A new curve detection method: randomized Hough transform (RHT)
Pattern Recognition Letters
Bias in Robust Estimation Caused by Discontinuities and Multiple Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution hierarchies on unstructured triangle meshes
Computational Geometry: Theory and Applications - Special issue on multi-resolution modelling and 3D geometry compression
MLESAC: a new robust estimator with application to estimating image geometry
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Reconstructing Polyhedral Models of Architectural Scenes from Photographs
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
An Assessment of Information Criteria for Motion Model Selection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Model-Based Method For Building Reconstruction
HLK '03 Proceedings of the First IEEE International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis
Bayesian Reconstruction of 3D Shapes and Scenes From A Single Image
HLK '03 Proceedings of the First IEEE International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis
Modelling and Interpretation of Architecture from Several Images
International Journal of Computer Vision
Using Geometric Constraints through Parallelepipeds for Calibration and 3D Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Augmentation and Meshing of Sparse 3D Scene Structure
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Optimizing a Triangular Mesh for Shape Reconstruction from Images
IEICE - Transactions on Information and Systems
A random sampling strategy for piecewise planar scene segmentation
Computer Vision and Image Understanding
Image-based procedural modeling of facades
ACM SIGGRAPH 2007 papers
VideoTrace: rapid interactive scene modelling from video
ACM SIGGRAPH 2007 papers
Robust Multiple Structures Estimation with J-Linkage
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
PhotoBuilder -- 3D Models of Architectural Scenes from Uncalibrated Images
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Automatic Estimation of the Inlier Threshold in Robust Multiple Structures Fitting
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Scene modelling from sparse 3D data
Image and Vision Computing
Photo-consistent planar patches from unstructured cloud of points
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Nonparametric estimation of multiple structures with outliers
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
The Random Cluster Model for robust geometric fitting
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
RECON: Scale-adaptive robust estimation via Residual Consensus
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Fast fusion moves for multi-model estimation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
A Patch Prior for Dense 3D Reconstruction in Man-Made Environments
3DIMPVT '12 Proceedings of the 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission
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Going from unstructured cloud of points to surfaces is a challenging problem. However, as points are produced by a structure-and-motion pipeline, image-consistency is a powerful clue that comes to the rescue. In this paper we present a method for extracting planar patches from an unstructured cloud of points, based on the detection of image-consistent planar patches with J-linkage, a robust algorithm for multiple model fitting. The method integrates several constraints inside J-linkage, optimizes the position of the points with regard to image-consistency and deploys a hierarchical processing scheme that decreases the computational load. With respect to previous work this approach has the advantage of starting from sparse data. Several results show the effectiveness of the proposed approach.