| 3D车载环视全景生成方法 |
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| 引用本文： | 刘冬,秦瑞,陈曦,李庆.3D车载环视全景生成方法[J].计算机科学,2017,44(4):302-305. |
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| 作者姓名： | 刘冬 秦瑞 陈曦 李庆 |
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| 作者单位： | 中国科学院微电子研究所昆山分所 昆山215347;中国科学院物联网研究发展中心 无锡214135,中国科学院微电子研究所昆山分所 昆山215347;中国科学院微电子研究所 北京100871,中国科学院微电子研究所昆山分所 昆山215347;中国科学院物联网研究发展中心 无锡214135,中国科学院微电子研究所 北京100871 |
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| 基金项目： | 本文受移动物联网关键技术与应用(XDA06040300),汽车移动物联网总体技术研究(2012ZX03005018),面向智慧交通的车联网高安全性内容保障技术研究与核心产品研发(2012B0910)资助 |
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| 摘 要： | 通过单应矩阵生成的鸟瞰视角全景图像存在严重的信息损失和边缘模糊形变。为三维空间点加入约束,将其限制在二维空间中,可以实现一幅图像从一个视角唯一变换另一视角。假设3D空间点来自于一个“包裹”车辆的曲面,使得原始摄像头图像上每一点对应的投影线都和曲面有交点,摄像头从不同角度观察曲面和车辆,便可生成多视角全景图像。针对相交区域也进行了特殊处理。最后的实验表明,生成的多视角的全景图像既可以充分利用原始图像信息从不同视角观测车辆周边场景,同时也减少了边缘模糊和扭曲,相交区域的过渡也显得更加自然、平滑。
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| 关 键 词： | 车载环视系统 曲面约束 多视角全景 |
| 收稿时间： | 2015/12/7 0:00:00 |
| 修稿时间： | 2016/3/5 0:00:00 |
Generation of Three-dimention Vehicle Panorama |
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| LIU Dong,QIN Rui,CHEN Xi and LI Qing.Generation of Three-dimention Vehicle Panorama[J].Computer Science,2017,44(4):302-305. |
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| Authors: | LIU Dong QIN Rui CHEN Xi and LI Qing |
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| Affiliation: | Institute of Microelectronics of Chinese Academy of Sciences,Kunshan 215347,China;Chinese Internet of Things Center,Chinese Academy of Sciences,Wuxi 214135,China,Institute of Microelectronics of Chinese Academy of Sciences,Kunshan 215347,China;Institute of Microelectronics,Chinese Academy of Sciences,Beijing 100871,China,Institute of Microelectronics of Chinese Academy of Sciences,Kunshan 215347,China;Chinese Internet of Things Center,Chinese Academy of Sciences,Wuxi 214135,China and Institute of Microelectronics,Chinese Academy of Sciences,Beijing 100871,China |
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| Abstract: | Information loss,image blur and object deformation exist in bird-eye panoramic image generated by homography matrix.Confined 3D point to two-dimensional space,image in a view can transform to another uniquely.We selected a curved surface wrapping the vehicle as selected two-dimensional space.We can get the multi-view panorama image from different perspectives.A special process is also applied to the overlapping region.The final experiment demonstrate that,the multi-view panorama images make use of all the information in the source images,at the same time,image blur and object deformation decreases notably.The overlapping regions appear more naturally and smoothly. |
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| Keywords: | Vehicle around view system Surface constraint Multi-view panorama |
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