摘要
为保护与传承傩文化与傩面具,构建了一套基于移动端的傩面具增强现实系统。通过快速建模工作流、贴图纹理优化与特征增强算法,实现了傩面具的逼真还原。采用改进的ORB算法对图像特征点检测和匹配,并利用EPn P算法快速匹配当前视角接近的参考图像,确定虚拟模型在真实场景下显示的位置方向。提出的方法,能够在实际场景中对傩面具进行高仿真三维渲染与管理,并完成了移动增强现实系统在安卓手机上的验证,满足了移动性、精确性和实时性的要求。
In order to protect and inherit the Nuo culture and masks, a set of enhanced reality system of Nuo masks based on the mobile end is constructed. Through fast modeling workflow, texture optimization and feature enhancement algorithm, the realistic restoration of Nuo masks is realized. The improved ORB algorithm is used to detect and match the image feature points. With the EPnP algorithm, refinance images close to the current perspective are quickly matched, and the location of the virtual model in the real fusion reality is determined. The proposed approach can realize a high -fidelity 3 D rendering and management of Nuo masks in the actual scene and complete the mobile augmented reality system validation on android phones, satisfying the requirements of mobility, accuracy and real time.
作者
王磊
王存睿
白海娟
WANG Lei;WANG Cun-rui;BAI Hai-juan(School of Computer Science and Engineering;Dalian Key Lab of Digital Technology-for National Culture,Dalian Minzu University,Dalian Liaoning 116605,China)
出处
《大连民族大学学报》
2018年第5期445-450,共6页
Journal of Dalian Minzu University
基金
赛尔网络下一代互联网技术创新项目(NGII2017419,NGII20170631)
关键词
傩面具
数字化保护
特征提取
增强现实
Nuo mask
digital protection
feature extraction
augmented reality