基于无标记识别的增强现实方法研究

doi:10.16182/j.issn1004731x.joss.201807022

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (7): 2608-2614.doi: 10.16182/j.issn1004731x.joss.201807022

基于无标记识别的增强现实方法研究

李乾¹, 高尚兵^1,*, 潘志庚^1,2, 张正伟¹, 方澄华¹, 王圣全¹

1. 淮阴工学院计算机与软件工程学院,淮安 223001;
2. 杭州师范大学数字媒体与人机交互研究中心,杭州 311121

收稿日期:2017-06-25 出版日期:2018-07-10 发布日期:2019-01-08
作者简介:李乾(1996-),男,江苏南京,本科生,研究方向为图像处理。
基金资助:
国家自然科学基金(61402192, 61332017),国家重点研发计划(2018YFB1004904), 江苏省六大人才高峰资助项目(XYDXXJS-011), 省333工程资助项目(BRA2016454)

Research on Augmented Reality Method Based on Unmarked Recognition

Li Qian¹, Gao Shangbing^1,*, Pan Zhigeng^1,2, Zhang Zhengwei¹, Fang Chenghua¹, Wang Shengquan¹

1. College of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian 223001, China;
2. Virtual Reality and Human-Computer Interaction Research Center, Hangzhou Normal University, Hangzhou 311121, China

Received:2017-06-25 Online:2018-07-10 Published:2019-01-08

摘要/Abstract

摘要： 增强现实(Augment Reality,AR)作为一种将虚拟物体与现实场景相互叠加的技术,通过虚拟的信息去扩展实际场景的信息量。针对以往AR应用方法上的不足,提出了基于滤波处理优化的无标记识别AR应用实现方法。该算法利用滤波对图像进行预处理优化操作,解决了过去识别算法匹配效果不佳的问题;在二维图像中建立三维模型,并在二维平面上进行模型的渲染。实验结果表明,与以往的匹配算法相比,该方法识别效果提高了10%以上,在匹配效率上有着更明显的优势,而且也有更好的鲁棒性。

关键词: 增强现实, 图像预处理, 特征提取, 目标匹配, 三维构建

Abstract: As a kind of technology of superposing the virtual objects upon reality scene, AR (Augment Reality) expands the information quantity of the actual scene by virtual information. Aiming at the deficiency of previous AR application methods, the AR application method of unmarked recognition based on the optimized filtering was proposed in this paper. In this algorithm, filtering was used for image preprocessing to solve the poor matching efficiency problems of the past recognition algorithms, then three-dimensional model was established in two-dimensional images and the model was rendered in the two-dimensional plane. The experimental results show that, compared with the previous matching algorithms, this method increases the recognition accuracy by more than 10% and has more obvious advantages on matching efficiency. Furthermore, it is more robust.

Key words: augment reality, image preprocessing, feature extraction, object matching, 3D reconstruction

中图分类号:

TP391.9

李乾, 高尚兵, 潘志庚, 张正伟, 方澄华, 王圣全. 基于无标记识别的增强现实方法研究[J]. 系统仿真学报, 2018, 30(7): 2608-2614.

Li Qian, Gao Shangbing, Pan Zhigeng, Zhang Zhengwei, Fang Chenghua, Wang Shengquan. Research on Augmented Reality Method Based on Unmarked Recognition[J]. Journal of System Simulation, 2018, 30(7): 2608-2614.

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基于无标记识别的增强现实方法研究

Research on Augmented Reality Method Based on Unmarked Recognition

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