Subspace Estimation Using Projection Based M-Estimators over Grassmann Manifolds

No abstract is available for this paper.

• Publication year

  2006

• Venue

  European Conference on Computer Vision

• Publication date

  2006-05-07

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1007/11744023_24
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Generalized principal component analysis (GPCA)

  2005influential reference
• Heteroscedastic Projection Based M-Estimators

  2005cited by this paper
• Point matching under large image deformations and illumination changes

  2004cited by this paper
• A new GPCA algorithm for clustering subspaces by fitting, differentiating and dividing polynomials

  2004influential reference
• Geometric Structure of Degeneracy for Multi-body Motion Segmentation

  2004cited by this paper
• Degeneracies, dependencies and their implications in multi-body and multi-sequence factorizations

  2003cited by this paper
• Robust regression with projection based M-estimators

  2003influential reference
• Empirical Evaluation Methods in Computer Vision

  2002cited by this paper
• Mean Shift: A Robust Approach Toward Feature Space Analysis

  2002cited by this paper
• Motion segmentation by subspace separation and model selection

  2001influential reference
• A general method for Errors-in-Variables problems in computer vision

  2000cited by this paper
• The Geometry of Algorithms with Orthogonality Constraints

  1998influential reference
• Multibody Grouping from Motion Images

  1998cited by this paper
• The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix

  1997cited by this paper
• Normalized cuts and image segmentation

  1997cited by this paper
• A multi-body factorization method for motion analysis

  1995influential reference
• Kernel Smoothing

  1995cited by this paper
• Robust Singular Value Decompositions: A New Approach to Projection Pursuit

  1993cited by this paper
• Shape and motion from image streams under orthography: a factorization method

  1992influential reference
• Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

  1981influential reference
• Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation

  1980cited by this paper

• RANSAC for Robotic Applications: A Survey

  2022influential citation
• Smart Animal Detection and Counting Framework for Monitoring Livestock in an Autonomous Unmanned Ground Vehicle Using Restricted Supervised Learning and Image Fusion

  2021cites this paper
• Efficient Representations of Signals in Nonlinear Signal Processing with Applications to Inverse Problems

  2021cites this paper
• SC-RANSAC: Spatial consistency on RANSAC

  2018cites this paper
• Robust Object-Aware Sample Consensus with Application to Lidar Odometry

  2018cites this paper
• A Novel Correspondence Selection Technique for Affine Rigid Image Registration

  2018cites this paper
• HEASK: Robust homography estimation based on appearance similarity and keypoint correspondences

  2014cites this paper
• ANTSAC: A Generic RANSAC Variant Using Principles of Ant Colony Algorithms

  2014influential citation
• A survey of dimensionality reduction techniques

  2014cites this paper
• Parametric Segmentation of Nonlinear Structures in Visual Data: An Accelerated Sampling Approach

  2014cites this paper
• Conjugate gradient on Grassmann manifolds for robust subspace estimation

  2012cites this paper
• Advances in matrix manifolds for computer vision

  2012cites this paper
• Generalized Projection-Based M-Estimator

  2012cites this paper
• Generalized projection based M-estimator: Theory and applications

  2011cites this paper
• Robust Principal Component Analysis Based on Maximum Correntropy Criterion

  2011cites this paper
• An M-estimator for high breakdown robust estimation in computer vision

  2011cites this paper
• User-independent robust statistics for computer vision

  2011influential citation
• Epipolar Geometry Estimation Using Improved LO-RANSAC

  2011cites this paper
• Finite Sample Bias of Robust Estimators in Segmentation of Closely Spaced Structures: A Comparative Study

  2010cites this paper
• Bridge detection and robust geodesics estimation via random walks

  2010cites this paper
• Canonical Stiefel Quotient and its application to generic face recognition in illumination spaces

  2009cites this paper
• Fast Segmentation of Multiple Motions

  2009cites this paper
• Performance Evaluation of RANSAC Family

  2009cites this paper
• Projection Based M-Estimators

  2009cites this paper
• 동적인 데이터 분포에 강인한 파라미터 추정기와 표식점 기반 위치 추정에의 응용 = Robust parameter estimators for dynamic data distribution and its application to landmark-based localization

  2008cites this paper
• Bridging Parameter and Data Spaces for Fast Robust Estimation in Computer Vision

  2008cites this paper
• Heteroscedastic Low-Rank Matrix Approximation by the Wiberg Algorithm

  2008cites this paper
• Robust statistics over riemannian manifolds for computer vision

  2008influential citation
• Discontinuity Preserving Filtering over Analytic Manifolds

  2007cites this paper
• A Novel High Breakdown M-estimator for Visual Data Segmentation

  2007cites this paper
• Report on the 9th European Conference on Computer Vision (ECCV2006)

  2006cites this paper
• Beyond RANSAC: User Independent Robust Regression

  2006cites this paper