Fast image mosaic algorithm based on offline calibration

Guo-dong YU; Chun-yang WANG; Xiao-ye LAN; Peng-yu XU; Yue ZHANG; Xiao-chen LIU; Zhong-qi LI

doi:10.37188/CJLCD.2020-0330

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Fast image mosaic algorithm based on offline calibration

Image Processing | 更新时间：2021-09-30

- Fast image mosaic algorithm based on offline calibration
- Chinese Journal of Liquid Crystals and Displays Vol. 36, Issue 10, Pages: 1430-1436(2021)
- 作者机构：
  
  中国人民解放军 63869部队, 吉林白城 137001
- 作者简介：
- 基金信息：
  
  Supported by Military Experimental Technology Research Project
- DOI：10.37188/CJLCD.2020-0330
  CLC： TP391.4
- Received：01 December 2020，
  
  Revised：08 March 2021，
  
  Published：2021-10
- 稿件说明：
移动端阅览
Guo-dong YU, Chun-yang WANG, Xiao-ye LAN, et al. Fast image mosaic algorithm based on offline calibration[J]. Chinese journal of liquid crystals and displays, 2021, 36(10): 1430-1436.
DOI：

Guo-dong YU, Chun-yang WANG, Xiao-ye LAN, et al. Fast image mosaic algorithm based on offline calibration[J]. Chinese journal of liquid crystals and displays, 2021, 36(10): 1430-1436. DOI： 10.37188/CJLCD.2020-0330.

摘要

针对大场景、大视场图像应用和一般图像拼接算法速度慢的问题，采用了基于离线标定的快速图像拼接算法。在实际应用中多台相机位置固定，采用离线标定计算出图像拼接的单应性矩阵，实时拼接中直接加载该矩阵进行计算，从而省去了大量的特征提取和配准时间。在快速图像对齐的基础上，提出了一种基于YUV色彩空间的拉普拉斯金字塔的快速图像融合算法，相对传统拉普拉斯金字塔融合算法有更好的融合效果和更快的速度。实验结果表明，本文算法的图像融合速度是传统传统拉普拉斯图像融合的3倍，满足应用场景中实时图像拼接速度需求，具有良好的图像拼接效果。

Abstract

Aiming at the problem of large scene

large field of view image applications and the slow speed of traditional image stitching algorithms

a fast image stitching algorithm based on offline calibration is adopted. In practical applications

the positions of multiple cameras are fixed

and offline calibration is used to calculate the homography matrix of image-stitching

which saves a lot of feature extraction and registration time. On the basis of fast image alignment

a fast image fusion algorithm based on the Laplacian pyramid of YUV color space is proposed in this paper

and it has better fusion effect and faster speed than the traditional Laplacian pyramid fusion algorithm. Experimental results show that the image fusion speed of the article algorithm is three times that of traditional Laplacian image fusion. The alorithm of this paper can meet the real-time image stitching speed requirements in application scenarios

with good image stitching effects.

关键词

Keywords

references

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