3D model retrieval and assessment for point cloud modeling

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

研究成果: Conference contribution

摘要

Based on the concept of data reuse and data sharing, a 3D model retrieval and assessment approach is proposed to reconstruct point clouds for cyber city modeling and updating. The main idea is to build a gigantic database containing great diversity of 3D building models. The models in database are collected from model-sharing www applications. All the models in the database are encoded by a small set of low-frequency spherical harmonic functions (SHFs). A point cloud obtained by airborne LiDAR is inputted as query to search the similar models from the database. By means of matching the SHFs coefficients between point clouds and 3D models, the most similar model can be efficiently extracted. The extracted model can be used as a template model to fit the point cloud. The experiment results show that the proposed approach can efficiently extract the fittest model from a huge database. This makes the proposed approach feasible to efficiently construct and update 3D city models.

原文English
主出版物標題31st Asian Conference on Remote Sensing 2010, ACRS 2010
頁面1578-1583
頁數6
出版狀態Published - 2010 十二月 1
事件31st Asian Conference on Remote Sensing 2010, ACRS 2010 - Hanoi, Viet Nam
持續時間: 2010 十一月 12010 十一月 5

出版系列

名字31st Asian Conference on Remote Sensing 2010, ACRS 2010
2

Other

Other31st Asian Conference on Remote Sensing 2010, ACRS 2010
國家Viet Nam
城市Hanoi
期間10-11-0110-11-05

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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