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dc.contributor.authorCheng, Chi-Lien_US
dc.contributor.authorHou, June-Haoen_US
dc.date.accessioned2019-12-13T01:09:15Z-
dc.date.available2019-12-13T01:09:15Z-
dc.date.issued2019-01-01en_US
dc.identifier.isbn978-981-13-8410-3; 978-981-13-8409-7en_US
dc.identifier.issn1865-0929en_US
dc.identifier.urihttp://dx.doi.org/10.1007/978-981-13-8410-3_12en_US
dc.identifier.urihttp://hdl.handle.net/11536/152989-
dc.description.abstractThis paper proposes a method of mesh simplification for 3D terrain or city models generated photogrammetrically from drone captured images, enabled by the ability of extracting the architectural features. Compare to traditional geometric computational method, the proposed method recognizes and processes the features from the architectural perspectives. In addition, the workflow also allows exporting the simplified models and geometric features to open platforms, e.g. OpenStreetMap, for practical usages in site analysis, city generation, and contributing to the open data communities.en_US
dc.language.isoen_USen_US
dc.subjectMesh reconstructionen_US
dc.subjectPhotogrammetryen_US
dc.subjectMesh simplificationen_US
dc.subjectProcedural modeen_US
dc.subjectMachine learningen_US
dc.titleA Method of Mesh Simplification for Drone 3D Modeling with Architectural Feature Extractionen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1007/978-981-13-8410-3_12en_US
dc.identifier.journalCOMPUTER-AIDED ARCHITECTURAL DESIGN: HELLO, CULTURE, CAAD FUTURES 2019en_US
dc.citation.volume1028en_US
dc.citation.spage157en_US
dc.citation.epage167en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000490906500012en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper