Scene Segmentation from Visual Motion Using Global Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust regression and outlier detection
Robust regression and outlier detection
Image segmentation based on object oriented mapping parameter estimation
Signal Processing
Robust regression methods for computer vision: a review
International Journal of Computer Vision
Motion segmentation and qualitative dynamic scene analysis from an image sequence
International Journal of Computer Vision
Performance of optical flow techniques
International Journal of Computer Vision
An Experimental Comparison of Range Image Segmentation Algorithms
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
Robust Adaptive Segmentation of Range Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Rigid Body Segmentation and Shape Description from Dense Optical Flow Under Weak Perspective
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Estimation for Range Image Segmentation and Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optic Flow Field Segmentation and Motion Estimation Using a Robust Genetic Partitioning Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Intensity and Motion for Incremental Segmentation and Tracking Over Long Image Sequences
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Matching Object Models to Segments from an Optical Flow Field
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Robust Motion Segmentation Using Rank Ordering Estimatiors
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume II
A region-level graph labeling approach to motion-based segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
MUSE: Robust Surface Fitting using Unbiased Scale Estimates
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Spatio-temporal segmentation based on motion and static segmentation
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
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
Parametric model-based motion segmentation using surface selection criterion
Computer Vision and Image Understanding
Consistency of robust estimators in multi-structural visual data segmentation
Pattern Recognition
Aerial tracking of elongated objects in rural environments
Machine Vision and Applications
A consensus sampling technique for fast and robust model fitting
Pattern Recognition
Conditions for Segmentation of 2D Translations of 3D Objects
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Parametric model-based motion segmentation using surface selection criterion
Computer Vision and Image Understanding
Conditions for Segmentation of Motion with Affine Fundamental Matrix
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
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
A novel hierarchical technique for range segmentation of large building exteriors
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
An M-estimator for high breakdown robust estimation in computer vision
Computer Vision and Image Understanding
Finite sample bias of robust scale estimators in computer vision problems
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Efficient and robust model fitting with unknown noise scale
Image and Vision Computing
Modular interpretation of low altitude aerial images of non-urban environment
Digital Signal Processing
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A method of data segmentation, based upon robust least K-th order statistical model fitting (LKS), is proposed and applied to image motion and range data segmentation. The estimation method differs from other approaches using versions of LKS in a number of important ways. Firstly, the value of K is not determined by a complex optimization routine. Secondly, having chosen a fit, the estimation of scale of the noise is not based upon the K-th order statistic of the residuals. Other aspects of the full segmentation scheme include the use of segment contiguity to: (a) reduce the number of random sample fits used in the LKS stage, and (b) to “fill-in” holes caused by isolated miss-classified data.