Pattern Recognition: 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010, Proceedings
On behalf of the organizing committee, we would like to welcome you to Da- nd stadt and DAGM 2010,the 32 Annual Symposium of the German Association for Pattern Recognition. The technical program covered all aspects of pattern recognition and, to name only a few areas, ranged from 3D reconstruction, to object recognition and medical applications. The result is reffected in these proceedings, which contain the papers presented at DAGM 2010. Our call for papers resulted in 134 submissions from institutions in 21 countries. Each paper underwent a rigorous reviewing process and was assigned to at least three program committee m- bers for review. The reviewing phase was followed by a discussion phase among the respective program committee members in order to suggest papers for - ceptance. The final decision was taken during a program committee meeting held in Darmstadt based on all reviews, the discussion results and, if necessary, additional reviewing. Based on this rigorous process we selected a total of 57 papers, corresponding to an acceptance rate of below 45%. Out of all accepted papers, 24 were chosen for oral and 33 for poster presentation. All accepted - pers have been published in these proceedings and given the same number of pages. We would like to thank all members of the program committee as well as the external reviewers for their valuable and highly appreciated contribution to the community.
1111360947
Pattern Recognition: 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010, Proceedings
On behalf of the organizing committee, we would like to welcome you to Da- nd stadt and DAGM 2010,the 32 Annual Symposium of the German Association for Pattern Recognition. The technical program covered all aspects of pattern recognition and, to name only a few areas, ranged from 3D reconstruction, to object recognition and medical applications. The result is reffected in these proceedings, which contain the papers presented at DAGM 2010. Our call for papers resulted in 134 submissions from institutions in 21 countries. Each paper underwent a rigorous reviewing process and was assigned to at least three program committee m- bers for review. The reviewing phase was followed by a discussion phase among the respective program committee members in order to suggest papers for - ceptance. The final decision was taken during a program committee meeting held in Darmstadt based on all reviews, the discussion results and, if necessary, additional reviewing. Based on this rigorous process we selected a total of 57 papers, corresponding to an acceptance rate of below 45%. Out of all accepted papers, 24 were chosen for oral and 33 for poster presentation. All accepted - pers have been published in these proceedings and given the same number of pages. We would like to thank all members of the program committee as well as the external reviewers for their valuable and highly appreciated contribution to the community.
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Pattern Recognition: 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010, Proceedings

Pattern Recognition: 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010, Proceedings

Pattern Recognition: 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010, Proceedings

Pattern Recognition: 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010, Proceedings

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Overview

On behalf of the organizing committee, we would like to welcome you to Da- nd stadt and DAGM 2010,the 32 Annual Symposium of the German Association for Pattern Recognition. The technical program covered all aspects of pattern recognition and, to name only a few areas, ranged from 3D reconstruction, to object recognition and medical applications. The result is reffected in these proceedings, which contain the papers presented at DAGM 2010. Our call for papers resulted in 134 submissions from institutions in 21 countries. Each paper underwent a rigorous reviewing process and was assigned to at least three program committee m- bers for review. The reviewing phase was followed by a discussion phase among the respective program committee members in order to suggest papers for - ceptance. The final decision was taken during a program committee meeting held in Darmstadt based on all reviews, the discussion results and, if necessary, additional reviewing. Based on this rigorous process we selected a total of 57 papers, corresponding to an acceptance rate of below 45%. Out of all accepted papers, 24 were chosen for oral and 33 for poster presentation. All accepted - pers have been published in these proceedings and given the same number of pages. We would like to thank all members of the program committee as well as the external reviewers for their valuable and highly appreciated contribution to the community.

Product Details

ISBN-13: 9783642159855
Publisher: Springer Berlin Heidelberg
Publication date: 11/04/2010
Series: Lecture Notes in Computer Science , #6376
Edition description: 2010
Pages: 574
Product dimensions: 6.10(w) x 9.20(h) x 1.10(d)

Table of Contents

Geometry and Calibration

3D Reconstruction Using an n-Layer Heightmap David Gallup Marc Pollefeys Jan-Michael Frahm 1

Real-Time Dense Geometry from a Handheld Camera Jan Stühmer Stefan Gumhold Daniel Cremers 11

From Single Cameras to the Camera Network: An Auto-Calibration Framework for Surveillance Cristina Picus Branislav Micusik Roman Pflugfelder 21

Active Self-calibration of Multi-camera Systems Marcel Brückner Joachim Denzler 31 1 Poster Session I

Optimization on Shape Curves with Application to Specular Stereo Jonathan Balzer Sebastian Höfer Stefan Werling Jürgen Beyerer 41

Unsupervised Facade Segmentation Using Repetitive Patterns Andreas Wendel Michael Donoser Horst Bischof 51

Image Segmentation with a Statistical Appearance Model and a Generic Mumford-Shah Inspired Outside Model Thomas Albrecht Thomas Vetter 61

Estimating Force Fields of Living Cells-Comparison of Several Regularization Schemes Combined with Automatic Parameter Choice Sebastian Houben Norbert Kirchgeβner Rudolf Merkel 71

Classification of Microorganisms via Raman Spectroscopy Using Gaussian Processes Michael Kemmler Joachim Denzler Petra Rösch Jürgen Popp 81

Robust Identification of Locally Planar Objects Represented by 2D Point Clouds under Affine Distortions Dominic Mai Thorsten Schmidt Hans Burkhardt 91

Model-Based Recognition of Domino Tiles Using TGraphs Stefan Wirtz Marcel Häselich Dietrich Paulus 101

Slicing the View: Occlusion-Aware View-Based Robot Navigation David Dederscheck Martin Zahn Holger Friedrich Rudolf Mester 111

A Contour Matching Algorithm to Reconstruct Ruptured Documents Anke Stieber Jan Schneider Bertram Nickolay Jörg Krüger 121

Local Structure Analysis by Isotropic Hilbert Transforms Lennart Wietzke Oliver Fleischmann Anne Sedlazeck Gerald Sommer 131

Complex Motion Models for Simple Optical Flow Estimation Claudia Nieuwenhuis Daniel Kondermann Christoph S. Garbe 141

Tracking People in Broadcast Sports Angela Yao Dominique Uebersax Juergen Gall Luc Van Gool 151

A Template-Based Approach for Real-Time Speed-Limit-Sign Recognition on an Embedded System Using GPU Computing Pinar Muyan-Özçelik Vladimir Glavtchev Jeffrey M. Ota John D. Owens 162

Inpainting in Multi-image Stereo Arnav V. Bhavsar Ambasamudram N. Rajagopalan 172

Analysis of Length and Orientation of Microtubules in Wide-Field Fluorescence Microscopy Gerlind Herberich Anca Ivanescu Ivonne Gamper Antonio Sechi Til Aach 182

Learning Non-stationary System Dynamics Online Using Gaussian Processes Axel Rottmann Wolfram Burgard 192

Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma Peter J. Schüffler Thomas J. Fuchs Cheng Soon Ong Volker Roth Joachim M. Buhmann 202

Recognition

Efficient Object Detection Using Orthogonal NMF Descriptor Hierarchies Thomas Mauthner Stefan Kluckner Peter M. Roth Horst Bischof 212

VF-SIFT: Very Fast SIFT Feature Matching Faraj Alhwarin Danijela Ristic-Durrant Axel Gräser 222

One-Shot Learning of Object Categories Using Dependent Gaussian Processes Erik Rodner Joachim Denzler 232

Learning and Optimization

Uncertainty Driven Multi-scale Optimization Pushmeet Kohli Victor Lempitsky Carsten Rother 242

The Group-Lasso: l1,∞ Regularization versus l1,2 Regularization Julia E. Vogt Volker Roth 252

Random Fourier Approximations for Skewed Multiplicative Histogram Kernels Fuxin Li Catalin Ionescu Cristian Sminchisescu 262

Gaussian Mixture Modeling with Gaussian Process Latent Variable Models Hannes Nickisch Carl Edward Rasmussen 272

Applications

Classification of Swimming Microorganisms Motion Patterns in 4D Digital In-Line Holography Data Laura Leal-Taixé Matthias Heydt Sebastian Weiβe Axel Rosenhahn Bodo Rosenhahn 283

Catheter Tracking: Filter-Based vs. Learning-Based Alexander Brost Andreas Wimmer Rui Liao Joachim Hornegger Norbert Strobel 293

Exploiting Redundancy for Aerial Image Fusion Using Convex Optimization Stefan Kluckner Thomas Pock Horst Bischof 303

Poster Session II

A Convex Approach for Variational Super-Resolution Markus Unger Thomas Pock Manuel Werlberger Horst Bischof 313

Incremental Learning in the Energy Minimisation Framework for Interactive Segmentation Denis Kirmizigül Dmitrij Schlesinger 323

A Model-Based Approach to the Segmentation of Nasal Cavity and Paranasal Sinus Boundaries Carsten Last Simon Winkelbach Friedrich M. Wahl Klaus W.G. Eichhorn Friedrich Bootz 333

Wavelet-Based Inpainting for Object Removal from Image Series Sebastian Vetter Marcin Grzegorzek Dietrich Paulus 343

An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM Björn Andres Jörg H. Kappes Ullrich Köthe Christoph Schnörr Fred A. Hamprecht 353

N-View Human Silhouette Segmentation in Cluttered, Partially Changing Environments Tobias Feldmann Björn Scheuermann Bodo Rosenhahn Annika Wörner 363

Nugget-Cut: A Segmentation Scheme for Spherically- and Elliptically-Shaped 3D Objects Jan Egger Miriam H.A. Bauer Daniela Kuhnt Barbara Carl Christoph Kappus Bernd Freisleben Christopher Nimsky 373

Benchmarking Stereo Data (Not the Matching Algorithms) Ralf Haeusler Reinhard Klette 383

Robust Open-Set Face Recognition for Small-Scale Convenience Applications Hua Gao Hazim Kemal Ekenel Rainer Stiefelhagen 393

Belief Propagation for Improved Color Assessment in Structured Light Christoph Schmalz Elli Angelopoulou 403

3D Object Detection Using a Fast Voxel-Wise Local Spherical Fourier Tensor Transformation Henrik Skibbe Marco Reisert Thorsten Schmidt Klaus Palme Olaf Ronneberger Hans Burkhardt 412

Matte Super-Resolution for Compositing Sahana M. Prabhu Ambasamudram N. Rajagopalan 422

An Improved Histogram of Edge Local Orientations for Sketch-Based Image Retrieval Jose M. Saavedra Benjamin Bustos 432

A Novel Curvature Estimator for Digital Curves and Images Oliver Fleischmann Lennart Wietzke Gerald Sommer 442

Local Regression Based Statistical Model Fitting Matthias Amberg Marcel Lüthi Thomas Vetter 452

Semi-Supervised Learning of Edge Filters for Volumetric Image Segmentation Margret Keuper Robert Bensch Karsten Voigt Alexander Dovzhenko Klaus Palme Hans Burkhardt Olaf Ronneberger 462

Motion

Geometrically Constrained Level Set Tracking for Automotive Applications Esther Horbert Dennis Mitzel Bastian Leibe 472

Interactive Motion Segmentation Claudia Nieuwenhuis Benjamin Berkels Martin Rumpf Daniel Cremers 483

On-line Multi-view Forests for Tracking Christian Leistner Martin Godec Amir Saffari Horst Bischof 493

Low-Level Vision and Features

Probabilistic Multi-class Scene Flow Segmentation for Traffic Scenes Alexander Barth Jan Siegemund Annemarie Meiβner Uwe Franke Wolfgang Förstner 503

A Stochastic Evaluation of the Contour Strength Fernand Meyer Jean Stawiaski 513

Incremental Computation of Feature Hierarchies Michael Felsherg 523

From Box Filtering to Fast Explicit Diffusion Sven Grewenig Joachim Weickert Andrés Bruhn 533

Surfaces and Materials

High-Resolution Object Deformation Reconstruction with Active Range Camera Andreas Jordt Ingo Schiller Johannes Bruenger Reinhard Koch 543

Selection of an Optimal Polyhedral Surface Model Using the Minimum Description Length Principle Tilman Wekel Olaf Hellwich 553

Learning of Optimal Illumination for Material Classification Markus Jehle Christoph Sommer Bernd Jähne 563

Author Index 573

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