Pattern Recognition - neues Buch

EAN (ISBN-13): 9783540287032
ISBN (ISBN-10): 3540287035
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2005
Herausgeber: Springer
532 Seiten
Gewicht: 0,795 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-04-27T18:37:11+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-04-15T19:57:25+02:00 (Berlin)
ISBN/EAN: 9783540287032

ISBN - alternative Schreibweisen:
3-540-28703-5, 978-3-540-28703-2
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: hanbury, kropat, walter robert fuchs, allan
Titel des Buches: pattern recognition, computer vision graphics image processing, dagm symposium, little vienna, new vienna now, who who austria, august, ufo symposium, 2005

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Daten vom Verlag:

Autor/in: Walter Kropatsch; Robert Sablatnig; Allan Hanbury
Titel: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Pattern Recognition - 27th DAGM Symposium, Vienna, Austria, August 31 - September 2, 2005, Proceedings
Verlag: Springer; Springer Berlin
514 Seiten
Erscheinungsjahr: 2005-08-18
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XIV, 514 p.

BC; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Mustererkennung; Verstehen; 3D; Automat; Stereo; learning; modeling; pattern recognition; stereo vision; uncertainty; algorithm analysis and problem complexity; Automated Pattern Recognition; Computer Vision; Artificial Intelligence; Computer Graphics; Algorithms; Maschinelles Sehen, Bildverstehen; Künstliche Intelligenz; Grafikprogrammierung; Algorithmen und Datenstrukturen; EA

Color Analysis.- On Determining the Color of the Illuminant Using the Dichromatic Reflection Model.- Probabilistic Color Optical Flow.- Illumination Invariant Color Texture Analysis Based on Sum- and Difference-Histograms.- Color Image Compression: Early Vision and the Multiresolution Representations.- Stereo Vision.- Optic Flow Goes Stereo: A Variational Method for Estimating Discontinuity-Preserving Dense Disparity Maps.- Lens Model Selection for Visual Tracking.- Omnidirectional Vision with Frontal Stereo.- Stereo Vision Based Reconstruction of Huge Urban Areas from an Airborne Pushbroom Camera (HRSC).- Calibration–Free Hand–Eye Calibration: A Structure–from–Motion Approach.- Invited Paper.- Simple Solvers for Large Quadratic Programming Tasks.- Segmentation and Grouping.- Voxel-Wise Gray Scale Invariants for Simultaneous Segmentation and Classification.- Automatic Foreground Propagation in Image Sequences for 3D Reconstruction.- Agglomerative Grouping of Observations by Bounding Entropy Variation.- Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation.- Goal-Directed Search with a Top-Down Modulated Computational Attention System.- Automatic Speech Understanding.- Telephone-Based Speech Dialog Systems.- Robust Parallel Speech Recognition in Multiple Energy Bands.- Pronunciation Feature Extraction.- Multi-lingual and Multi-modal Speech Processing and Applications.- 3D View Registration and Surface Modeling.- Cluster-Based Point Cloud Analysis for Rapid Scene Interpretation.- A Novel Parameter Decomposition Approach to Faithful Fitting of Quadric Surfaces.- 3D Surface Reconstruction by Combination of Photopolarimetry and Depth from Defocus.- Vision-Based 3D Object Localization Using Probabilistic Models of Appearance.- ProjectiveModel for Central Catadioptric Cameras Using Clifford Algebra.- A New Methodology for Determination and Correction of Lens Distortion in 3D Measuring Systems Using Fringe Projection.- A Method for Fast Search of Variable Regions on Dynamic 3D Point Clouds.- 6D-Vision: Fusion of Stereo and Motion for Robust Environment Perception.- A Method for Determining Geometrical Distortion of Off-The-Shelf Wide-Angle Cameras.- Motion and Tracking.- A System for Marker-Less Human Motion Estimation.- A Fast Algorithm for Statistically Optimized Orientation Estimation.- A Direct Method for Real-Time Tracking in 3-D Under Variable Illumination.- Efficient Combination of Histograms for Real-Time Tracking Using Mean-Shift and Trust-Region Optimization.- Spiders as Robust Point Descriptors.- A Comparative Evaluation of Template and Histogram Based 2D Tracking Algorithms.- Bayesian Method for Motion Segmentation and Tracking in Compressed Videos.- Nonlinear Body Pose Estimation from Depth Images.- Computational Learning.- Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort.- Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture.- Semidefinite Clustering for Image Segmentation with A-priori Knowledge.- Separable Linear Discriminant Classification.- Improving a Discriminative Approach to Object Recognition Using Image Patches.- Comparison of Multiclass SVM Decomposition Schemes for Visual Object Recognition.- Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes.- Over-Complete Wavelet Approximation of a Support Vector Machine for Efficient Classification.- Regularization on Discrete Spaces.- Recognition of 3D Objects by Learning from Correspondences in a Sequence of Unlabeled Training Images.- Self-learning Segmentation and Classification of Cell-Nuclei in 3D Volumetric Data Using Voxel-Wise Gray Scale Invariants.- Applications.- License Plate Character Segmentation Using Hidden Markov Chains.- Digital Subtraction CT Lung Perfusion Image Based on 3D Affine Registration.- Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition.- Volumetric Analysis of a Sinter Process in Time.- Network Snakes-Supported Extraction of Field Boundaries from Imagery.- Structure Features for Content-Based Image Retrieval.- Blind Background Subtraction in Dental Panoramic X-Ray Images: An Application Approach.- Robust Head Detection and Tracking in Cluttered Workshop Environments Using GMM.- Uncertainity and Robustness.- Stability and Local Feature Enhancement of Higher Order Nonlinear Diffusion Filtering.- Estimation of Geometric Entities and Operators from Uncertain Data.- Wiener Channel Smoothing: Robust Wiener Filtering of Images.- Signal and Noise Adapted Filters for Differential Motion Estimation.- Variational Deblurring of Images with Uncertain and Spatially Variant Blurs.- Energy Tensors: Quadratic, Phase Invariant Image Operators.- Invited Paper.- Object Categorization and the Need for Many-to-Many Matching.