*Alle Preise inkl. gesetzl. MwSt.
zzgl. Versandkosten

Pattern Recognition

9,99 €
Auf Lager
SKU
3319117513
Gebraucht - sehr gut

Pattern Recognition

36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014, Proceedings 
Xiaoyi Jiang, Joachim Hornegger, Reinhard Koch (Eds.)

This book constitutes the refereed proceedings of the 36th German Conference on Pattern Recognition, GCPR 2014, held in Münster, Germany, in September 2014. The 58 revised full papers and 8 short papers were carefully reviewed and selected from 153 submissions. The papers are organized in topical sections on variational models for depth and flow, reconstruction, bio-informatics, deep learning and segmentation, feature computation, video interpretation, segmentation and labeling, image processing and analysis, human pose and people tracking, interpolation and inpainting.

Contents
Variational odels for Depth and Flow

Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm - Stefan Heber, Thomas Pock - Pages 3-14
Introducing More Physics into Variational Depth–from–Defocus - Nico Persch, Christopher Schroers, Simon Setzer, Joachim Weickert - Pages 15-27
Reconstruction
High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth - Daniel Scharstein, Heiko Hirschmüller, York Kitajima, Greg Krathwohl, Nera Nešic, Xi Wang et al. - Pages 31-42
Semi-Global Matching: A Principled Derivation in Terms of Message Passing - Amnon Drory, Carsten Haubold, Shai Avidan, Fred A. Hamprecht - Pages 43-53
Submap-Based Bundle Adjustment for 3D Reconstruction from RGB-D Data - Robert Maier, Jürgen Sturm, Daniel Cremers - Pages 54-65
Bio-informatics
A Hierarchical Bayesian Approach for Unsupervised Cell Phenotype Clustering - Mahesh Venkata Krishna, Joachim Denzler - Pages 69-80
Information Bottleneck for Pathway-Centric Gene Expression Analysis - David Adametz, Mélanie Rey, Volker Roth - Pages 81-91
Deep Learning and Segmentation
Convolutional Decision Trees for Feature Learning and Segmentation - Dmitry Laptev, Joachim M. Buhmann - Pages 95-106
A Deep Variational Model for Image Segmentation - René Ranftl, Thomas Pock - Pages 107-118
Feature Computation
Robust PCA: Optimization of the Robust Reconstruction Error Over the Stiefel Manifold - Anastasia Podosinnikova, Simon Setzer, Matthias Hein - Pages 121-131
Cutting Plane Algorithm for Structured Output Ranking - Matthew B. Blaschko, Arpit Mittal, Esa Rahtu - Pages 132-143
Exemplar-Specific Patch Features for Fine-Grained Recognition - Alexander Freytag, Erik Rodner, Trevor Darrell, Joachim Denzler - Pages 144-156
Video Interpretation
Motion Segmentation with Weak Labeling Priors - Hodjat Rahmati, Ralf Dragon, Ole Morten Aamo, Luc van Gool, Lars Adde - Pages 159-171
Object-Level Priors for Stixel Generation - Marius Cordts, Lukas Schneider, Markus Enzweiler, Uwe Franke, Stefan Roth - Pages 172-183
Coherent Multi-sentence Video Description with Variable Level of Detail - Anna Rohrbach, Marcus Rohrbach, Wei Qiu, Annemarie Friedrich, Manfred Pinkal, Bernt Schiele - Pages 184-195
Segmentation and Labeling
Asymmetric Cuts: Joint Image Labeling and Partitioning - Thorben Kroeger, Jörg H. Kappes, Thorsten Beier, Ullrich Koethe, Fred A. Hamprecht - Pages 199-211
Mind the Gap: Modeling Local and Global Context in (Road) Networks - Javier A. Montoya-Zegarra, Jan D. Wegner, Lubor Ladický, Konrad Schindler - Pages 212-223
Image Processing and Analysis
Guided Image Super-Resolution: A New Technique for Photogeometric Super-Resolution in Hybrid 3-D Range Imaging - Florin C. Ghesu, Thomas Köhler, Sven Haase, Joachim Hornegger - Pages 227-238
Image Descriptors Based on Curvature Histograms - Philipp Fischer, Thomas Brox - Pages 2

Weitere Informationen
Verlage Springer
Schreiben Sie eine Bewertung
Sie bewerten:Pattern Recognition
Ihre Bewertung
Copyright © 2026 Apesound. Alle Rechte vorbehalten.