Robust regression and outlier detection
Robust regression and outlier detection
A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Segmentation through Variable-Order Surface Fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Sensitivity of the Hough Transform for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust regression methods for computer vision: a review
International Journal of Computer Vision
Robust Clustering with Applications in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Two-Stage Algorithm for Discontinuity-Preserving Surface Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extracting geometric primitives
CVGIP: Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust methods for estimating pose and a sensitivity analysis
CVGIP: Image Understanding
Computer Vision
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Bias in Robust Estimation Caused by Discontinuities and Multiple Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Development and Comparison of Robust Methodsfor Estimating the Fundamental Matrix
International Journal of Computer Vision
Parametric Model Fitting: From Inlier Characterization to Outlier Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Adaptive Segmentation of Range Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric Information Criterion for Model Selection
International Journal of Computer Vision
A Variable Window Approach to Early Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Robust Competitive Clustering Algorithm With Applications in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A practical approximation algorithm for the LMS line estimator
SODA '97 Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms
MIR: An Approach to Robust Clustering-Application to Range Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Organization of Pulse-Coupled Oscillators with Application to Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Method for Mining Regression Classes in Large Data Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inference of Segmented Overlapping Surfaces from Binocular Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Curvature-Augmented Tensor Voting for Shape Inference from Noisy 3D Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Shape by Space Carving
International Journal of Computer Vision - Special issue on Genomic Signal Processing
Robust Active Shape Model Search
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Fast Line Detection Algorithms Based on Combinatorial Optimization
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Adaptive Image Filtering and Segmentation Using Robust Estimation of Intensity
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
A Grouping Principle and Four Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
A Similarity-Based Robust Clustering Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
MDPE: A Very Robust Estimator for Model Fitting and Range Image Segmentation
International Journal of Computer Vision
Robust Adaptive-Scale Parametric Model Estimation for Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of Image Structures Using the Fisher Information and the Rao Metric
IEEE Transactions on Pattern Analysis and Machine Intelligence
A highly robust estimator for regression models
Pattern Recognition Letters
An a contrario Decision Framework for Region-Based Motion Detection
International Journal of Computer Vision
Alternative learning vector quantization
Pattern Recognition
A practical approximation algorithm for the LMS line estimator
Computational Statistics & Data Analysis
Pattern Recognition
Dynamic data assigning assessment clustering of streaming data
Applied Soft Computing
International Journal of Computer Vision
A consensus sampling technique for fast and robust model fitting
Pattern Recognition
An adaptive-scale robust estimator for motion estimation
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Visual surface segmentation from stereo
Image and Vision Computing
Bounded influence support vector regression for robust single-model estimation
IEEE Transactions on Neural Networks
Range segmentation of large building exteriors: A hierarchical robust approach
Computer Vision and Image Understanding
Bucketing techniques in robust regression for computer vision
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two Views
International Journal of Computer Vision
Robust subspace clustering by combined use of kNND metric and SVD algorithm
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A probabilistic approach to build 2d line based maps from laser scans in indoor environments
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Expert Systems with Applications: An International Journal
Adaptive-Scale robust estimator using distribution model fitting
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
A parameterless line segment and elliptical arc detector with enhanced ellipse fitting
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Computer Vision and Image Understanding
| Hi-index | 0.15 |
MINPRAN is a new robust estimator capable of finding good fits in data sets containing more than 50% outliers. Unlike other techniques that handle large outlier percentages, MINPRAN does not rely on a known error bound for the good data. Instead, it assumes the bad data are randomly distributed within the dynamic range of the sensor. Based on this, MINPRAN uses random sampling to search for the fit and the inliers to the fit that are least likely to have occurred randomly. It runs in time O(N2+SN log N), where S is the number of random samples and N is the number of data points. We demonstrate analytically that MINPRAN distinguished good fits to random data and MINPRAN finds accurate fits and nearly the correct number of inliers, regardless of the percentage of true inliers. We confirm MINPRAN驴s properties experimentally on synthetic data and show it compares favorably to least median of squares. Finally, we apply MINPRAN to fitting planar surface patches and eliminating outliers in range data taken from complicated scenes.