多视角翻转拍摄物体的完整三维重建

Multiple view complete 3D model reconstruction of manually turned object

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。

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.