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Multiple view geometry in computer visiond
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Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimization Criteria and Geometric Algorithms for Motion and Structure Estimation
International Journal of Computer Vision
Theory of Reconstruction from Image Motion
Theory of Reconstruction from Image Motion
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Mean Shift Is a Bound Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vector-Valued Image Regularization with PDEs: A Common Framework for Different Applications
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Statistical Shape Analysis: Clustering, Learning, and Testing
IEEE Transactions on Pattern Analysis and Machine Intelligence
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ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
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Machine Vision and Applications
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International Journal of Computer Vision
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
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Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning (Synthesis Lectures on Image, Video, and Multimedia Processing)
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear Mean Shift for Robust Pose Estimation
WACV '07 Proceedings of the Eighth IEEE Workshop on Applications of Computer Vision
Essential Matrix Estimation Using Gauss-Newton Iterations on a Manifold
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Statistics of shape via principal geodesic analysis on lie groups
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
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SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
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Image and Vision Computing
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Image and Vision Computing
Geodesic Polar Coordinates on Polygonal Meshes
Computer Graphics Forum
Clustering via geometric median shift over Riemannian manifolds
Information Sciences: an International Journal
Dynamics of a mean-shift-like algorithm and its applications on clustering
Information Processing Letters
Semi-intrinsic mean shift on riemannian manifolds
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Manifold statistics for essential matrices
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Group-Valued regularization for analysis of articulated motion
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Mode seeking with an adaptive distance measure
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Unscented Kalman Filtering on Riemannian Manifolds
Journal of Mathematical Imaging and Vision
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Image and Vision Computing
Kernel analysis on Grassmann manifolds for action recognition
Pattern Recognition Letters
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The original mean shift algorithm is widely applied for nonparametric clustering in vector spaces. In this paper we generalize it to data points lying on Riemannian manifolds. This allows us to extend mean shift based clustering and filtering techniques to a large class of frequently occurring non-vector spaces in vision. We present an exact algorithm and prove its convergence properties as opposed to previous work which approximates the mean shift vector. The computational details of our algorithm are presented for frequently occurring classes of manifolds such as matrix Lie groups, Grassmann manifolds, essential matrices and symmetric positive definite matrices. Applications of the mean shift over these manifolds are shown.