测绘学报 ›› 2023, Vol. 52 ›› Issue (8): 1305-1316.doi: 10.11947/j.AGCS.2023.20220439

• 摄影测量学与遥感 • 上一篇    下一篇

多视角翻转拍摄物体的完整三维重建

雷臻1,2,3, 张帆1,2,3, 向瀚宇1,2,3, 杨冲1,3, 黄先锋1,2,3   

  1. 1. 武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430079;
    2. 武汉大学文化遗产智能计算实验室, 湖北 武汉 430079;
    3. 武汉大势智慧科技有限公司, 湖北 武汉 430070
  • 收稿日期:2022-07-10 修回日期:2023-05-22 发布日期:2023-09-07
  • 通讯作者: 黄先锋 E-mail:huangxf@whu.edu.cn
  • 作者简介:雷臻(1997-),女,硕士生,研究方向为三维重建。E-mail:leiazhen@whu.edu.cn
  • 基金资助:
    国家重点研发计划(2020YFC1523003;2020YFC1522703);中央高校自主科研项目(2042022dx0001)

Multiple view complete 3D model reconstruction of manually turned object

LEI Zhen1,2,3, ZHANG Fan1,2,3, XIANG Hanyu1,2,3, YANG Chong1,3, HUANG Xianfeng1,2,3   

  1. 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    2. Intelligent Computing of Cultural Heritage Laboratory, Wuhan University, Wuhan 430079, China;
    3. Wuhan Daspatial Technology Co., Ltd., Wuhan 430070, China
  • Received:2022-07-10 Revised:2023-05-22 Published:2023-09-07
  • Supported by:
    The National Key Research and Development Program of China (Nos. 2020YFC1523003; 2020YFC1522703); The Fundamental Research Funds for the Central Universities (No. 2042022dx0001)

摘要: 为解决近景摄影测量中物体翻转拍摄导致的前后景图像不一致而引起的空三解算失败、物体模型变形、破损、背景干扰等问题,本文提出了一种基于物体翻转判断和影像分组的完整三维重建方法,讨论了旋转单位四元数的分布模式与物体翻转的关联性,并以此实现了影像分组。基于分组结果,利用同名点匹配的几何一致性约束去除影像中背景部分的干扰,对物体区域进行重建,得到了准确的空三结果和完整的网格模型。试验表明,本文方法能有效地提升相对于背景发生翻转变化的物体三维模型重建的完整性和准确性,具有显著效果。

关键词: 近景摄影测量, 物体翻转, 完整三维模型, 影像分组, 旋转单位四元数

Abstract: In close-range photogrammetry, manually turning objects and taking highly overlapping images from multiple views is significant to complete 3D model reconstruction. However, the background of the images is inconsistent with the object in the process of turning, leading to the failure of bundle adjustment, and the deformation and incompleteness of object models. This paper proposes a complete 3D reconstruction method based on multi-view geometric consistency. We analyze the distribution pattern of rotation unit quaternion to judge whether the object is turned in the image pair and group the images. Based on the grouping results and the geometric consistency of feature point matching, we reconstruct object regions without the interference in the background of the images, improving the precision of aerial triangulation and obtaining complete mesh models. Experiments show that our method could improve the accuracy and completeness of 3D models effectively when the object has been overturned.

Key words: close-range photogrammetry, manually turned object, complete 3D model, image grouping, rotation unit quaternion

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