Computer Vision – ECCV 2012

Table of Contents

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   Book Overview
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   Chapter 1 Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysis
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   Chapter 2 SEEDS: Superpixels Extracted via Energy-Driven Sampling
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   Chapter 3 Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database
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   Chapter 4 Learning-Based Symmetry Detection in Natural Images
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   Chapter 5 Similarity Constrained Latent Support Vector Machine: An Application to Weakly Supervised Action Classification
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   Chapter 6 Team Activity Recognition in Sports
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   Chapter 7 Space-Variant Descriptor Sampling for Action Recognition Based on Saliency and Eye Movements
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   Chapter 8 Dynamic Probabilistic CCA for Analysis of Affective Behaviour
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    Chapter 9 Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art
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    Chapter 10 A Probabilistic Approach to Robust Matrix Factorization
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    Chapter 11 Fast Parameter Sensitivity Analysis of PDE-Based Image Processing Methods
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    Chapter 12 The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models
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    Chapter 13 Face Association across Unconstrained Video Frames Using Conditional Random Fields
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    Chapter 14 Contraction Moves for Geometric Model Fitting
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    Chapter 15 General and Nested Wiberg Minimization: L 2 and Maximum Likelihood
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    Chapter 16 Nonmetric Priors for Continuous Multilabel Optimization
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    Chapter 17 Real-Time Camera Tracking: When is High Frame-Rate Best?
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    Chapter 18 A Bayesian Approach to Alignment-Based Image Hallucination
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    Chapter 19 Continuous Regression for Non-rigid Image Alignment
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    Chapter 20 Non-rigid Shape Registration: A Single Linear Least Squares Framework
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    Chapter 21 Robust and Accurate Shape Model Fitting Using Random Forest Regression Voting
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    Chapter 22 Shape from Fluorescence
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    Chapter 23 Separability Oriented Preprocessing for Illumination-Insensitive Face Recognition
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    Chapter 24 Saliency Modeling from Image Histograms
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    Chapter 25 A Theoretical Analysis of Camera Response Functions in Image Deblurring
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    Chapter 26 Robust and Efficient Subspace Segmentation via Least Squares Regression
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    Chapter 27 Local Label Descriptor for Example Based Semantic Image Labeling
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    Chapter 28 Road Scene Segmentation from a Single Image
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    Chapter 29 Efficient Recursive Algorithms for Computing the Mean Diffusion Tensor and Applications to DTI Segmentation
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    Chapter 30 Semi-Nonnegative Matrix Factorization for Motion Segmentation with Missing Data
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    Chapter 31 A Three-Layered Approach to Facade Parsing
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    Chapter 32 Semantic Segmentation with Second-Order Pooling
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    Chapter 33 Shape Sharing for Object Segmentation
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    Chapter 34 Segmentation Propagation in ImageNet
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    Chapter 35 “Clustering by Composition” – Unsupervised Discovery of Image Categories