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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 / edited by Ole Fogh Olsen, Luc Florack, Arjan Kuijper.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 3753.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 3753
- Language:
- English
- Subjects (All):
- Optical data processing.
- Algorithms.
- Artificial intelligence.
- Computer graphics.
- Pattern perception.
- Image Processing and Computer Vision.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Algorithm Analysis and Problem Complexity.
- Artificial Intelligence.
- Computer Graphics.
- Pattern Recognition.
- Local Subjects:
- Image Processing and Computer Vision.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Algorithm Analysis and Problem Complexity.
- Artificial Intelligence.
- Computer Graphics.
- Pattern Recognition.
- Physical Description:
- 1 online resource (X, 259 pages).
- Edition:
- First edition 2005.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
- System Details:
- text file PDF
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-540-32097-5
- 9783540320975
- Access Restriction:
- Restricted for use by site license.
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