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多视高分辨率纹理图像与双目三维点云的映射方法

杜瑞建 葛宝臻 陈雷

杜瑞建, 葛宝臻, 陈雷. 多视高分辨率纹理图像与双目三维点云的映射方法[J]. 中国光学(中英文), 2020, 13(5): 1055-1064. doi: 10.37188/CO.2020-0034
引用本文: 杜瑞建, 葛宝臻, 陈雷. 多视高分辨率纹理图像与双目三维点云的映射方法[J]. 中国光学(中英文), 2020, 13(5): 1055-1064. doi: 10.37188/CO.2020-0034
DU Rui-jian, GE Bao-zhen, CHEN Lei. Texture mapping of multi-view high-resolution images and binocular 3D point clouds[J]. Chinese Optics, 2020, 13(5): 1055-1064. doi: 10.37188/CO.2020-0034
Citation: DU Rui-jian, GE Bao-zhen, CHEN Lei. Texture mapping of multi-view high-resolution images and binocular 3D point clouds[J]. Chinese Optics, 2020, 13(5): 1055-1064. doi: 10.37188/CO.2020-0034

多视高分辨率纹理图像与双目三维点云的映射方法

基金项目: 国家自然科学基金项目(No. 61535008)
详细信息
    作者简介:

    杜瑞建(1995—),男,河北唐山人,硕士研究生,2017年于电子科技大学获得学士学位,现就读于天津大学精密仪器与光电子工程学院,攻读光学工程专业硕士学位,主要研究方向为计算机视觉。E-mail: duruijian@tju.edu.cn

    陈 雷(1980—),男,河北唐山人,教授,硕士生导师,2002年、2005年于河北工业大学分别获得学士、硕士学位,2011年于天津大学获得博士学位,现为天津商业大学信息工程学院教授,主要研究方向为智能信号处理,仿生智能计算。E-mail: chenlei@tjcu.edu.cn

  • 中图分类号: TP391

Texture mapping of multi-view high-resolution images and binocular 3D point clouds

Funds: National Natural Science Foundation of China (No. 61535008)
More Information
  • 摘要: 针对双目立体视觉重建点云模型与高分辨率纹理图像的融合问题,本文提出了一种新的纹理映射方法。在双目立体视觉系统上增设长焦纹理相机拍摄高分辨率纹理图像,利用高分辨率纹理图像与双目图像的二维特征匹配,以双目图像为桥梁,得到纹理图像与三维点云模型的匹配关系,进而实现高分辨率纹理图像到三维点云模型的映射。同时,针对映射过程中多视纹理图像重叠部分的数据冗余,提出一种引导线点云数据分区方法,有效解决了多视纹理图像重叠部分的映射问题。通过实验验证,所提方法能够方便准确地实现多视纹理图像与双目三维点云模型的纹理映射。在本文实验条件下,三维模型的纹理可分辨原始线宽为0.157 mm的线对,与双目系统直接产生的三维模型相比,其纹理分辨率提高了1倍,验证了所提出的多视高分辨率纹理映射方法的有效性。

     

  • 图 1  高分辨率纹理三维成像系统结构示意图

    Figure 1.  Structure diagram of 3D imaging system with high-resolution texture

    图 2  双目立体成像测量原理示意图

    Figure 2.  Schematic diagram of binocular stereo imaging measurement

    图 3  纹理映射原理

    Figure 3.  Implementation mechanism of texture mapping

    图 4  引导线选取过程

    Figure 4.  Process of the guide line selection

    图 5  三角网格模型上的分界面

    Figure 5.  The dividing surface on the triangular patch model

    图 6  三相机系统图

    Figure 6.  Diagram of the three-camera system

    图 7  双目系统采集图像

    Figure 7.  The acquired images of the binocular system

    图 8  重建点云及双目左图映射结果

    Figure 8.  Reconstructed point cloud and the mapping results of the binocular left image

    图 9  多视纹理拍摄示意图

    Figure 9.  Schematic diagram of multi-view texture shooting

    图 10  纹理相机拍摄得到的高分辨率纹理图像

    Figure 10.  High-resolution texture images obtained by the texture camera

    图 11  多视高分辨率图像纹理映射结果

    Figure 11.  Texture mapping results of multi-view high-resolution images

    图 12  纹理图像映射结果的局部效果

    Figure 12.  Local effects of mapping results for the texture image

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出版历程
  • 收稿日期:  2020-03-02
  • 修回日期:  2020-04-08
  • 网络出版日期:  2020-09-01
  • 刊出日期:  2020-10-01

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