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Computer Vision – ECCV 2012

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Polynomial Regression on Riemannian Manifolds
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    Chapter 2 Approximate Gaussian Mixtures for Large Scale Vocabularies
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    Chapter 3 Geodesic Saliency Using Background Priors
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    Chapter 4 Joint Face Alignment with Non-parametric Shape Models
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    Chapter 5 Discriminative Bayesian Active Shape Models
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    Chapter 6 Patch Based Synthesis for Single Depth Image Super-Resolution
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    Chapter 7 Annotation Propagation in Large Image Databases via Dense Image Correspondence
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    Chapter 8 Numerically Stable Optimization of Polynomial Solvers for Minimal Problems
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    Chapter 9 Has My Algorithm Succeeded? An Evaluator for Human Pose Estimators
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    Chapter 10 Group Tracking: Exploring Mutual Relations for Multiple Object Tracking
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    Chapter 11 A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness
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    Chapter 12 Robust Tracking with Weighted Online Structured Learning
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    Chapter 13 Fast Regularization of Matrix-Valued Images
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    Chapter 14 Blind Correction of Optical Aberrations
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    Chapter 15 Inverse Rendering of Faces on a Cloudy Day
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    Chapter 16 On Tensor-Based PDEs and Their Corresponding Variational Formulations with Application to Color Image Denoising
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    Chapter 17 Kernelized Temporal Cut for Online Temporal Segmentation and Recognition
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    Chapter 18 Grain Segmentation of 3D Superalloy Images Using Multichannel EWCVT under Human Annotation Constraints
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    Chapter 19 Computer Vision – ECCV 2012
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    Chapter 20 Learning to Segment a Video to Clips Based on Scene and Camera Motion
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    Chapter 21 Evaluation of Image Segmentation Quality by Adaptive Ground Truth Composition
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    Chapter 22 Exact Acceleration of Linear Object Detectors
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    Chapter 23 Latent Hough Transform for Object Detection
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    Chapter 24 Using Linking Features in Learning Non-parametric Part Models
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    Chapter 25 Diagnosing Error in Object Detectors
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    Chapter 26 Attributes for Classifier Feedback
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    Chapter 27 Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes
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    Chapter 28 Renormalization Returns: Hyper-renormalization and Its Applications
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    Chapter 29 Scale Robust Multi View Stereo
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    Chapter 30 Laplacian Meshes for Monocular 3D Shape Recovery
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    Chapter 31 Soft Inextensibility Constraints for Template-Free Non-rigid Reconstruction
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    Chapter 32 Spatiotemporal Descriptor for Wide-Baseline Stereo Reconstruction of Non-rigid and Ambiguous Scenes
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    Chapter 33 Elevation Angle from Reflectance Monotonicity: Photometric Stereo for General Isotropic Reflectances
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    Chapter 34 Local Log-Euclidean Covariance Matrix (L 2 ECM) for Image Representation and Its Applications
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    Chapter 35 Ensemble Partitioning for Unsupervised Image Categorization
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    Chapter 36 Set Based Discriminative Ranking for Recognition
  38. Altmetric Badge
    Chapter 37 Computer Vision – ECCV 2012
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    Chapter 38 Are You Really Smiling at Me? Spontaneous versus Posed Enjoyment Smiles
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    Chapter 39 Efficient Monte Carlo Sampler for Detecting Parametric Objects in Large Scenes
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    Chapter 40 Supervised Geodesic Propagation for Semantic Label Transfer
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    Chapter 41 Bayesian Face Revisited: A Joint Formulation
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    Chapter 42 Beyond Bounding-Boxes: Learning Object Shape by Model-Driven Grouping
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    Chapter 43 In Defence of Negative Mining for Annotating Weakly Labelled Data
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    Chapter 44 Describing Clothing by Semantic Attributes
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    Chapter 45 Graph Matching via Sequential Monte Carlo
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    Chapter 46 Jet-Based Local Image Descriptors
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    Chapter 47 Abnormal Object Detection by Canonical Scene-Based Contextual Model
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    Chapter 48 Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation
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    Chapter 49 Interactive Facial Feature Localization
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    Chapter 50 Propagative Hough Voting for Human Activity Recognition
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    Chapter 51 Spatio-Temporal Phrases for Activity Recognition
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    Chapter 52 Complex Events Detection Using Data-Driven Concepts
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    Chapter 53 Directional Space-Time Oriented Gradients for 3D Visual Pattern Analysis
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    Chapter 54 Learning to Recognize Unsuccessful Activities Using a Two-Layer Latent Structural Model
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    Chapter 55 Action Recognition Using Subtensor Constraint
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    Chapter 56 Globally Optimal Closed-Surface Segmentation for Connectomics
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    Chapter 57 Reduced Analytical Dependency Modeling for Classifier Fusion
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    Chapter 58 Learning to Match Appearances by Correlations in a Covariance Metric Space
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    Chapter 59 On the Convergence of Graph Matching: Graduated Assignment Revisited
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    Chapter 60 Image Annotation Using Metric Learning in Semantic Neighbourhoods
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    Chapter 61 Dynamic Programming for Approximate Expansion Algorithm
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    Chapter 62 Real-Time Compressive Tracking
Attention for Chapter 1: Polynomial Regression on Riemannian Manifolds
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Chapter title
Polynomial Regression on Riemannian Manifolds
Chapter number 1
Book title
Computer Vision – ECCV 2012
Published by
Springer, Berlin, Heidelberg, October 2012
DOI 10.1007/978-3-642-33712-3_1
Book ISBNs
978-3-64-233711-6, 978-3-64-233712-3
Authors

Jacob Hinkle, Prasanna Muralidharan, P. Thomas Fletcher, Sarang Joshi, Hinkle, Jacob, Muralidharan, Prasanna, Fletcher, P. Thomas, Joshi, Sarang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United States 1 2%
France 1 2%
Italy 1 2%
Unknown 51 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 29%
Student > Master 7 13%
Researcher 7 13%
Professor > Associate Professor 5 9%
Student > Bachelor 4 7%
Other 9 16%
Unknown 7 13%
Readers by discipline Count As %
Computer Science 20 36%
Mathematics 10 18%
Engineering 9 16%
Neuroscience 3 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 2 4%
Unknown 10 18%