Robust Clustering with Applications in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based object recognition in dense-range images—a review
ACM Computing Surveys (CSUR)
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Experimental Comparison of Range Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Estimation for Range Image Segmentation and Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
MINPRAN: A New Robust Estimator for Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bias in Robust Estimation Caused by Discontinuities and Multiple Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
MIR: An Approach to Robust Clustering-Application to Range Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of methods for recovering quadrics in triangle meshes
ACM Computing Surveys (CSUR)
3D Complex Scenes Segmentation from a Single Range Image Using Virtual Exploration
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Range image reconstruction based on robust multiresolution estimation of surface parameters
Pattern Recognition Letters
Gradient-based polyhedral segmentation for range images
Pattern Recognition Letters
Using symmetry in robust model fitting
Pattern Recognition Letters
MDPE: A Very Robust Estimator for Model Fitting and Range Image Segmentation
International Journal of Computer Vision
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Robust Adaptive-Scale Parametric Model Estimation for Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A 3D image processing method for manufacturing process automation
Computers in Industry - Special issue: Machine vision
Exploration trees on highly complex scenes: A new approach for 3D segmentation
Pattern Recognition
Consistency of robust estimators in multi-structural visual data segmentation
Pattern Recognition
3D scene analysis from a single range image through occlusion graphs
Pattern Recognition Letters
International Journal of Computer Vision
A consensus sampling technique for fast and robust model fitting
Pattern Recognition
A 3D image processing method for manufacturing process automation
Computers in Industry
An adaptive-scale robust estimator for motion estimation
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Bounded influence support vector regression for robust single-model estimation
IEEE Transactions on Neural Networks
Journal of Mathematical Imaging and Vision
Range segmentation of large building exteriors: A hierarchical robust approach
Computer Vision and Image Understanding
Technical Section: Robust normal estimation for point clouds with sharp features
Computers and Graphics
CC-RANSAC: Fitting planes in the presence of multiple surfaces in range data
Pattern Recognition Letters
An M-estimator for high breakdown robust estimation in computer vision
Computer Vision and Image Understanding
Detection of surface creases in range data
IMA'05 Proceedings of the 11th IMA international conference on Mathematics of Surfaces
Adaptive-Scale robust estimator using distribution model fitting
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Efficient and robust model fitting with unknown noise scale
Image and Vision Computing
An Adversarial Optimization Approach to Efficient Outlier Removal
Journal of Mathematical Imaging and Vision
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We propose a novel image segmentation technique using the robust, adaptive least kth order squares (ALKS) estimator which minimizes the kth order statistics of the squared of residuals. The optimal value of k is determined from the data, and the procedure detects the homogeneous surface patch representing the relative majority of the pixels. The ALKS shows a better tolerance to structured outliers than other recently proposed similar techniques: Minimize the Probability of Randomness (MINPRAN) and Residual Consensus (RESC). The performance of the new, fully autonomous, range image segmentation algorithm is compared to several other methods.