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
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalized Principal Component Analysis (GPCA)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear Mean Shift for Clustering over Analytic Manifolds
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
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
Automatic Estimation of the Inlier Threshold in Robust Multiple Structures Fitting
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Accelerated hypothesis generation for multi-structure robust fitting
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Photo-consistent planar patches from unstructured cloud of points
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Efficient multi-structure robust fitting with incremental top-k lists comparison
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Combining plane estimation with shape detection for holistic scene understanding
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Planar roof surface segmentation using 3D vision
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Energy-Based Geometric Multi-model Fitting
International Journal of Computer Vision
Multi-scale clustering of frame-to-frame correspondences for motion segmentation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Contraction moves for geometric model fitting
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Real-time plane segmentation and obstacle detection of 3d point clouds for indoor scenes
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Viewpoint invariant matching via developable surfaces
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Interactive object modelling based on piecewise planar surface patches
Computer Vision and Image Understanding
OpenSurfaces: a richly annotated catalog of surface appearance
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
BlueFinder: recommending wikipedia links using DBpedia properties
Proceedings of the 5th Annual ACM Web Science Conference
Editor's Choice Article: Image-consistent patches from unstructured points with J-linkage
Image and Vision Computing
A simultaneous sample-and-filter strategy for robust multi-structure model fitting
Computer Vision and Image Understanding
Hierarchical camera auto-calibration for traffic surveillance systems
Expert Systems with Applications: An International Journal
Corisco: Robust edgel-based orientation estimation for generic camera models
Image and Vision Computing
Demisting the Hough Transform for 3D Shape Recognition and Registration
International Journal of Computer Vision
Automatic detection of calibration grids in time-of-flight images
Computer Vision and Image Understanding
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This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual data representation. Each point is represented with the characteristic function of the set of random models that fit the point. A tailored agglomerative clustering, called J-linkage, is used to group points belonging to the same model. The method does not require prior specification of the number of models, nor it necessitate parameters tuning. Experimental results demonstrate the superior performances of the algorithm.