Paper Info
Title
3D modeling of haussmannian facades
Abstract
Urban modeling has attracted many attentions since Google and Microsoft have launched their 3D geo softwares. However, in order to achieve photo-realistic results at the same level as for the latest interactive video games for high-end applications, less effort has been made to automate urban objects recognition and reconstruction. This paper consists of the automation of image-based Haussmannian facade recognition and reconstruction. The input image is firstly rectified and segmented in order to obtain a rectangular and less distorted facade image extracted from urban scenes. Then based upon various visual features and architectural knowledge, different facade elements which include windows, doors and balconies are detected including positions and also measured sizes. Combined with the depth information computed from 3D range data, the facade geometries and textures can be produced. Finally, an analysis-synthesis approach is used to reconstruct the full 3D facade representation. The processing pipeline developed for this research has also been verified and tested on various Parisian facades and confirmed the desired recognition and reconstruction results.
Year
DOI
Venue
2011
10.1007/978-3-642-24136-9_2
MIRAGE
Keywords
Field
DocType
different facade element,urban scene,haussmannian facade,urban objects recognition,facade geometries,reconstruction result,urban modeling,various parisian facade,image-based haussmannian facade recognition,distorted facade image,facade representation
Distortion (optics),Interactive video,Computer vision,Computer science,Automation,Artificial intelligence,Urban modeling,Facade,3D modeling,Doors
Conference
Volume
ISSN
Citations 
6930
0302-9743
1
PageRank 
References 
Authors
0.38
8
2
Name
Order
Citations
PageRank
Chun Liu110.38
André Gagalowicz226066.69