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Computer Vision – ACCV 2016 Workshops

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Table of Contents

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    Book Overview
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    Chapter 1 Blind Image Deblurring Using Elastic-Net Based Rank Prior
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    Chapter 2 Single Image Dehazing Using Fixed Points and Nearest-Neighbor Regularization
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    Chapter 3 Robust Noisy Image Super-Resolution Using $$\ell _1$$ -norm Regularization and Non-local Constraint
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    Chapter 4 CNN-GRNN for Image Sharpness Assessment
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    Chapter 5 Model and Dictionary Guided Face Inpainting in the Wild
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    Chapter 6 Patch Group Based Bayesian Learning for Blind Image Denoising
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    Chapter 7 Low-Rank Tensor Recovery and Alignment Based on $$\ell _p$$ Minimization
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    Chapter 8 Debluring Low-Resolution Images
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    Chapter 9 Visual Smoke Detection
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    Chapter 10 Local Feature-Based Photo Album Compression by Eliminating Redundancy of Human Partition
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    Chapter 11 Generic 3D Convolutional Fusion for Image Restoration
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    Chapter 12 Video Super Resolution Using Non-Local Means with Adaptive Decaying Factor and Searching Window
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    Chapter 13 Single Image Super-Resolution Reconstruction Based on Edge-Preserving with External and Internal Gradient Prior Knowledge
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    Chapter 14 A Dual Adaptive Regularization Method to Remove Mixed Gaussian-Poisson Noise
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    Chapter 15 A Study of Combining Re-coloring and Adding Patterns to Images for Dichromats
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    Chapter 16 Calorie Counter: RGB-Depth Visual Estimation of Energy Expenditure at Home
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    Chapter 17 Emotion Understanding Using Multimodal Information Based on Autobiographical Memories for Alzheimer’s Patients
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    Chapter 18 Video Captioning via Sentence Augmentation and Spatio-Temporal Attention
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    Chapter 19 Bottom-Up Fixation Prediction Using Unsupervised Hierarchical Models
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    Chapter 20 Face Detection and Object Recognition for a Retinal Prosthesis
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    Chapter 21 Spectral Dichromatic Parameter Recovery from Two Views via Total Variation Hyper-priors
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    Chapter 22 A Combinatorial Approach for Hyperspectral Image Segmentation
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    Chapter 23 Hyperspectral Image Classification via a Joint Weighted K-Nearest Neighbour Approach
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    Chapter 24 Perceptual Color Classification Based on Lightning Environment with Hyperspectral Data
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    Chapter 25 Joint Multiview Fused ELM Learning with Propagation Filter for Hyperspectral Image Classification
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    Chapter 26 Unsupervised Band Selection Based on Group-Based Sparse Representation
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    Chapter 27 Cost-Based Feature Transfer for Vehicle Occupant Classification
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    Chapter 28 The World Is Changing: Finding Changes on the Street
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    Chapter 29 Pedestrian and Vehicle Detection and Tracking with Object-Driven Vanishing Line Estimation
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    Chapter 30 Recognition of Texting-While-Walking by Joint Features Based on Arm and Head Poses
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    Chapter 31 A Motion Robust Remote-PPG Approach to Driver’s Health State Monitoring
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    Chapter 32 Instance-Level Segmentation of Vehicles by Deep Contours
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    Chapter 33 STFCN: Spatio-Temporal Fully Convolutional Neural Network for Semantic Segmentation of Street Scenes
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    Chapter 34 LBP-TOP: A Tensor Unfolding Revisit
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    Chapter 35 3D Convolutional Neural Networks for Facial Expression Classification
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    Chapter 36 Suppression of Alpha Oscillation During Micro-expression Recognition
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    Chapter 37 Distinguishing Posed and Spontaneous Smiles by Facial Dynamics
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    Chapter 38 Affective Gait Recognition and Baseline Evaluation from Real World Samples
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    Chapter 39 Weighted Non-locally Self-similarity Sparse Representation for Face Deblurring
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    Chapter 40 Fiducial Points Detection of a Face Using RBF-SVM and Adaboost Classification
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    Chapter 41 Real-Time Head Pose Estimation on Mobile Devices
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    Chapter 42 DNA-SLAM: Dense Noise Aware SLAM for ToF RGB-D Cameras
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    Chapter 43 3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR)
Attention for Chapter 27: Cost-Based Feature Transfer for Vehicle Occupant Classification
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Chapter title
Cost-Based Feature Transfer for Vehicle Occupant Classification
Chapter number 27
Book title
Computer Vision – ACCV 2016 Workshops
Published by
Springer, Cham, November 2016
DOI 10.1007/978-3-319-54407-6_27
Book ISBNs
978-3-31-954406-9, 978-3-31-954407-6
Authors

Toby Perrett, Majid Mirmehdi, Perrett, Toby, Mirmehdi, Majid

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 21%
Student > Ph. D. Student 3 21%
Student > Bachelor 2 14%
Researcher 2 14%
Professor 1 7%
Other 1 7%
Unknown 2 14%
Readers by discipline Count As %
Engineering 5 36%
Computer Science 4 29%
Business, Management and Accounting 1 7%
Unknown 4 29%