Component-aware semantic modeling of architectures from a single image

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper advocates a new component-aware framework to reconstruct 3D architecture from a single image. Different from existing work, our motivation is to obtain a complete set of semantically-correct 3D architectural components, which enables part reusability towards rapid model reproduction and facilitate model variation. The core of our system is a novel algorithm to adaptively segment repeated curved stripes (e.g., roof tiles, building floors) into individual elements, based on which 3D dimensions as well as architectural components are derived from a single image. Specially for Chinese architectures, we further devise an interactive method to identify outer columns based on user-specified inner columns. Finally, 3D components are generated and shape rules are derived, from which the buildings and their variants are constructed. Our new component-aware framework emphasizes component utility during rapid 3D architecture reproduction.

Original languageEnglish
Title of host publication21st Pacific Conference on Computer Graphics and Applications, PG 2013 - Short Papers
EditorsBruno Levy, Xin Tong, KangKang Yin
PublisherIEEE Computer Society
Pages53-58
Number of pages6
ISBN (Electronic)9783905674507
DOIs
StatePublished - 2013
Event21st Pacific Conference on Computer Graphics and Applications, PG 2013 - Singapore, Singapore
Duration: 7 Oct 20139 Oct 2013

Publication series

NameProceedings - Pacific Conference on Computer Graphics and Applications
Volume2013-October
ISSN (Print)1550-4085

Conference

Conference21st Pacific Conference on Computer Graphics and Applications, PG 2013
Country/TerritorySingapore
CitySingapore
Period7/10/139/10/13

Fingerprint

Dive into the research topics of 'Component-aware semantic modeling of architectures from a single image'. Together they form a unique fingerprint.

Cite this