Computer Vision - ECCV 2008
Springer Berlin (Verlag)
978-3-540-88692-1 (ISBN)
Segmentation.- Image Segmentation in the Presence of Shadows and Highlights.- Image Segmentation by Branch-and-Mincut.- What Is a Good Image Segment? A Unified Approach to Segment Extraction.- Computational Photography.- Light-Efficient Photography.- Flexible Depth of Field Photography.- Priors for Large Photo Collections and What They Reveal about Cameras.- Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections.- Poster Session IV.- CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching.- Searching the World's Herbaria: A System for Visual Identification of Plant Species.- A Column-Pivoting Based Strategy for Monomial Ordering in Numerical Gröbner Basis Calculations.- Co-recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration.- Movie/Script: Alignment and Parsing of Video and Text Transcription.- Using 3D Line Segments for Robust and Efficient Change Detection from Multiple Noisy Images.- Action Recognition with aBio-inspired Feedforward Motion Processing Model: The Richness of Center-Surround Interactions.- Linking Pose and Motion.- Automated Delineation of Dendritic Networks in Noisy Image Stacks.- Calibration from Statistical Properties of the Visual World.- Regular Texture Analysis as Statistical Model Selection.- Higher Dimensional Affine Registration and Vision Applications.- Semantic Concept Classification by Joint Semi-supervised Learning of Feature Subspaces and Support Vector Machines.- Learning from Real Images to Model Lighting Variations for Face Images.- Toward Global Minimum through Combined Local Minima.- Differential Spatial Resection - Pose Estimation Using a Single Local Image Feature.- Riemannian Anisotropic Diffusion for Tensor Valued Images.- FaceTracer: A Search Engine for Large Collections of Images with Faces.- What Does the Sky Tell Us about the Camera?.- Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux.- Scene Segmentation for BehaviourCorrelation.- Robust Visual Tracking Based on an Effective Appearance Model.- Key Object Driven Multi-category Object Recognition, Localization and Tracking Using Spatio-temporal Context.- A Pose-Invariant Descriptor for Human Detection and Segmentation.- Texture-Consistent Shadow Removal.- Scene Discovery by Matrix Factorization.- Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography.- Constructing Category Hierarchies for Visual Recognition.- Sample Sufficiency and PCA Dimension for Statistical Shape Models.- Locating Facial Features with an Extended Active Shape Model.- Dynamic Integration of Generalized Cues for Person Tracking.- Extracting Moving People from Internet Videos.- Multiple Instance Boost Using Graph Embedding Based Decision Stump for Pedestrian Detection.- Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors.- Making Background Subtraction Robust to Sudden Illumination Changes.- Closed-Form Solution to Non-rigid 3D Surface Registration.- Implementing Decision Trees and Forests on a GPU.- General Imaging Geometry for Central Catadioptric Cameras.- Estimating Radiometric Response Functions from Image Noise Variance.- Solving Image Registration Problems Using Interior Point Methods.- 3D Face Model Fitting for Recognition.- A Multi-scale Vector Spline Method for Estimating the Fluids Motion on Satellite Images.- Continuous Energy Minimization Via Repeated Binary Fusion.- Unified Crowd Segmentation.- Quick Shift and Kernel Methods for Mode Seeking.- A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook.- A Dynamic Conditional Random Field Model for Joint Labeling of Object and Scene Classes.- Local Regularization for Multiclass Classification Facing Significant Intraclass Variations.- Saliency Based Opportunistic Search for Object Part Extraction and Labeling.- Stereo Matching: An Outlier Confidence Approach.- Improving Shape Retrieval by Learning Graph Transduction.- Cat Head Detection - How to Effectively Exploit Shape and Texture Features.- Motion Context: A New Representation for Human Action Recognition.- Active Reconstruction.- Temporal Dithering of Illumination for Fast Active Vision.- Compressive Structured Light for Recovering Inhomogeneous Participating Media.- Passive Reflectometry.- Fusion of Feature- and Area-Based Information for Urban Buildings Modeling from Aerial Imagery.
| Erscheint lt. Verlag | 7.10.2008 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | XIX, 891 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1351 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Schlagworte | Action Recognition • aerial imagery • algorithms • classification • Computervision • Edge Detection • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • Motion Capture • multi body tracking • multi camera • multi-modal sensors • photography • radiance • Segmentation • Stereo Matching • supervised learning • Support Vector Machine • surface matching • surface reconstruction • visually impaired |
| ISBN-10 | 3-540-88692-3 / 3540886923 |
| ISBN-13 | 978-3-540-88692-1 / 9783540886921 |
| Zustand | Neuware |
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