Applications of 3D city models: state of the art review, Predicted (Pred.) errors compared toReferences 1. Biljecki, vol.5, pp.2842-2889, 2015. ,
A survey of urban reconstruction, EUROGRAPHICS 2012 State of the Art Reports XX, pp.1-28, 2012. ,
DOI : 10.1111/cgf.12077
URL : http://repository.kaust.edu.sa/kaust/bitstream/10754/565947/1/2013.CGF.Musialski.UrbanSurvey.HighRes.pdf
Results of the ISPRS benchmark on urban object detection and 3D building reconstruction, ISPRS Journal of Photogrammetry and Remote Sensing, vol.93, pp.256-271, 2014. ,
Modelling and interpretation of architecture from several images, International Journal of Computer Vision, vol.60, issue.2, pp.111-134, 2004. ,
DOI : 10.1023/b:visi.0000029665.07652.61
URL : http://cms.brookes.ac.uk/staff/PhilipTorr/Papers/Ard thesis/thesis.pdf
CityGML: Interoperable access to 3D city models, Geo-information for disaster management, pp.883-899, 2005. ,
DOI : 10.1007/3-540-27468-5_63
URL : http://www.citygml.org/fileadmin/citygml/docs/Gi4Dm_2005_Kolbe_Groeger.pdf
An improved LOD specification for 3D building models, Computers, Environment and Urban Systems, vol.59, pp.25-37, 2016. ,
DOI : 10.1016/j.compenvurbsys.2016.04.005
URL : https://repository.tudelft.nl/islandora/object/uuid%3A2d49a066-4e79-4608-b31f-bce54d92d0b5/datastream/OBJ/download
LoD generation for urban scenes, ACM Transactions on Graphics, vol.34, p.30, 2015. ,
DOI : 10.1145/2732527
URL : https://hal.archives-ouvertes.fr/hal-01113078
Fusion of feature-and area-based information for urban buildings modeling from aerial imagery, European Conference on Computer Vision, 2008. ,
Structural approach for building reconstruction from a single DSM, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.1, pp.135-147, 2010. ,
DOI : 10.1109/tpami.2008.281
URL : https://hal.archives-ouvertes.fr/inria-00503136
Automatic building reconstruction from a Digital Elevation Model and cadastral data: an operational approach. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.36, issue.3, pp.142-147, 2006. ,
From DSM To 3D building models: a quantitative evaluation. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp.213-219, 2013. ,
Accuracy of 3d city models: Eurosdr comparison. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.36, issue.3, pp.227-232, 2005. ,
Manhattan-world urban reconstruction from point clouds, European Conference on Computer Vision, 2016. ,
DOI : 10.1007/978-3-319-46493-0_4
URL : http://repository.kaust.edu.sa/kaust/bitstream/10754/622215/1/2016.ECCV.Minglei.Manhattan.pdf
Polyfit: Polygonal surface reconstruction from point clouds, International Conference on Computer Vision, 2017. ,
DOI : 10.1109/iccv.2017.258
URL : http://repository.kaust.edu.sa/kaust/bitstream/10754/627151/1/2017.ICCV.Liangliang.PolyFit.pdf
Modeling urban scenes from pointclouds, International Conference on Computer Vision, 2017. ,
DOI : 10.1109/iccv.2017.414
A benchmark for surface reconstruction, ACM Transactions on Graphics, vol.32, issue.2, p.20, 2013. ,
DOI : 10.1145/2451236.2451246
val3dity: validation of 3D GIS primitives according to the international standards, Open Geospatial Data, Software and Standards, vol.3, issue.1, p.1, 2018. ,
Active learning for piecewise planar 3d reconstruction, Conference on Computer Vision and Pattern Recognition, 2011. ,
DOI : 10.1109/cvpr.2011.5995638
Geometric change detection in urban environments using images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.37, issue.11, pp.2193-2206, 2015. ,
DOI : 10.1109/tpami.2015.2404834
Crowdsourcing in computer vision, Foundations and Trends in Computer Graphics and Vision, vol.10, issue.3, pp.177-243, 2016. ,
DOI : 10.1561/0600000071
URL : http://arxiv.org/pdf/1611.02145
Towards automatic vandalism detection in openstreetmap, ISPRS International Journal of Geo-Information, vol.1, issue.3, pp.315-332, 2012. ,
DOI : 10.3390/ijgi1030315
URL : http://www.mdpi.com/2220-9964/1/3/315/pdf
Recognition and reconstruction of buildings from multiple aerial images, Computer Vision and Image Understanding, vol.90, issue.1, pp.68-98, 2003. ,
DOI : 10.1016/s1077-3142(03)00027-4
A multicriteria evaluation method for 3D building reconstruction, IEEE Geoscience and Remote Sensing Letters, vol.11, issue.9, pp.1619-1623, 2014. ,
Quality assessment of 3D building data, The Photogrammetric Record, vol.25, issue.132, pp.339-355, 2010. ,
DOI : 10.1111/j.1477-9730.2010.00598.x
Creating large-scale city models from 3D-point clouds: a robust approach with hybrid representation, International Journal of Computer Vision, vol.99, issue.1, pp.69-85, 2012. ,
DOI : 10.1007/s11263-012-0517-8
URL : https://hal.archives-ouvertes.fr/hal-00759265
A supervised classification approach towards quality self-diagnosis of 3D building models using digital aerial imagery. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.36, issue.3, pp.136-141, 2006. ,
Quality evaluation of 3D city building models with automatic error diagnosis. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp.161-166, 2013. ,
DOI : 10.5194/isprsarchives-xl-7-w2-161-2013
URL : https://hal.archives-ouvertes.fr/hal-01206871
On the quality of object classification and automated building modeling based on laser scanning data. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.34, p.13, 2003. ,
Quality measures for building reconstruction from airborne laser scanner data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVIII, pp.198-203, 2010. ,
3D building detection and modeling from aerial LIDAR data, Conference on Computer Vision and Pattern Recognition, 2006. ,
DOI : 10.1109/cvpr.2006.12
2.5D building modeling by discovering global regularities, Conference on Computer Vision and Pattern Recognition, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-01549533
3D building reconstruction with parametric roof superstructures, International Conference on Image Processing, 2007. ,
A Framework for Automatic Modeling from Point Cloud Data, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.11, pp.2563-2575, 2013. ,
DOI : 10.1109/tpami.2013.64
Building outline extraction from digital elevation models using marked point processes, International Journal of Computer Vision, vol.72, issue.2, pp.107-132, 2007. ,
DOI : 10.1007/s11263-005-5033-7
Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001. ,
Decision forests for computer vision and medical image analysis, 2013. ,