Abstract
The three-dimensional reconstruction of outdoor landscape is of great significance for the construction of digital city. With the rapid development of big data and Internet of things technology, when using the traditional image-based 3D reconstruction method to restore the 3D information of objects in the image, there will be a large number of redundant points in the point cloud and the density of the point cloud is insufficient. Based on the analysis of the existing three-dimensional reconstruction technology, combined with the characteristics of outdoor garden scene, this paper gives the detection and extraction methods of relevant feature points and adopts feature matching and repairing the holes generated by point cloud meshing. By adopting the candidate strategy of feature points and adding the mesh subdivision processing method, an improved PMVS algorithm is proposed and the problem of sparse point cloud in 3D reconstruction is solved. Experimental results show that the proposed method not only effectively realizes the three-dimensional reconstruction of outdoor garden scene, but also improves the execution efficiency of the algorithm on the premise of ensuring the reconstruction effect.
Highlights
With the rapid development of big data and Internet of things technology, geographic information system and digital city have developed rapidly [1, 2]. e application of 3D scene modeling technology in digital city construction engineering is becoming more and more important. 3D reconstruction has always been a research hotspot in computer vision and other related fields [3,4,5]
It can be obtained by 3D laser scanning technology [6]. is method is greatly affected by the outdoor environment and can not obtain the target texture information
The 3D reconstruction method based on image feature points does not have many limitations of the above modeling methods [7, 8]
Summary
With the rapid development of big data and Internet of things technology, geographic information system and digital city have developed rapidly [1, 2]. e application of 3D scene modeling technology in digital city construction engineering is becoming more and more important. 3D reconstruction has always been a research hotspot in computer vision and other related fields [3,4,5]. Ere are many ways for people to obtain the three-dimensional information of objects, such as the traditional geometric modeling technology, which requires a good professional level and a large workload. 3D laser scanning technology can efficiently obtain the point cloud of model and scene, and the accuracy is relatively high This method usually can not obtain the texture information of the target, and this method is greatly affected by the environment, especially in the outdoor open scene [17]. Compared with these methods, imagebased 3D reconstruction technology needs simpler equipment and can obtain accurate and realistic models. The optimized and improved 3D reconstruction process is integrated into the 3D reconstruction system of outdoor garden scene design
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