3D building model retrieval for point cloud modeling

Po Chi Hsu, Jyun Yuan Chen, Chao-Hung Lin

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Based on the concept of data reuse and data sharing, a 3D building model retrieval approach is proposed to reconstruct point clouds for cyber city modeling and updating. Thanks to age of Web 2.0, an increasing number of models are available on the website like Google Warehouse. A huge database with a great diversity can be easily constructed from the open sources of these platforms. We aim to build a 3D building model search engine for the demand of following application such as quick modeling instead of those with large time-consuming. Spherical harmonics function is chosen as the shape-descriptor to parameterize the models in low frequency domain. The most similar model can be extracted by matching the parameterized spherical harmonic coefficients between models and input data. Point cloud data obtained by airborne LiDAR is inputted as query to search the similar models from database. Properties of point cloud data with incompleteness and noise is also a challenge to this research. A set of data preprocessing procedures will be executed to optimize the retrieval result. The experiment results show the possibility and flexibility of proposed algorithm to effectively retrieve the fittest model from database.

原文English
主出版物標題32nd Asian Conference on Remote Sensing 2011, ACRS 2011
頁面2243-2248
頁數6
出版狀態Published - 2011 十二月 1
事件32nd Asian Conference on Remote Sensing 2011, ACRS 2011 - Tapei, Taiwan
持續時間: 2011 十月 32011 十月 7

出版系列

名字32nd Asian Conference on Remote Sensing 2011, ACRS 2011
4

Other

Other32nd Asian Conference on Remote Sensing 2011, ACRS 2011
國家Taiwan
城市Tapei
期間11-10-0311-10-07

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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