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Computer Vision – ECCV 2012. Workshops and Demonstrations

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Cover of 'Computer Vision – ECCV 2012. Workshops and Demonstrations'

Table of Contents

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    Book Overview
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    Chapter 1 Putting the Pieces Together: Regularized Multi-part Shape Matching
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    Chapter 2 Combined Motion Estimation and Reconstruction in Tomography
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    Chapter 3 3D Object Classification Using Scale Invariant Heat Kernels with Collaborative Classification
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    Chapter 4 3D Facial Landmark Localization Using Combinatorial Search and Shape Regression
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    Chapter 5 Statistical Shape Analysis for Population Studies via Level-Set Based Shape Morphing
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    Chapter 6 Group-Valued Regularization for Analysis of Articulated Motion
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    Chapter 7 Drawing an Automatic Sketch of Deformable Objects Using Only a Few Images
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    Chapter 8 Superfaces: A Super-Resolution Model for 3D Faces
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    Chapter 9 Stable Spectral Mesh Filtering
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    Chapter 10 Analytical Dynamic Programming Matching
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    Chapter 11 Correspondences of Persistent Feature Points on Near-Isometric Surfaces
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    Chapter 12 3D Reconstruction of Non-Rigid Surfaces in Real-Time Using Wedge Elements
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    Chapter 13 Schrödinger Diffusion for Shape Analysis with Texture
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    Chapter 14 Anchored Deformable Face Ensemble Alignment
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    Chapter 15 Multiple Object Tracking via Prediction and Filtering with a Sobolev-Type Metric on Curves
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    Chapter 16 Facial Model Fitting Based on Perturbation Learning and It’s Evaluation on Challenging Real-World Diversities Images
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    Chapter 17 Adaptive Rendering for Large-Scale Skyline Characterization and Matching
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    Chapter 18 Ultra-wide Baseline Facade Matching for Geo-localization
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    Chapter 19 A Memory Efficient Discriminative Approach for Location Aided Recognition
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    Chapter 20 Weakly Supervised Learning of Object Segmentations from Web-Scale Video
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    Chapter 21 Classifier Ensemble Recommendation
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    Chapter 22 Towards Exhaustive Pairwise Matching in Large Image Collections
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    Chapter 23 Large Vocabularies for Keypoint-Based Representation and Matching of Image Patches
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    Chapter 24 Linearized Smooth Additive Classifiers
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    Chapter 25 Ask’nSeek: A New Game for Object Detection and Labeling
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    Chapter 26 Learning to Match Images in Large-Scale Collections
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    Chapter 27 Efficient Mining of Repetitions in Large-Scale TV Streams with Product Quantization Hashing
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    Chapter 28 An Efficient Parallel Strategy for Matching Visual Self-similarities in Large Image Databases
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    Chapter 29 Atomic Action Features: A New Feature for Action Recognition
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    Chapter 30 Spatio-temporal SIFT and Its Application to Human Action Classification
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    Chapter 31 Statistics of Pairwise Co-occurring Local Spatio-temporal Features for Human Action Recognition
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    Chapter 32 Visual Code-Sentences: A New Video Representation Based on Image Descriptor Sequences
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    Chapter 33 Action Recognition Robust to Background Clutter by Using Stereo Vision
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    Chapter 34 Recognizing Actions across Cameras by Exploring the Correlated Subspace
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    Chapter 35 Chinese Shadow Puppetry with an Interactive Interface Using the Kinect Sensor
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    Chapter 36 Group Dynamics and Multimodal Interaction Modeling Using a Smart Digital Signage
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    Chapter 37 Automated Textual Descriptions for a Wide Range of Video Events with 48 Human Actions
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    Chapter 38 Learning Implicit Transfer for Person Re-identification
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    Chapter 39 Person Re-identification: What Features Are Important?
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    Chapter 40 Towards Person Identification and Re-identification with Attributes
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    Chapter 41 Local Descriptors Encoded by Fisher Vectors for Person Re-identification
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    Chapter 42 Re-identification of Pedestrians in Crowds Using Dynamic Time Warping
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    Chapter 43 Re-identification with RGB-D Sensors
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    Chapter 44 Identity Inference: Generalizing Person Re-identification Scenarios
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    Chapter 45 A General Method for Appearance-Based People Search Based on Textual Queries
  47. Altmetric Badge
    Chapter 46 Lessons from the Primate Visual System
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    Chapter 47 Neural Mechanisms for Form and Motion Detection and Integration: Biology Meets Machine Vision
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    Chapter 48 Neural Fields Models of Visual Areas: Principles, Successes, and Caveats
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    Chapter 49 Visual Cortex as a General-Purpose Information-Processing Device
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    Chapter 50 Reading Out the Synaptic Echoes of Low-Level Perception in V1
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    Chapter 51 Learning Invariant Feature Hierarchies
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    Chapter 52 Fun with Asynchronous Vision Sensors and Processing
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    Chapter 53 Spike-Based Image Processing: Can We Reproduce Biological Vision in Hardware?
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    Chapter 54 PHOG-Derived Aesthetic Measures Applied to Color Photographs of Artworks, Natural Scenes and Objects
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    Chapter 55 Wehrli 2.0 : An Algorithm for “Tidying up Art”
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    Chapter 56 Feature Vector Definition for a Decision Tree Based Craquelure Identification in Old Paintings
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    Chapter 57 Computer-Aided Reclamation of Lost Art
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    Chapter 58 Evaluation of Digital Inpainting Quality in the Context of Artwork Restoration
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    Chapter 59 Shaping Art with Art: Morphological Analysis for Investigating Artistic Reproductions
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    Chapter 60 Artificial Mosaics with Irregular Tiles Based on Gradient Vector Flow
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    Chapter 61 Identification of Illustrators
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    Chapter 62 Locally Consistent ToF and Stereo Data Fusion
Attention for Chapter 52: Fun with Asynchronous Vision Sensors and Processing
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Chapter title
Fun with Asynchronous Vision Sensors and Processing
Chapter number 52
Book title
Computer Vision – ECCV 2012. Workshops and Demonstrations
Published by
Springer, Berlin, Heidelberg, October 2012
DOI 10.1007/978-3-642-33863-2_52
Book ISBNs
978-3-64-233862-5, 978-3-64-233863-2
Authors

Tobi Delbruck, Delbruck, Tobi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Italy 1 2%
Unknown 39 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Researcher 8 20%
Student > Master 7 17%
Student > Bachelor 3 7%
Professor 2 5%
Other 4 10%
Unknown 7 17%
Readers by discipline Count As %
Engineering 17 41%
Computer Science 14 34%
Neuroscience 1 2%
Business, Management and Accounting 1 2%
Unknown 8 20%