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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 … Mehr…
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2010, ISBN: 9783642159855
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 … Mehr…
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2010, ISBN: 9783642159855
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 … Mehr…
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2010, ISBN: 9783642159855
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 … Mehr…
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2010, ISBN: 3642159850
[EAN: 9783642159855], Neubuch, [PU: Springer Berlin Heidelberg], ALGORITHMUS BILDBEARBEITUNG BILDVERARBEITUNG GRAFIK (EDV) INFORMATIONSSYSTEM INTELLIGENZ KÜNSTLICHE KI - AI MUSTERERKENNUN… Mehr…
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Pattern Recognition: 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010, Proceedings Michael Goesele Editor - neues Buch
2010, ISBN: 9783642159855
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 … Mehr…
Michael Goesele; Stefan Roth; Arjan Kuijper; Bernt Schiele; Konrad Schindler:
Pattern Recognition - neues Buch2010, ISBN: 9783642159855
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 … Mehr…
2010
ISBN: 9783642159855
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 … Mehr…
2010, ISBN: 9783642159855
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 … Mehr…

2010, ISBN: 3642159850
[EAN: 9783642159855], Neubuch, [PU: Springer Berlin Heidelberg], ALGORITHMUS BILDBEARBEITUNG BILDVERARBEITUNG GRAFIK (EDV) INFORMATIONSSYSTEM INTELLIGENZ KÜNSTLICHE KI - AI MUSTERERKENNUN… Mehr…
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Detailangaben zum Buch - Pattern Recognition
EAN (ISBN-13): 9783642159855
ISBN (ISBN-10): 3642159850
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer Berlin
574 Seiten
Gewicht: 0,600 kg
Sprache: eng/Englisch
Buch in der Datenbank seit 2008-07-22T09:21:30+02:00 (Berlin)
Buch zuletzt gefunden am 2026-07-15T11:34:44+02:00 (Berlin)
ISBN/EAN: 9783642159855
ISBN - alternative Schreibweisen:
3-642-15985-0, 978-3-642-15985-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: schindler michael, gösele, schiele, goes, stefan roth, von roth, bernt, kuijper, konrad michael, schiel, goese
Titel des Buches: pattern recognition, graphic, dagm symposium, darmstadt, proceedings symposium, lecture notes computer science, the pattern, computer vision graphics, germany, image science
Daten vom Verlag:
Autor/in: Michael Goesele; Stefan Roth; Arjan Kuijper; Bernt Schiele; Konrad Schindler, (ORCID: 0000000264130061)
Titel: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Pattern Recognition - 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010, Proceedings
Verlag: Springer; Springer Berlin
574 Seiten
Erscheinungsjahr: 2010-09-13
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XXI, 574 p. 262 illus.
BC; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Maschinelles Sehen, Bildverstehen; Verstehen; Informatik; 3D reconstruction; 3D video; Diffusion; algorithms; belief propagation; camera calibration; classification; depth camera; feature extraction; filtering; image reconstruction; object recognition; pattern recognition; performance evaluation; structured light; algorithm analysis and problem complexity; Computer Vision; Automated Pattern Recognition; Artificial Intelligence; Computer Graphics; Algorithms; Computer and Information Systems Applications; Mustererkennung; Künstliche Intelligenz; Grafikprogrammierung; Algorithmen und Datenstrukturen; Angewandte Informatik; EA
Geometry and Calibration.- 3D Reconstruction Using an n-Layer Heightmap.- Real-Time Dense Geometry from a Handheld Camera.- From Single Cameras to the Camera Network: An Auto-Calibration Framework for Surveillance.- Active Self-calibration of Multi-camera Systems.- Poster Session I.- Optimization on Shape Curves with Application to Specular Stereo.- Unsupervised Facade Segmentation Using Repetitive Patterns.- Image Segmentation with a Statistical Appearance Model and a Generic Mumford-Shah Inspired Outside Model.- Estimating Force Fields of Living Cells – Comparison of Several Regularization Schemes Combined with Automatic Parameter Choice.- Classification of Microorganisms via Raman Spectroscopy Using Gaussian Processes.- Robust Identification of Locally Planar Objects Represented by 2D Point Clouds under Affine Distortions.- Model-Based Recognition of Domino Tiles Using TGraphs.- Slicing the View: Occlusion-Aware View-Based Robot Navigation.- A Contour Matching Algorithm to Reconstruct Ruptured Documents.- Local Structure Analysis by Isotropic Hilbert Transforms.- Complex Motion Models for Simple Optical Flow Estimation.- Tracking People in Broadcast Sports.- A Template-Based Approach for Real-Time Speed-Limit-Sign Recognition on an Embedded System Using GPU Computing.- Inpainting in Multi-image Stereo.- Analysis of Length and Orientation of Microtubules in Wide-Field Fluorescence Microscopy.- Learning Non-stationary System Dynamics Online Using Gaussian Processes.- Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma.- Recognition.- Efficient Object Detection Using Orthogonal NMF Descriptor Hierarchies.- VF-SIFT: Very Fast SIFT Feature Matching.- One-Shot Learning of Object Categories Using Dependent Gaussian Processes.- Learning andOptimization.- Uncertainty Driven Multi-scale Optimization.- The Group-Lasso: ?1,??? Regularization versus ?1,2 Regularization.- Random Fourier Approximations for Skewed Multiplicative Histogram Kernels.- Gaussian Mixture Modeling with Gaussian Process Latent Variable Models.- Applications.- Classification of Swimming Microorganisms Motion Patterns in 4D Digital In-Line Holography Data.- Catheter Tracking: Filter-Based vs. Learning-Based.- Exploiting Redundancy for Aerial Image Fusion Using Convex Optimization.- Poster Session II.- A Convex Approach for Variational Super-Resolution.- Incremental Learning in the Energy Minimisation Framework for Interactive Segmentation.- A Model-Based Approach to the Segmentation of Nasal Cavity and Paranasal Sinus Boundaries.- Wavelet-Based Inpainting for Object Removal from Image Series.- An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM.- N-View Human Silhouette Segmentation in Cluttered, Partially Changing Environments ,.- Nugget-Cut: A Segmentation Scheme for Spherically- and Elliptically-Shaped 3D Objects.- Benchmarking Stereo Data (Not the Matching Algorithms).- Robust Open-Set Face Recognition for Small-Scale Convenience Applications.- Belief Propagation for Improved Color Assessment in Structured Light.- 3D Object Detection Using a Fast Voxel-Wise Local Spherical Fourier Tensor Transformation.- Matte Super-Resolution for Compositing.- An Improved Histogram of Edge Local Orientations for Sketch-Based Image Retrieval.- A Novel Curvature Estimator for Digital Curves and Images.- Local Regression Based Statistical Model Fitting.- Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation.- Motion.- Geometrically Constrained Level Set Tracking forAutomotive Applications.- Interactive Motion Segmentation.- On-Line Multi-view Forests for Tracking.- Low-Level Vision and Features.- Probabilistic Multi-class Scene Flow Segmentation for Traffic Scenes.- A Stochastic Evaluation of the Contour Strength.- Incremental Computation of Feature Hierarchies.- From Box Filtering to Fast Explicit Diffusion.- Surfaces and Materials.- High-Resolution Object Deformation Reconstruction with Active Range Camera.- Selection of an Optimal Polyhedral Surface Model Using the Minimum Description Length Principle.- Learning of Optimal Illumination for Material Classification.Fast-track conference proceedings
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