Deep Structure, Singularities, and Computer Vision [electronic resource] : First International Workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, Revised Selected Papers / edited by Ole Fogh Olsen, Luc Florack, Arjan Kuijper.

Contributor(s): Fogh Olsen, Ole [editor.] | Florack, Luc [editor.] | Kuijper, Arjan [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Computer Science ; 3753Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005Description: X, 259 p. Also available online. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540320975Subject(s): Computer science | Computer software | Artificial intelligence | Computer vision | Computer graphics | Optical pattern recognition | Computer Science | Computer Imaging, Vision, Pattern Recognition and Graphics | Algorithm Analysis and Problem Complexity | Artificial Intelligence (incl. Robotics) | Computer Graphics | Image Processing and Computer Vision | Pattern RecognitionAdditional physical formats: Printed edition:: No titleDDC classification: 006.6 LOC classification: T385TA1637-1638TK7882.P3Online resources: Click here to access online
Contents:
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.
In: Springer eBooks
Item type: E-BOOKS
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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.

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