Computer Vision - Eccv 2008 - Forsyth David (Curatore); Torr Philip (Curatore); Zisserman Andrew (Curatore) | Libro Springer Berlin Heidelberg 10/2008 -

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forsyth david (curatore); torr philip (curatore); zisserman andrew (curatore) - computer vision - eccv 2008

Computer Vision - ECCV 2008 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part IV

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Lingua: Inglese
Pubblicazione: 10/2008
Edizione: 2008


Welcome to the 2008EuropeanConference onComputer Vision. These proce- ings are the result of a great deal of hard work by many people. To produce them, a total of 871 papers were reviewed. Forty were selected for oral pres- tation and 203 were selected for poster presentation, yielding acceptance rates of 4.6% for oral, 23.3% for poster, and 27.9% in total. Weappliedthreeprinciples.First,sincewehadastronggroupofAreaChairs, the ?nal decisions to accept or reject a paper rested with the Area Chair, who wouldbeinformedbyreviewsandcouldactonlyinconsensuswithanotherArea Chair. Second, we felt that authors were entitled to a summary that explained how the Area Chair reached a decision for a paper. Third, we were very careful to avoid con?icts of interest. Each paper was assigned to an Area Chair by the Program Chairs, and each Area Chair received a pool of about 25 papers. The Area Chairs then identi?ed and rankedappropriatereviewersfor eachpaper in their pool, and a constrained optimization allocated three reviewers to each paper. We are very proud that every paper received at least three reviews. At this point, authors were able to respond to reviews. The Area Chairs then needed to reach a decision. We used a series of procedures to ensure careful review and to avoid con?icts of interest. ProgramChairs did not submit papers. The Area Chairs were divided into three groups so that no Area Chair in the group was in con?ict with any paper assigned to any Area Chair in the group.


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 a Bio–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 Behaviour Correlation.- 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.

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Condizione: Nuovo
Collana: Lecture Notes in Computer Science
Dimensioni: 235 x 155 mm Ø 1377 gr
Formato: Brossura
Pagine Arabe: 891
Pagine Romane: xix

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