VR Panorama Mosaic Algorithm Based on Particle Swarm Optimization and Mutual Information

Zhonggao Yang,Yili Cheng,Dan Xiang

doi:10.1109/access.2020.3007876

Zhonggao Yang, Yili Cheng + Show 1 more

Open Access

https://doi.org/10.1109/access.2020.3007876

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Abstract

With the development of science and technology, Virtual Reality (VR) technology is more and more mature, and has been widely used in real life. In particular, the panorama technology in VR enables users to interact with the objects in the virtual environment in a natural way through the establishment of an artificial three-dimensional virtual environment. so as to get a good experience. Although VR technology has got some maturity, in response to the complex environment and increasing market demand, we put forward higher requirements for VR panorama technology. Panoramic mosaic technology has been studied for a long time at domestically and abroad.. Since the concept of image fusion was put forward, image fusion technology has been developed rapidly. However, the development of image mosaic technology still faces some problems to be studied and these problems were solved. Based on the existing research, present study proposes a VR panoramic image mosaic algorithm based on particle swarm optimization.. The proposed algorithm has the advantages of small computation time, fast splicing speed, high splicing quality, and high splicing confidence. This algorithm is based on particle swarm optimization, combined with the advantages of traditional mutual information algorithm, according to the characteristics of virtual reality imaging, a new model is established. After a large number of comparative experiments, it was found thatproposed method significantly improved the ability of feature region block extraction in VR panoramic image mosaic when compared with the traditional method. At the same time of improving the accuracy, the mapping time is shortened by more than 1 / 3, and the mapping efficiency is improved. Present research work is an innovation of virtual reality panoramic technology.

Highlights

Virtual Reality (VR) technology is a method to simulate the feelings of the space environment to the maximum extent by establishing the three-dimensional virtual environment of artificial structure, in which users interact with objects in the virtual environment naturally
This section is based on the characteristics detection, feature extraction, and feature matching experiment of pso-mutual information algorithm and mutual information algorithm based on the computer vision library of the OpenCV library
The VR panoramic image mosaic algorithm based on particle swarm optimization and mutual information is an innovative technology based on the in-depth study of traditional optimization methods

Summary

Introduction

VR (virtual reality, VR) technology is a method to simulate the feelings of the space environment to the maximum extent by establishing the three-dimensional virtual environment of artificial structure, in which users interact with objects in the virtual environment naturally. Due to its high cost, complex modeling technology and limitations of external display equipment, its application field was limited. The associate editor coordinating the review of this manuscript and approving it for publication was Zhihan Lv. With the popularity of relatively cheap VR head display external equipment and the growing maturity of panoramic image technology and modeling technology, VR has innovative applications in the fields of games, movies, news, real estate sales, and even in the military training. Through VR image technology to simulate and display various environmental elements, the user experiencea real sense of immersive [1]

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