Deep Structure, Singularities, and Computer Vision: First International Workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, Revised Selected Papers

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This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Deep Structure, Singularities, and Computer Vision, DSSCV 2005, held in Maastricht, The Netherlands in June 2005.

The 14 revised full papers and 8 revised poster papers presented were carefully reviewed and selected for inclusion in the book. They represent the current state-of-the-art in understanding the relation between structural, topological information represented by singularities and metric information of signals, shapes, images, and colors.

Author(s): Jan J. Koenderink, Andrea van Doorn (auth.), Ole Fogh Olsen, Luc Florack, Arjan Kuijper (eds.)
Series: Lecture Notes in Computer Science 3753 : Image Processing, Computer Vision, Pattern Recognition, and Graphics
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2005

Language: English
Pages: 259
Tags: Computer Imaging, Vision, Pattern Recognition and Graphics; Algorithm Analysis and Problem Complexity; Artificial Intelligence (incl. Robotics); Computer Graphics; Image Processing and Computer Vision; Pattern Recognition

Front Matter....Pages -
Blurred Correlation Versus Correlation Blur....Pages 1-11
A Scale Invariant Covariance Structure on Jet Space....Pages 12-23
Essential Loops and Their Relevance for Skeletons and Symmetry Sets....Pages 24-35
Pre-symmetry Sets of 3D Shapes....Pages 36-48
Deep Structure of Images in Populations Via Geometric Models in Populations....Pages 49-59
Estimating the Statistics of Multi-object Anatomic Geometry Using Inter-object Relationships....Pages 60-71
Histogram Statistics of Local Model-Relative Image Regions....Pages 72-83
The Bessel Scale-Space....Pages 84-95
Linear Image Reconstruction from a Sparse Set of α -Scale Space Features by Means of Inner Products of Sobolev Type....Pages 96-111
A Riemannian Framework for the Processing of Tensor-Valued Images....Pages 112-123
From Stochastic Completion Fields to Tensor Voting....Pages 124-134
Deep Structure from a Geometric Point of View....Pages 135-145
Maximum Likely Scale Estimation....Pages 146-156
Adaptive Trees and Pose Identification from External Contours of Polyhedra....Pages 157-168
Exploiting Deep Structure....Pages 169-180
Scale-Space Hierarchy of Singularities....Pages 181-192
Computing 3D Symmetry Sets; A Case Study....Pages 193-204
Irradiation Orientation from Obliquely Viewed Texture....Pages 205-210
Using Top-Points as Interest Points for Image Matching....Pages 211-222
Transitions of Multi-scale Singularity Trees....Pages 223-233
A Comparison of the Deep Structure of α -Scale Spaces....Pages 234-248
A Note on Local Morse Theory in Scale Space and Gaussian Deformations....Pages 249-258
Back Matter....Pages -