Central Library

Normal view MARC view ISBD view

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): Olsen, Ole Fogh [editor.] | Florack, Luc [editor.] | Kuijper, Arjan [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 3753Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Edition: 1st ed. 2005.Description: X, 259 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540320975.Subject(s): Computer vision | Image processing -- Digital techniques | Algorithms | Artificial intelligence | Computer graphics | Pattern recognition systems | Computer Vision | Computer Imaging, Vision, Pattern Recognition and Graphics | Algorithms | Artificial Intelligence | Computer Graphics | Automated Pattern RecognitionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.37 Online 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 Nature eBook
    average rating: 0.0 (0 votes)
No physical items for this record

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.

There are no comments for this item.

Log in to your account to post a comment.