A Study on Policy Directions of U-City Planning in Busan using System Dynamics Model

Kim, Byeong Sun; Shin, Dong Bin; Kim, Kirl

doi:10.7319/kogsis.2012.20.4.055

Cited by 1 publication

(1 citation statement)

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“…Lim et al, (2019) reported the effects of UAV image quality on the performance of point cloud generation. Stereo-plotting and mapping accuracy of the UAV was recently performed (Kim et al, 2018;Lee et al, 2018) for application in the field of spatial information. In this paper, we report technology developed for automated generation of 3D building models from UAV-driven point clouds and for high quality building texture mapping from UAV images.…”

Section: Introduction 11 Backgroundmentioning

confidence: 99%

Automatic Method for Generating 3d Building Models With Texture From Uav Images

Kim¹,

Yoon²,

Rhee³

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In this paper, we propose a method for automatically generating 3D building models from UAV image based point cloud data and for mapping building texture from UAV images. The proposed method generates dense point clouds from UAV images and isolates points from building areas through a statistical analysis. It then generates solid models as 3D building models by point cloud analysis per building area. Texture for 3D building solid models are created by mapping model face to UAV images. In order to verify the proposed method, various UAV image sets and point clouds were tested. As results, the possibility of generating cluster-type solid building models based on UAV images was confirmed. It is expected that this method can contribute to the active usage of UAV images in 3D spatial information generation. In the future, we plan to conduct research on improving the accuracy of curved building shapes and texturing accuracy.

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Section: Introduction 11 Backgroundmentioning

confidence: 99%