Intrinsic Bayesian active contours for extraction of object boundaries in images

DOI10.1007/S11263-008-0179-8zbMath1477.68379OpenAlexW2093258721WikidataQ42033183 ScholiaQ42033183MaRDI QIDQ847484

Anuj Srivastava, Shantanu H. Joshi

Publication date: 16 February 2010

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

Full work available at URL: http://europepmc.org/articles/pmc2980332

zbMATH Keywords

Riemannian metricsegmentationelastic shapesBayesian shape extractionintrinsic shape analysisshape extractiontangent PCA

Mathematics Subject Classification ID

Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Machine vision and scene understanding (68T45)

Related Items (2)

Parallel tempering strategies for model-based landmark detection on shapes ⋮ Elastic Shape Analysis of Functions, Curves and Trajectories

Cites Work

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• On shape of plane elastic curves
• The heat equation shrinking convex plane curves
• The heat equation shrinks embedded plane curves to round points
• Generalized gradient vector flow external forces for active contours
• Geodesic active contours
• Large sample theory of intrinsic and extrinsic sample means on manifolds. I
• Shape statistics in kernel space for variational image segmentation.
• Group actions, homeomorphisms, and matching: A general framework
• Diffusion snakes: Introducing statistical shape knowledge into the Mumford-Shah functional
• Using prior shapes in geometric active contours in a variational framework
• The statistical theory of shape
• Invariant Bayesian estimation on manifolds
• Riemannian geometries on spaces of plane curves
• Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics
• Computable Elastic Distances Between Shapes
• Snakes, shapes, and gradient vector flow
• Asymptotic performance analysis of Bayesian target recognition

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