Advances in Machine Vision, Image Processing, and Pattern Analysis
Springer Berlin (Verlag)
978-3-540-37597-5 (ISBN)
Object Detection, Tracking and Recognition.- Robust Tracking with and Beyond Visible Spectrum: A Four-Layer Data Fusion Framework.- Scale Space Based Grammar for Hand Detection.- Combined Classifiers for Action Recognition.- Adaptive Sparse Vector Tracking Via Online Bayesian Learning.- Iterative Division and Correlograms for Detection and Tracking of Moving Objects.- Human Pose Estimation from Polluted Silhouettes Using Sub-manifold Voting Strategy.- Kernel Modified Quadratic Discriminant Function for Facial Expression Recognition.- 3D Motion from Image Derivatives Using the Least Trimmed Square Regression.- Motion and Gray Based Automatic Road Segment Method MGARS in Urban Traffic Surveillance.- A Statistically Selected Part-Based Probabilistic Model for Object Recognition.- Approximate Vehicle Waiting Time Estimation Using Adaptive Video-Based Vehicle Tracking.- Mouth Region Localization Method Based on Gaussian Mixture Model.- Traffic Video Segmentation Using Adaptive-K Gaussian Mixture Model.- EM-in-M: Analyze and Synthesize Emotion in Motion.- Pattern Representation and Modeling.- Discriminant Transform Based on Scatter Difference Criterion in Hidden Space.- Looking for Prototypes by Genetic Programming.- Identifying Single Good Clusters in Data Sets.- A New Simplified Gravitational Clustering Method for Multi-prototype Learning Based on Minimum Classification Error Training.- Speaker Identification and Verification Using Support Vector Machines and Sparse Kernel Logistic Regression.- Monitoring Abnormal Patterns with Complex Semantics over ICU Data Streams.- Spatial-temporal Analysis Method of Plane Circuits Based on Two-Layer Cellular Neural Networks.- Feature-Based Synchronization of Video and Background Music.- Visual Pattern Modeling.- An Integration Conceptfor Vision-Based Object Handling: Shape-Capture, Detection and Tracking.- Visual Information Encryption in Frequency Domain: Risk and Enhancement.- Automatic 3D Face Model Reconstruction Using One Image.- Cognitive Approach to Visual Data Interpretation in Medical Information and Recognition Systems.- Modelling the Human Visual Process by Evolving Images from Noise.- A Novel Recovery Algorithm of Incomplete Observation Matrix for Converting 2-D Video to 3-D Content.- Study on the Geolocation Algorithm of Space-Borne SAR Image.- Image Processing.- Perceptual Image Retrieval Using Eye Movements.- A Pseudo-hilbert Scan Algorithm for Arbitrarily-Sized Rectangle Region.- Panoramas from Partially Blurred Video.- Salience-Preserving Image Composition with Luminance Consistency.- Filament Enhancement by Non-linear Volumetric Filtering Using Clustering-Based Connectivity.- Applying Preattentive Visual Guidance in Document Image Analysis.- Efficient and Robust Segmentations Based on Eikonal and Diffusion PDEs.- Local Orientation Estimation in Corrupted Images.- Illumination-Invariant Color Image Correction.- Motion Blur Identification in Noisy Images Using Feed-Forward Back Propagation Neural Network.- Using Shear Invariant for Image Denoising in the Contourlet Domain.- Region-Based Shock-Diffusion Equation for Adaptive Image Enhancement.- A Statistical Level Set Framework for Segmentation of Left Ventricle.- A Bayesian Estimation Approach to Super-Resolution Reconstruction for Face Images.- Hierarchical Markovian Models for Hyperspectral Image Segmentation.- Compression and Coding.- Adaptive Geometry Compression Based on 4-Point Interpolatory Subdivision Schemes.- Parametrization Construction of Integer Wavelet Transforms for Embedded Image Coding.- Reinforcement Learning with Raw Image Pixels as Input State.- New Region of Interest Medical Image Coding for JPEG2000: Compensation-Based Partial Bitplane Alternating Shift.- A New Wavelet Lifting Scheme for Image Compression Applications.- Texture Analysis and Synthesis.- BTF Modelling Using BRDF Texels.- Texture Classification Via Stationary-Wavelet Based Contourlet Transform.- Automatic Color-Texture Image Segmentation by Using Active Contours.
| Erscheint lt. Verlag | 11.8.2006 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | XIV, 514 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 781 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Schlagworte | 3D vision • Algorithm analysis and problem complexity • Algorithmic Learning • algorithms • classification • Clustering • Cognition • computer vision • contour trackin • face reconstruction • filtering • genetic programming • Image Analysis • image denoising • Image Processing • Image Registration • Image Retrieval • Image Segmentation • learning • level set methods • machine • machine learning • motion tracking • Neural networks • Object detection • Object recognition • pattern recognition • Probabilistic Models • Segmentation • Signal Processing • spatial-temporal analysis • Texture Analysis |
| ISBN-10 | 3-540-37597-X / 354037597X |
| ISBN-13 | 978-3-540-37597-5 / 9783540375975 |
| Zustand | Neuware |
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