Performance Optimization of 3-DOF Application Scene Based on 360-Degree Panoramic Technology with Depth Information

Author:

Wang Qinghua1ORCID,Ma Linjuan2ORCID,Huang Xiaotong1ORCID,Lyu Lan1ORCID,Zhang Fuquan34ORCID

Affiliation:

1. College of Mathematics and Data Science (Software College), Minjiang University, Fuzhou, 350108, China

2. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China

3. College of Computer and Control Engineering, Minjiang University, Fuzhou, 350108, China

4. Digital Media Art, Key Laboratory of Sichuan Province, Sichuan Conservatory of Music, Chengdu, 610021, China

Abstract

High-quality 3D scenes often show poor rendering effect and insufficient operational performance in low-end devices. Therefore, how to make better use of 360-degree panoramic technology and replace the traditional pure model scene by visual deception is of great significance to the picture quality improvement and performance optimization of low-end equipment. In this paper, a three-degree-of-freedom (3-DOF) application scenario for indoor simulation is used as an example. Under the premise of 360-degree panoramic technology, depth information is obtained through laser ranging, converted into a two-dimensional form of depth image with the help of spherical coordinates, and combined with a transparent information image, the depth image is compressed using DEFLATE compression algorithm, and finally be stored. By optimizing the data through bilinear sampling and with the help of geometric knowledge, the occluded parts are removed or translucent according to the actual situation when the graphics are rendered, and the occlusion relationship is correctly handled in order to achieve a real integration of the virtual environment with the 3D objects. Through multiple data, it is shown that the method possesses significant performance improvement while ensuring geometric realism.

Funder

Minjiang University

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3