A spilt-and-merge technique for building shaping

Tee Ann Teo, Jiann-Yeou Rau, Liang Chien Chen, Jin King Liu, Wei Chen Hsu

研究成果: Conference contribution

摘要

This paper presents a scheme for the reconstruction of building models from lidar data and 2D maps by using a split and merge approach. The proposed scheme comprises of three major parts: (1) data preprocessing (2) extraction of building primitive, and (3) building shaping. In the preprocessing, a grid digital surface model and triangulated irregular networks are both generated from the lidar point clouds. The building boundaries are traced to form closed polygons. In the extraction of building primitive, we extract the inner structure lines from lidar data. Then, we split the building polygon into several building primitive by the extracted feature lines. In the building reconstruction, we shape the roof for each building primitive by using lidar point clouds. Finally, we merge all the 3D building primitives to obtain the building models. The proposed method has been tested with the data at Ping-Dong city of south Taiwan. Experimental results indicate that the proposed scheme reaches high fidelity.

原文English
主出版物標題Asian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006
頁面997-1002
頁數6
出版狀態Published - 2006 十二月 1
事件27th Asian Conference on Remote Sensing, ACRS 2006 - Ulaanbaatar, Mongolia
持續時間: 2006 十月 92006 十月 13

出版系列

名字Asian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006

Other

Other27th Asian Conference on Remote Sensing, ACRS 2006
國家/地區Mongolia
城市Ulaanbaatar
期間06-10-0906-10-13

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信

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