Computer Vision -- ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part V: Lecture Notes in Computer Science, cartea 6315
Editat de Kostas Daniilidis, Petros Maragos, Nikos Paragiosen Limba Engleză Paperback – 30 aug 2010
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Specificații
ISBN-13: 9783642155543
ISBN-10: 3642155545
Pagini: 830
Ilustrații: XXIII, 807 p. 370 illus.
Greutate: 1.16 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642155545
Pagini: 830
Ilustrații: XXIII, 807 p. 370 illus.
Greutate: 1.16 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
Professional/practitionerCuprins
Spotlights and Posters W2.- Towards Computational Models of the Visual Aesthetic Appeal of Consumer Videos.- Object Recognition Using Junctions.- Using Partial Edge Contour Matches for Efficient Object Category Localization.- Active Mask Hierarchies for Object Detection.- From a Set of Shapes to Object Discovery.- What Does Classifying More Than 10,000 Image Categories Tell Us?.- Modeling and Analysis of Dynamic Behaviors of Web Image Collections.- Non-local Characterization of Scenery Images: Statistics, 3D Reasoning, and a Generative Model.- Efficient Highly Over-Complete Sparse Coding Using a Mixture Model.- Attribute-Based Transfer Learning for Object Categorization with Zero/One Training Example.- Image Classification Using Super-Vector Coding of Local Image Descriptors.- A Discriminative Latent Model of Object Classes and Attributes.- Seeing People in Social Context: Recognizing People and Social Relationships.- Discovering Multipart Appearance Models from Captioned Images.- Voting by Grouping Dependent Parts.- Superpixels and Supervoxels in an Energy Optimization Framework.- Segmentation.- Convex Relaxation for Multilabel Problems with Product Label Spaces.- Graph Cut Based Inference with Co-occurrence Statistics.- Ambrosio-Tortorelli Segmentation of Stochastic Images.- Multiple Hypothesis Video Segmentation from Superpixel Flows.- Object Segmentation by Long Term Analysis of Point Trajectories.- Spotlights and Posters R1.- Exploiting Repetitive Object Patterns for Model Compression and Completion.- Feature Tracking for Wide-Baseline Image Retrieval.- Crowd Detection with a Multiview Sampler.- A Unified Contour-Pixel Model for Figure-Ground Segmentation.- SuperParsing: Scalable Nonparametric Image Parsing with Superpixels.- Segmenting Salient Objects from Images and Videos.- ClassCut for Unsupervised Class Segmentation.- A Dynamic Programming Approach to Reconstructing Building Interiors.- Discriminative Mixture-of-Templates for Viewpoint Classification.- Efficient Non-consecutive Feature Tracking for Structure-from-Motion.- P2?: A Minimal Solution for Registration of 3D Points to 3D Planes.- Boosting Chamfer Matching by Learning Chamfer Distance Normalization.- Geometry Construction from Caustic Images.- Archive Film Restoration Based on Spatiotemporal Random Walks.- Reweighted Random Walks for Graph Matching.- Rotation Invariant Non-rigid Shape Matching in Cluttered Scenes.- Loosely Distinctive Features for Robust Surface Alignment.- Accelerated Hypothesis Generation for Multi-structure Robust Fitting.- Aligning Spatio-Temporal Signals on a Special Manifold.- Supervised Label Transfer for Semantic Segmentation of Street Scenes.- Category Independent Object Proposals.- Photo-Consistent Planar Patches from Unstructured Cloud of Points.- Contour Grouping and Abstraction Using Simple Part Models.- Dynamic Color Flow: A Motion-Adaptive Color Model for Object Segmentation in Video.- What Is the Chance of Happening: A New Way to Predict Where People Look.- Supervised and Unsupervised Clustering with Probabilistic Shift.- Depth-Encoded Hough Voting for Joint Object Detection and Shape Recovery.- Shape Analysis of Planar Objects with Arbitrary Topologies Using Conformal Geometry.- A Coarse-to-Fine Taxonomy of Constellations for Fast Multi-class Object Detection.- Object Classification Using Heterogeneous Co-occurrence Features.- Converting Level Set Gradients to Shape Gradients.- A Close-Form Iterative Algorithm for Depth Inferring from a Single Image.- Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer.- Weakly Supervised Shape Based Object Detection with Particle Filter.- Geodesic Shape Retrieval via Optimal Mass Transport.- Spotlights and Posters R2.- Image Segmentation with Topic Random Field.
Caracteristici
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