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Deep Structure, Singularities, and Computer Vision: First International Workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, Revised Selected Papers: Lecture Notes in Computer Science, cartea 3753

Editat de Ole Fogh Olsen, Luc Florack, Arjan Kuijper
en Limba Engleză Paperback – 4 noi 2005

Din seria Lecture Notes in Computer Science

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Specificații

ISBN-13: 9783540298366
ISBN-10: 3540298363
Pagini: 259
Ilustrații: X, 259 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.39 kg
Ediția:2005
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Oral Presentations.- Blurred Correlation Versus Correlation Blur.- A Scale Invariant Covariance Structure on Jet Space.- Essential Loops and Their Relevance for Skeletons and Symmetry Sets.- Pre-symmetry Sets of 3D Shapes.- Deep Structure of Images in Populations Via Geometric Models in Populations.- Estimating the Statistics of Multi-object Anatomic Geometry Using Inter-object Relationships.- Histogram Statistics of Local Model-Relative Image Regions.- The Bessel Scale-Space.- Linear Image Reconstruction from a Sparse Set of ?-Scale Space Features by Means of Inner Products of Sobolev Type.- A Riemannian Framework for the Processing of Tensor-Valued Images.- From Stochastic Completion Fields to Tensor Voting.- Deep Structure from a Geometric Point of View.- Maximum Likely Scale Estimation.- Adaptive Trees and Pose Identification from External Contours of Polyhedra.- Poster Presentations.- Exploiting Deep Structure.- Scale-Space Hierarchy of Singularities.- Computing 3D Symmetry Sets; A Case Study.- Irradiation Orientation from Obliquely Viewed Texture.- Using Top-Points as Interest Points for Image Matching.- Transitions of Multi-scale Singularity Trees.- A Comparison of the Deep Structure of ?-Scale Spaces.- A Note on Local Morse Theory in Scale Space and Gaussian Deformations.