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Computer Vision – ECCV 2012

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Table of Contents

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    Book Overview
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    Chapter 1 Diverse M-Best Solutions in Markov Random Fields
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    Chapter 2 Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-MAP
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    Chapter 3 Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces
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    Chapter 4 Continuous Markov Random Fields for Robust Stereo Estimation
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    Chapter 5 Good Regions to Deblur
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    Chapter 6 Patch Complexity, Finite Pixel Correlations and Optimal Denoising
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    Chapter 7 Guaranteed Ellipse Fitting with the Sampson Distance
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    Chapter 8 A Locally Linear Regression Model for Boundary Preserving Regularization in Stereo Matching
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    Chapter 9 A Novel Fast Method for L  ∞  Problems in Multiview Geometry
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    Chapter 10 Visibility Probability Structure from SfM Datasets and Applications
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    Chapter 11 A Generative Model for Online Depth Fusion
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    Chapter 12 Depth Recovery Using an Adaptive Color-Guided Auto-Regressive Model
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    Chapter 13 Learning Hybrid Part Filters for Scene Recognition
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    Chapter 14 Computer Vision – ECCV 2012
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    Chapter 15 Fast Approximations to Structured Sparse Coding and Applications to Object Classification
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    Chapter 16 Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches
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    Chapter 17 Latent Pyramidal Regions for Recognizing Scenes
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    Chapter 18 Computer Vision – ECCV 2012
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    Chapter 19 Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation
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    Chapter 20 People Orientation Recognition by Mixtures of Wrapped Distributions on Random Trees
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    Chapter 21 Hybrid Classifiers for Object Classification with a Rich Background
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    Chapter 22 Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines
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    Chapter 23 A New Biologically Inspired Color Image Descriptor
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    Chapter 24 Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition
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    Chapter 25 Multidimensional Spectral Hashing
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    Chapter 26 What Makes a Good Detector? – Structured Priors for Learning from Few Examples
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    Chapter 27 A Convolutional Treelets Binary Feature Approach to Fast Keypoint Recognition
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    Chapter 28 Categorizing Turn-Taking Interactions
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    Chapter 29 Local Expert Forest of Score Fusion for Video Event Classification
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    Chapter 30 View-Invariant Action Recognition Using Latent Kernelized Structural SVM
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    Chapter 31 Trajectory-Based Modeling of Human Actions with Motion Reference Points
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    Chapter 32 PatchMatchGraph : Building a Graph of Dense Patch Correspondences for Label Transfer
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    Chapter 33 A Unifying Theory of Active Discovery and Learning
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    Chapter 34 Extracting 3D Scene-Consistent Object Proposals and Depth from Stereo Images
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    Chapter 35 Repairing Sparse Low-Rank Texture
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    Chapter 36 Active Frame Selection for Label Propagation in Videos
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    Chapter 37 Non-causal Temporal Prior for Video Deblocking
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    Chapter 38 Text Image Deblurring Using Text-Specific Properties
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    Chapter 39 Sequential Spectral Learning to Hash with Multiple Representations
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    Chapter 40 Two-Granularity Tracking: Mediating Trajectory and Detection Graphs for Tracking under Occlusions
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    Chapter 41 Taking Mobile Multi-object Tracking to the Next Level: People, Unknown Objects, and Carried Items
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    Chapter 42 Dynamic Context for Tracking behind Occlusions
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    Chapter 43 To Track or To Detect? An Ensemble Framework for Optimal Selection
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    Chapter 44 Spatial and Angular Variational Super-Resolution of 4D Light Fields
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    Chapter 45 Blur-Kernel Estimation from Spectral Irregularities
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    Chapter 46 Deconvolving PSFs for a Better Motion Deblurring Using Multiple Images
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    Chapter 47 Depth and Deblurring from a Spectrally-Varying Depth-of-Field
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    Chapter 48 Segmentation over Detection by Coupled Global and Local Sparse Representations
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    Chapter 49 Moving Object Segmentation Using Motor Signals
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    Chapter 50 Block-Sparse RPCA for Consistent Foreground Detection
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    Chapter 51 A Generative Model for Simultaneous Estimation of Human Body Shape and Pixel-Level Segmentation
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    Chapter 52 Visual Dictionary Learning for Joint Object Categorization and Segmentation
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    Chapter 53 People Watching: Human Actions as a Cue for Single View Geometry
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    Chapter 54 Indoor Segmentation and Support Inference from RGBD Images
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    Chapter 55 Beyond the Line of Sight: Labeling the Underlying Surfaces
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    Chapter 56 Depth Extraction from Video Using Non-parametric Sampling
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    Chapter 57 Multiple View Object Cosegmentation Using Appearance and Stereo Cues
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    Chapter 58 Elastic Shape Matching of Parameterized Surfaces Using Square Root Normal Fields
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    Chapter 59 N-tuple Color Segmentation for Multi-view Silhouette Extraction
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    Chapter 60 Motion-Aware Structured Light Using Spatio-Temporal Decodable Patterns
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    Chapter 61 Refractive Calibration of Underwater Cameras
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    Chapter 62 Detection of Independently Moving Objects in Non-planar Scenes via Multi-Frame Monocular Epipolar Constraint
Overall attention for this book and its chapters
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Title
Computer Vision – ECCV 2012
Published by
Springer Berlin Heidelberg, September 2012
DOI 10.1007/978-3-642-33715-4
ISBNs
978-3-64-233714-7, 978-3-64-233715-4
Editors

Fitzgibbon, Andrew, Lazebnik, Svetlana, Perona, Pietro, Sato, Yoichi, Schmid, Cordelia

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Switzerland 4 2%
United Kingdom 3 1%
France 3 1%
Colombia 2 <1%
Japan 2 <1%
China 2 <1%
Germany 2 <1%
Austria 2 <1%
Other 8 4%
Unknown 171 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 32%
Researcher 35 17%
Student > Master 31 15%
Student > Bachelor 13 6%
Professor > Associate Professor 11 5%
Other 19 9%
Unknown 31 15%
Readers by discipline Count As %
Computer Science 103 50%
Engineering 45 22%
Agricultural and Biological Sciences 5 2%
Physics and Astronomy 3 1%
Mathematics 3 1%
Other 10 5%
Unknown 36 18%