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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 Segmentation of Trabecular Bone for In Vivo CT Imaging Using a Novel Approach of Computing Spatial Variation in Bone and Marrow Intensities
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    Chapter 2 Approximation of N -Way Principal Component Analysis for Organ Data
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    Chapter 3 Bayesian Saliency Model for Focal Liver Lesion Enhancement and Detection
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    Chapter 4 A Novel Iterative Method for Airway Tree Segmentation from CT Imaging Using Multiscale Leakage Detection
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    Chapter 5 Rapid Analytic Optimization of Quadratic ICP Algorithms
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    Chapter 6 Segmentation of Partially Overlapping Convex Objects Using Branch and Bound Algorithm
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    Chapter 7 Classification of Lung Nodule Malignancy Risk on Computed Tomography Images Using Convolutional Neural Network: A Comparison Between 2D and 3D Strategies
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    Chapter 8 A Hybrid Convolutional Neural Network for Plankton Classification
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    Chapter 9 Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network
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    Chapter 10 Detection of Driver Drowsiness Using 3D Deep Neural Network and Semi-Supervised Gradient Boosting Machine
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    Chapter 11 MSTN: Multistage Spatial-Temporal Network for Driver Drowsiness Detection
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    Chapter 12 Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks
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    Chapter 13 Representation Learning, Scene Understanding, and Feature Fusion for Drowsiness Detection
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    Chapter 14 Joint Shape and Local Appearance Features for Real-Time Driver Drowsiness Detection
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    Chapter 15 3D Pose Estimation of a Front-Pointing Hand Using a Random Regression Forest
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    Chapter 16 Fingertips Tracking Algorithm for Guitarist Based on Temporal Grouping and Pattern Analysis
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    Chapter 17 Intuitive Pointing Position Estimation for Large Scale Display Interaction in Top-View Depth Images
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    Chapter 18 Investigating Size Personalization for More Accurate Eye Tracking Glasses
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    Chapter 19 HeadPager: Page Turning with Computer Vision Based Head Interaction
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    Chapter 20 Exploring Manipulation Behavior on Video See-Through Head-Mounted Display with View Interpolation
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    Chapter 21 Multi-cue Information Fusion for Two-Layer Activity Recognition
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    Chapter 22 Piecewise Video Condensation for Complex Scenes
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    Chapter 23 Unsupervised Person Re-identification via Graph-Structured Image Matching
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    Chapter 24 Saliency-Based Person Re-identification by Probability Histogram
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    Chapter 25 Gait Gate: An Online Walk-Through Multimodal Biometric Verification System Using a Single RGB-D Sensor
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    Chapter 26 3D Object Recognition with Enhanced Grassmann Discriminant Analysis
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    Chapter 27 An Extended Sparse Classification Framework for Domain Adaptation in Video Surveillance
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    Chapter 28 BCP-BCS: Best-Fit Cascaded Matching Paradigm with Cohort Selection Using Bezier Curve for Individual Recognition
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    Chapter 29 BEST: Benchmark and Evaluation of Surveillance Task
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    Chapter 30 Multiple-Shot Person Re-identification via Riemannian Discriminative Learning
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    Chapter 31 Visually Similar K -poselets Based Human Pose Recognition
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    Chapter 32 Public Security Video and Image Analysis Challenge: A Retrospective
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    Chapter 33 Multiple-Branches Faster RCNN for Human Parts Detection and Pose Estimation
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    Chapter 34 SPID: Surveillance Pedestrian Image Dataset and Performance Evaluation for Pedestrian Detection
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    Chapter 35 Actions Recognition in Crowd Based on Coarse-to-Fine Multi-object Tracking
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    Chapter 36 Multi-view Multi-exposure Image Fusion Based on Random Walks Model
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    Chapter 37 Attributes and Action Recognition Based on Convolutional Neural Networks and Spatial Pyramid VLAD Encoding
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    Chapter 38 Expression Recognition with Ri-HOG Cascade
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    Chapter 39 The LFW-Gender Dataset
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    Chapter 40 Thermal Imaging Based Elderly Fall Detection
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    Chapter 41 Multi-Scale Hierarchy Deep Feature Aggregation for Compact Image Representations
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    Chapter 42 Glance and Glimpse Network: A Stochastic Attention Model Driven by Class Saliency
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    Chapter 43 Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios
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    Chapter 44 Dense Residual Pyramid Networks for Salient Object Detection
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    Chapter 45 Quantitative Analysis of a Bioplausible Model of Misperception of Slope in the Café Wall Illusion
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    Chapter 46 Image Patch Matching Using Convolutional Descriptors with Euclidean Distance
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Computer Vision – ACCV 2016 Workshops
Published by
Springer International Publishing, March 2017
DOI 10.1007/978-3-319-54526-4
978-3-31-954525-7, 978-3-31-954526-4

Chen, Chu-Song, Lu, Jiwen, Ma, Kai-Kuang

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Student > Master 4 19%
Student > Bachelor 3 14%
Researcher 2 10%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 6 29%
Readers by discipline Count As %
Computer Science 6 29%
Engineering 6 29%
Social Sciences 1 5%
Unknown 8 38%