基于偏振双目视觉的无纹理高反光目标三维重构
Received:December 31, 2016  Revised:April 17, 2017  点此下载全文
引用本文:平茜茜,刘勇,董欣明,赵永强,张艳.基于偏振双目视觉的无纹理高反光目标三维重构[J].Journal of Infrared and Millimeter Waves,2017,36(4):432~438
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Author NameAffiliationE-mail
PING Xi-Xi College of Automation, Northwestern Polytechnical University pingxixiyouxiang@163.com 
LIU Yong College of Automation, Northwestern Polytechnical University  
DONG Xin-Ming College of Automation, Northwestern Polytechnical University  
ZHAO Yong-Qiang College of Automation, Northwestern Polytechnical University zhaoyq@nwpu.edu.cn 
ZHANG-Yan College of Automation, Northwestern Polytechnical University  
基金项目:国家自然科学基金资助项目(61371152)
中文摘要:对于表面光滑、纹理单一甚至缺失、高反光的目标,传统的三维重构方法由于对纹理以及反光特性的依赖会使得重构表面出现大面积的的数据空洞。而基于偏振的三维重构方法不依赖于物体表面的纹理信息,同时偏振成像能够在一定程度上抑制耀光,能够有效解决传统三维重构方法存在的问题。但是,基于偏振视觉的三维重构方法得到的是像素坐标系下的深度信息,因此提出了偏振双目视觉三维重构方法,以由双目立体视觉获得的少量特征点的世界三维坐标为“桥梁”,利用双目立体标定得到的相机参数,将偏振得到的图像像素坐标系下的点云数据转化为世界坐标系下的绝对数据。
中文关键词:三维重构 无纹理目标 偏振 双目立体视觉
 
3-D reconstruction of textureless and high-reflective target by polarization and binocular stereo vision
Abstract:For high reflective targets with smooth surface,single or even none texture,a large area of data void may appear on the reconstruction surface since the traditional three-dimensional reconstruction method depending on texture and reflective characteristic.While three-dimensional reconstruction method based on polarization vision does not rely on the texture information on the surface of objects,and the polarization imaging can restrain highlight to a certain extent,which can effectively solve the problems existing in the traditional three-dimensional reconstruction method.However,the depth information obtained by three-dimensional reconstruction method based on polarization vision is under pixel coordinates.Therefore,polarization and binocular three-dimensional reconstruction method is put forward,taking absolute three-dimensional coordinate of a few feature points obtained by binocular stereo vision as the “bridge”,using the camera parameters obtained by binocular calibration to transform the point cloud data acquired by polarization in image pixel coordinates into absolute data in world coordinates.
keywords:3D reconstruction  Texture absence  Polarization  Binocular stereo vision
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