JMIV 2006 - PDF Preprint Papers

JMIV 2006

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JMIV
2006

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Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements

13 years 6 months ago

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In medical image analysis and high level computer vision, there is an intensive use of geometric features like orientations, lines, and geometric transformations ranging from simp...

Xavier Pennec

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Id	Views	Title	Status

1	185	Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements	claim
2	176	Segmentation of Vectorial Image Features Using Shape Gradients and Information Measures	claim
3	176	Centroidal Voronoi Tessellation Algorithms for Image Compression, Segmentation, and Multichannel Restoration	claim
4	166	Fast Surface Segmentation Guided by User Input Using Implicit Extension of Minimal Paths	claim
5	161	Image Restoration with Discrete Constrained Total Variation Part I: Fast and Exact Optimization	claim
6	133	Combining Seminorms in Adaptive Lifting Schemes and Applications to Image Analysis and Compression	claim
7	130	Alternative 2D Shape Representations using the Symmetry Set	claim
8	128	General Adaptive Neighborhood Image Processing:	claim
9	124	Iterative Total Variation Regularization with Non-Quadratic Fidelity	claim
10	124	Segmentation of a Vector Field: Dominant Parameter and Shape Optimization	claim
11	116	Geodesic Matching with Free Extremities	claim
12	115	Application of the Fisher-Rao Metric to Structure Detection	claim
13	112	Improving Deriche-style Recursive Gaussian Filters	claim
14	100	Mixed-State Auto-Models and Motion Texture Modeling	claim
15	94	Geodesic Shooting for Computational Anatomy	claim
16	91	Harmonic Embeddings for Linear Shape Analysis	claim
17	78	Axiomatic Digital Topology	claim
18	78	Shape Estimation from Support and Diameter Functions	claim
19	72	The Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties	claim
20	72	A Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications	claim
21	72	Edge-Forming Methods for Image Zooming	claim
22	58	On the Probability of the Number of Solutions for the P4P Problem	claim

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