Geometric Context from a Single Image
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Procedural modeling of buildings
ACM SIGGRAPH 2006 Papers
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Image-based procedural modeling of facades
ACM SIGGRAPH 2007 papers
IEEE Transactions on Pattern Analysis and Machine Intelligence
A weak structure model for regular pattern recognition applied to facade images
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Discovering texture regularity as a higher-order correspondence problem
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
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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.