摘要
目前大部分智能手机在图像采集技术上依然停留在感光、像素等二维水平,但由于二维图像本身包含的信息有限,无法全面展现真实空间环境的位置关系及空间物体的深度信息,很大程度上阻碍了人类对客观世界的感知。利用移动智能终端内置摄像头、传感器件实现对真实环境光学信号的采集及物体运动过程的捕捉,借助与之匹配的操作软件进行数据分析运算,并结合实时获取的位置和方向等综合信息绘制真实世界的3D模型,使得物体的三维轮廓、物理特性将能被充分识别,最终实现在智能终端的显示。3D成像技术在实现对二维像素采集的同时完成了像素景深的叠加,实现了智能三维定位,有效推动了面部识别、机器视觉检测、大数据智能采集等技术的发展。
At present, most of the image acquisition technology of smart phones still stays at the two-dimensional level, such as sensitivity and pixels, while can not fully represent geometric data such as the size of real objects, the details of the surface texture and spatial location relationships, and can not reproduce the depth information in the real world, which hindered human perception of the objective world to a great extent. 3D imaging technology can record the three-dimensional information of the object while collecting the plane graphics, and complete the superposition of the pixel depth on the basis of two-dimensional pixels, so that the smart phone can obtain spatial 3D data and reconstruct the complete real space information. The realization of intelligent three-dimensional positioning has effectively promoted the development of facial recognition, machine vision detection, large data intelligent acquisition and other technologies, and promoted the continuous maturity of AI and AR to achieve seamless human-computer interaction technology.
作者
方伟
FANG Wei(School of Control Science and Engineering,Zhejiang University,Hangzhou,Zhejiang,310000,China;Department of Computer Science and Technology,Huaibei Vocational and Technical College,Huaibei,Anhui,235000,China)
出处
《佳木斯大学学报(自然科学版)》
CAS
2018年第5期769-772,共4页
Journal of Jiamusi University:Natural Science Edition
基金
安徽省高校自然科学研究重点项目(KJ2018A0713)
(KJ2017A527)
安徽省高等学校质量工程项目(2014zjjh058
2015gxk108)
安徽高校优秀青年骨干人才国内访问研修项目(gxgnfx2018108)
关键词
3D成像技术
AR
交互设计
结构光
TOF
双目测距
3D imaging technology
AR
interactive design
structural light
TOF
binocular distance measurement