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Computer Vision -- ECCV 2014

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Cover of 'Computer Vision -- ECCV 2014'

Table of Contents

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    Book Overview
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    Chapter 1 Visual Tracking by Sampling Tree-Structured Graphical Models
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    Chapter 2 Tracking Interacting Objects Optimally Using Integer Programming
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    Chapter 3 Learning Latent Constituents for Recognition of Group Activities in Video
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    Chapter 4 Large-Scale Object Classification Using Label Relation Graphs
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    Chapter 5 30Hz Object Detection with DPM V5
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    Chapter 6 Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection
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    Chapter 7 Linking People in Videos with “Their” Names Using Coreference Resolution
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    Chapter 8 Optimal Essential Matrix Estimation via Inlier-Set Maximization
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    Chapter 9 UPnP: An Optimal O(n) Solution to the Absolute Pose Problem with Universal Applicability
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    Chapter 10 3D Reconstruction of Dynamic Textures in Crowd Sourced Data
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    Chapter 11 3D Interest Point Detection via Discriminative Learning
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    Chapter 12 Pose Locality Constrained Representation for 3D Human Pose Reconstruction
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    Chapter 13 Synchronization of Two Independently Moving Cameras without Feature Correspondences
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    Chapter 14 Multi Focus Structured Light for Recovering Scene Shape and Global Illumination
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    Chapter 15 Coplanar Common Points in Non-centric Cameras
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    Chapter 16 SRA: Fast Removal of General Multipath for ToF Sensors
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    Chapter 17 Sub-pixel Layout for Super-Resolution with Images in the Octic Group
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    Chapter 18 Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition
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    Chapter 19 Computer Vision – ECCV 2014
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    Chapter 20 Multilinear Wavelets: A Statistical Shape Space for Human Faces
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    Chapter 21 Distance Estimation of an Unknown Person from a Portrait
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    Chapter 22 Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model
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    Chapter 23 Description-Discrimination Collaborative Tracking
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    Chapter 24 Online, Real-Time Tracking Using a Category-to-Individual Detector
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    Chapter 25 Robust Visual Tracking with Double Bounding Box Model
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    Chapter 26 Tractable and Reliable Registration of 2D Point Sets
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    Chapter 27 Graduated Consistency-Regularized Optimization for Multi-graph Matching
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    Chapter 28 Optical Flow Estimation with Channel Constancy
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    Chapter 29 Non-local Total Generalized Variation for Optical Flow Estimation
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    Chapter 30 Learning Brightness Transfer Functions for the Joint Recovery of Illumination Changes and Optical Flow
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    Chapter 31 Hipster Wars: Discovering Elements of Fashion Styles
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    Chapter 32 From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields
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    Chapter 33 Fast and Accurate Texture Recognition with Multilayer Convolution and Multifractal Analysis
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    Chapter 34 Learning to Rank 3D Features
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    Chapter 35 Salient Color Names for Person Re-identification
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    Chapter 36 Learning Discriminative and Shareable Features for Scene Classification
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    Chapter 37 Image Retrieval and Ranking via Consistently Reconstructing Multi-attribute Queries
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    Chapter 38 Neural Codes for Image Retrieval
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    Chapter 39 Architectural Style Classification Using Multinomial Latent Logistic Regression
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    Chapter 40 Instance Segmentation of Indoor Scenes Using a Coverage Loss
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    Chapter 41 Superpixel Graph Label Transfer with Learned Distance Metric
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    Chapter 42 Precision-Recall-Classification Evaluation Framework: Application to Depth Estimation on Single Images
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    Chapter 43 A Multi-stage Approach to Curve Extraction
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    Chapter 44 Geometry Driven Semantic Labeling of Indoor Scenes
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    Chapter 45 A Novel Topic-Level Random Walk Framework for Scene Image Co-segmentation
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    Chapter 46 Surface Matching and Registration by Landmark Curve-Driven Canonical Quasiconformal Mapping
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    Chapter 47 Motion Words for Videos
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    Chapter 48 Activity Group Localization by Modeling the Relations among Participants
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    Chapter 49 Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach
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    Chapter 50 Semantic Aware Video Transcription Using Random Forest Classifiers
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    Chapter 51 Ranking Domain-Specific Highlights by Analyzing Edited Videos
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    Chapter 52 A Multi-transformational Model for Background Subtraction with Moving Cameras
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    Chapter 53 Visualizing and Understanding Convolutional Networks
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    Chapter 54 Part-Based R-CNNs for Fine-Grained Category Detection
Attention for Chapter 29: Non-local Total Generalized Variation for Optical Flow Estimation
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Citations

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Chapter title
Non-local Total Generalized Variation for Optical Flow Estimation
Chapter number 29
Book title
Computer Vision – ECCV 2014
Published by
Springer, Cham, September 2014
DOI 10.1007/978-3-319-10590-1_29
Book ISBNs
978-3-31-910589-5, 978-3-31-910590-1
Authors

René Ranftl, Kristian Bredies, Thomas Pock

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 3 4%
United Kingdom 2 3%
France 1 1%
Germany 1 1%
United States 1 1%
Unknown 60 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 46%
Researcher 8 12%
Student > Master 6 9%
Student > Postgraduate 3 4%
Student > Bachelor 2 3%
Other 7 10%
Unknown 11 16%
Readers by discipline Count As %
Computer Science 35 51%
Engineering 14 21%
Mathematics 3 4%
Sports and Recreations 1 1%
Physics and Astronomy 1 1%
Other 0 0%
Unknown 14 21%