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Computer Vision – ACCV 2009

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Cover of 'Computer Vision – ACCV 2009'

Table of Contents

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    Book Overview
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    Chapter 1 Multiple View Reconstruction of a Quadric of Revolution from Its Occluding Contours
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    Chapter 2 Robust Focal Length Estimation by Voting in Multi-view Scene Reconstruction
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    Chapter 3 Support Aggregation via Non-linear Diffusion with Disparity-Dependent Support-Weights for Stereo Matching
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    Chapter 4 Manifold Estimation in View-Based Feature Space for Face Synthesis across Poses
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    Chapter 5 Estimating Human Pose from Occluded Images
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    Chapter 6 Head Pose Estimation Based on Manifold Embedding and Distance Metric Learning
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    Chapter 7 3D Reconstruction of Human Motion and Skeleton from Uncalibrated Monocular Video
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    Chapter 8 Mean-Shift Object Tracking with a Novel Back-Projection Calculation Method
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    Chapter 9 A Shape Derivative Based Approach for Crowd Flow Segmentation
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    Chapter 10 Learning Group Activity in Soccer Videos from Local Motion
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    Chapter 11 Combining Discriminative and Descriptive Models for Tracking
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    Chapter 12 From Ramp Discontinuities to Segmentation Tree
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    Chapter 13 Natural Image Segmentation with Adaptive Texture and Boundary Encoding
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    Chapter 14 Gradient Vector Flow over Manifold for Active Contours
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    Chapter 15 3D Motion Segmentation Using Intensity Trajectory
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    Chapter 16 Vehicle Headlights Detection Using Markov Random Fields
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    Chapter 17 A Novel Visual Organization Based on Topological Perception
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    Chapter 18 Multilevel Algebraic Invariants Extraction by Incremental Fitting Scheme
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    Chapter 19 Towards Robust Object Detection: Integrated Background Modeling Based on Spatio-temporal Features
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    Chapter 20 Image Enhancement of Low-Light Scenes with Near-Infrared Flash Images
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    Chapter 21 A Novel Hierarchical Model of Attention: Maximizing Information Acquisition
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    Chapter 22 Interactive Shadow Removal from a Single Image Using Hierarchical Graph Cut
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    Chapter 23 Visual Saliency Based on Conditional Entropy
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    Chapter 24 Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
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    Chapter 25 An Online Framework for Learning Novel Concepts over Multiple Cues
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    Chapter 26 Efficient Partial Shape Matching of Outer Contours
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    Chapter 27 Level Set Segmentation Based on Local Gaussian Distribution Fitting
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    Chapter 28 Categorization of Multiple Objects in a Scene without Semantic Segmentation
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    Chapter 29 Distance-Based Multiple Paths Quantization of Vocabulary Tree for Object and Scene Retrieval
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    Chapter 30 Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles
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    Chapter 31 Incorporating Spatial Correlogram into Bag-of-Features Model for Scene Categorization
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    Chapter 32 Human Action Recognition under Log-Euclidean Riemannian Metric
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    Chapter 33 Clustering-Based Descriptors for Fingerprint Indexing and Fast Retrieval
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    Chapter 34 Temporal-Spatial Local Gaussian Process Experts for Human Pose Estimation
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    Chapter 35 Finger-Vein Recognition Based on a Bank of Gabor Filters
Attention for Chapter 23: Visual Saliency Based on Conditional Entropy
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Chapter title
Visual Saliency Based on Conditional Entropy
Chapter number 23
Book title
Computer Vision – ACCV 2009
Published by
Springer, Berlin, Heidelberg, September 2009
DOI 10.1007/978-3-642-12307-8_23
Book ISBNs
978-3-64-212306-1, 978-3-64-212307-8
Authors

Yin Li, Yue Zhou, Junchi Yan, Zhibin Niu, Jie Yang, Li, Yin, Zhou, Yue, Yan, Junchi, Niu, Zhibin, Yang, Jie

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Malaysia 1 2%
Australia 1 2%
Finland 1 2%
Canada 1 2%
United States 1 2%
Unknown 46 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 35%
Researcher 8 15%
Student > Master 6 12%
Student > Doctoral Student 4 8%
Professor > Associate Professor 3 6%
Other 6 12%
Unknown 7 13%
Readers by discipline Count As %
Computer Science 35 67%
Engineering 6 12%
Agricultural and Biological Sciences 1 2%
Psychology 1 2%
Environmental Science 1 2%
Other 0 0%
Unknown 8 15%