Constraint-base lidar point cloud fitting

Yi Chen Chen, Jyun Yuan Chen, Heng Chung Tsao, Chao-Hung Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Airborne Light Detection and Ranging (LiDAR) has the ability of acquiring high-resolution and high-accuracy point clouds. The processing on point clouds has thus become an important research topic and has drawn increasing attention in the fields of remote sensing. An increasing number of 3D building models have been available in the Internet with the development of Web 2.0 techniques and scanning equipment. Many web-based data-sharing platforms, such as Google 3D Warehouse and MakerBot Thingiverse, provide functions for users to upload and share their models. Therefore, a fitting approach is proposed to construct building models using airborne LiDAR data. An iterative approach consists of three main parts, geometric analysis, point cloud segmentation, and model refinement, in proposed the experimental result shows that the proposed approach can generate 3D building models efficiently.

Original languageEnglish
Title of host publication35th Asian Conference on Remote Sensing 2014, ACRS 2014
Subtitle of host publicationSensing for Reintegration of Societies
PublisherAsian Association on Remote Sensing
Publication statusPublished - 2014
Event35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014 - Nay Pyi Taw, Myanmar
Duration: 2014 Oct 272014 Oct 31

Other

Other35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014
CountryMyanmar
CityNay Pyi Taw
Period14-10-2714-10-31

Fingerprint

Optical radar
Warehouses
Remote sensing
Internet
Scanning
Processing

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Chen, Y. C., Chen, J. Y., Tsao, H. C., & Lin, C-H. (2014). Constraint-base lidar point cloud fitting. In 35th Asian Conference on Remote Sensing 2014, ACRS 2014: Sensing for Reintegration of Societies Asian Association on Remote Sensing.
Chen, Yi Chen ; Chen, Jyun Yuan ; Tsao, Heng Chung ; Lin, Chao-Hung. / Constraint-base lidar point cloud fitting. 35th Asian Conference on Remote Sensing 2014, ACRS 2014: Sensing for Reintegration of Societies. Asian Association on Remote Sensing, 2014.
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title = "Constraint-base lidar point cloud fitting",
abstract = "Airborne Light Detection and Ranging (LiDAR) has the ability of acquiring high-resolution and high-accuracy point clouds. The processing on point clouds has thus become an important research topic and has drawn increasing attention in the fields of remote sensing. An increasing number of 3D building models have been available in the Internet with the development of Web 2.0 techniques and scanning equipment. Many web-based data-sharing platforms, such as Google 3D Warehouse and MakerBot Thingiverse, provide functions for users to upload and share their models. Therefore, a fitting approach is proposed to construct building models using airborne LiDAR data. An iterative approach consists of three main parts, geometric analysis, point cloud segmentation, and model refinement, in proposed the experimental result shows that the proposed approach can generate 3D building models efficiently.",
author = "Chen, {Yi Chen} and Chen, {Jyun Yuan} and Tsao, {Heng Chung} and Chao-Hung Lin",
year = "2014",
language = "English",
booktitle = "35th Asian Conference on Remote Sensing 2014, ACRS 2014",
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Chen, YC, Chen, JY, Tsao, HC & Lin, C-H 2014, Constraint-base lidar point cloud fitting. in 35th Asian Conference on Remote Sensing 2014, ACRS 2014: Sensing for Reintegration of Societies. Asian Association on Remote Sensing, 35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014, Nay Pyi Taw, Myanmar, 14-10-27.

Constraint-base lidar point cloud fitting. / Chen, Yi Chen; Chen, Jyun Yuan; Tsao, Heng Chung; Lin, Chao-Hung.

35th Asian Conference on Remote Sensing 2014, ACRS 2014: Sensing for Reintegration of Societies. Asian Association on Remote Sensing, 2014.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Constraint-base lidar point cloud fitting

AU - Chen, Yi Chen

AU - Chen, Jyun Yuan

AU - Tsao, Heng Chung

AU - Lin, Chao-Hung

PY - 2014

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N2 - Airborne Light Detection and Ranging (LiDAR) has the ability of acquiring high-resolution and high-accuracy point clouds. The processing on point clouds has thus become an important research topic and has drawn increasing attention in the fields of remote sensing. An increasing number of 3D building models have been available in the Internet with the development of Web 2.0 techniques and scanning equipment. Many web-based data-sharing platforms, such as Google 3D Warehouse and MakerBot Thingiverse, provide functions for users to upload and share their models. Therefore, a fitting approach is proposed to construct building models using airborne LiDAR data. An iterative approach consists of three main parts, geometric analysis, point cloud segmentation, and model refinement, in proposed the experimental result shows that the proposed approach can generate 3D building models efficiently.

AB - Airborne Light Detection and Ranging (LiDAR) has the ability of acquiring high-resolution and high-accuracy point clouds. The processing on point clouds has thus become an important research topic and has drawn increasing attention in the fields of remote sensing. An increasing number of 3D building models have been available in the Internet with the development of Web 2.0 techniques and scanning equipment. Many web-based data-sharing platforms, such as Google 3D Warehouse and MakerBot Thingiverse, provide functions for users to upload and share their models. Therefore, a fitting approach is proposed to construct building models using airborne LiDAR data. An iterative approach consists of three main parts, geometric analysis, point cloud segmentation, and model refinement, in proposed the experimental result shows that the proposed approach can generate 3D building models efficiently.

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M3 - Conference contribution

BT - 35th Asian Conference on Remote Sensing 2014, ACRS 2014

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Chen YC, Chen JY, Tsao HC, Lin C-H. Constraint-base lidar point cloud fitting. In 35th Asian Conference on Remote Sensing 2014, ACRS 2014: Sensing for Reintegration of Societies. Asian Association on Remote Sensing. 2014