Pattern Recognition

1. Front Matter

   Pages I-XVI

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2. Biomedical Image Processing and Analysis

   1. Front Matter

      Pages 1-1

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   2. A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney

      • Michael Gadermayr, Sean Steven Cooper, Barbara Klinkhammer, Peter Boor, Dorit Merhof

      Pages 3-13

3. Classification and Detection

   1. Front Matter

      Pages 15-15

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   2. Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection

      • Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn

      Pages 17-28

   3. Learning Where to Drive by Watching Others

      • Miguel A. Bautista, Patrick Fuchs, Björn Ommer

      Pages 29-40

   4. Learning Dilation Factors for Semantic Segmentation of Street Scenes

      • Yang He, Margret Keuper, Bernt Schiele, Mario Fritz

      Pages 41-51

   5. Learning to Filter Object Detections

      • Sergey Prokudin, Daniel Kappler, Sebastian Nowozin, Peter Gehler

      Pages 52-62

4. Computational Photography

   1. Front Matter

      Pages 63-63

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   2. Motion Deblurring in the Wild

      • Mehdi Noroozi, Paramanand Chandramouli, Paolo Favaro

      Pages 65-77

   3. Robust Multi-image HDR Reconstruction for the Modulo Camera

      • Florian Lang, Tobias Plötz, Stefan Roth

      Pages 78-89

   4. Trainable Regularization for Multi-frame Superresolution

      • Teresa Klatzer, Daniel Soukup, Erich Kobler, Kerstin Hammernik, Thomas Pock

      Pages 90-100

5. Image and Video Processing

   1. Front Matter

      Pages 101-101

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   2. A Comparative Study of Local Search Algorithms for Correlation Clustering

      • Evgeny Levinkov, Alexander Kirillov, Bjoern Andres

      Pages 103-114

   3. Combined Precise Extraction and Topology of Points, Lines and Curves in Man-Made Environments

      • Dominik Wolters, Reinhard Koch

      Pages 115-125

   4. Recurrent Residual Learning for Action Recognition

      • Ahsan Iqbal, Alexander Richard, Hilde Kuehne, Juergen Gall

      Pages 126-137

   5. A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry

      • Ecaterina Bodnariuc, Stefania Petra, Christoph Schnörr, Jason Voorneveld

      Pages 138-149

6. Machine Learning and Pattern Recognition

   1. Front Matter

      Pages 151-151

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   2. Object Boundary Detection and Classification with Image-Level Labels

      • Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder

      Pages 153-164

   3. Semantic Segmentation of Outdoor Areas Using 3D Moment Invariants and Contextual Cues

      • Sven Sickert, Joachim Denzler

      Pages 165-176

This book constitutes the refereed proceedings of the 39th German Conference on Pattern Recognition, GCPR 2017, held in  Basel, Switzerland, in September 2017.The 33 revised full papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on biomedical image processing and analysis; classification and detection; computational photography;  image and video processing; machine learning and pattern recognition; mathematical foundations, statistical data analysis and models; motion and segmentation; pose, face and gesture; reconstruction and depth;  and tracking.

• image processing
• machine learning
• pattern recognition
• signal processing
• biomedical image processing
• computational photography
• computer vision
• document analysis
• mathematical foundations
• motion estimation
• reconstruction
• statistical data analysis
• artificial intelligence
• image segmentation
• image reconstruction
• neural networks
• learning systems
• image coding
• SVM

• University of Basel, Basel, Switzerland

  Volker Roth, Thomas Vetter

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