Nonlinear mean shift over Riemannian manifolds

DOI10.1007/s11263-008-0195-8zbMath1477.68426OpenAlexW2158911079WikidataQ115379838 ScholiaQ115379838MaRDI QIDQ847498

Peter Meer, Raghav Subbarao

Publication date: 16 February 2010

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-008-0195-8

zbMATH Keywords

clusteringRiemannian manifoldsmean shift

Mathematics Subject Classification ID

Density estimation (62G07) Statistics on manifolds (62R30) Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)

Related Items (16)

Dictionary Learning on Grassmann Manifolds ⋮ Model-based multiple rigid object detection and registration in unstructured range data ⋮ Optimization of the shape of regions supporting boundary conditions ⋮ Unsupervised assignment flow: label learning on feature manifolds by spatially regularized geometric assignment ⋮ Scale-Invariant Vote-Based 3D Recognition and Registration from Point Clouds ⋮ Averaging on manifolds by embedding algorithm ⋮ Quantization and clustering on Riemannian manifolds with an application to air traffic analysis ⋮ Unscented Kalman filtering on Riemannian manifolds ⋮ Distances and means of direct similarities ⋮ Extrinsic methods for coding and dictionary learning on Grassmann manifolds ⋮ Welcome to Riemannian Computing in Computer Vision ⋮ Recursive Computation of the Fréchet Mean on Non-positively Curved Riemannian Manifolds with Applications ⋮ Robust Estimation for Computer Vision Using Grassmann Manifolds ⋮ Unnamed Item ⋮ The Space of Essential Matrices as a Riemannian Quotient Manifold ⋮ Group-Valued Regularization for Motion Segmentation of Articulated Shapes

Uses Software

• SIFT

Cites Work

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