have higher suitability and possibility of implementation in low-power computing platforms.

引用

页码：77 / 78

页数：2