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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 3D Shape Reconstruction in Traffic Scenarios Using Monocular Camera and Lidar
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    Chapter 2 A 3D Recognition System with Local-Global Collaboration
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    Chapter 3 Comparison of Kinect V1 and V2 Depth Images in Terms of Accuracy and Precision
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    Chapter 4 3D Line Segment Reconstruction in Structured Scenes via Coplanar Line Segment Clustering
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    Chapter 5 Bio-Inspired Architecture for Deriving 3D Models from Video Sequences
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    Chapter 6 DSLIC: A Superpixel Based Segmentation Algorithm for Depth Image
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    Chapter 7 Monocular Depth Estimation of Outdoor Scenes Using RGB-D Datasets
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    Chapter 8 Reconstruction of 3D Models Consisting of Line Segments
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    Chapter 9 3D Estimation of Extensible Surfaces Through a Local Monocular Reconstruction Technique
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    Chapter 10 Disparity Estimation by Simultaneous Edge Drawing
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    Chapter 11 Image-Based Camera Localization for Large and Outdoor Environments
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    Chapter 12 An Efficient Meta-Algorithm for Triangulation
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    Chapter 13 Synchronization Error Compensation of Multi-view RGB-D 3D Modeling System
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    Chapter 14 Can Vehicle Become a New Pattern for Roadside Camera Calibration?
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    Chapter 15 Digital Longmen Project: A Free Walking VR System with Image-Based Restoration
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    Chapter 16 Fast General Norm Approximation via Iteratively Reweighted Least Squares
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    Chapter 17 Radiometry Propagation to Large 3D Point Clouds from Sparsely Sampled Ground Truth
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    Chapter 18 A 3D Reconstruction Method with Color Reproduction from Multi-band and Multi-view Images
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    Chapter 19 Out of Time: Automated Lip Sync in the Wild
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    Chapter 20 Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System
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    Chapter 21 Concatenated Frame Image Based CNN for Visual Speech Recognition
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    Chapter 22 Multi-view Automatic Lip-Reading Using Neural Network
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    Chapter 23 Lip Reading from Multi View Facial Images Using 3D-AAM
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    Chapter 24 Face Detection by Aggregating Visible Components
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    Chapter 25 Deep Architectures for Face Attributes
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    Chapter 26 Automatic Micro-expression Recognition from Long Video Using a Single Spotted Apex
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    Chapter 27 Failure Detection for Facial Landmark Detectors
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    Chapter 28 Fitting a 3D Morphable Model to Edges: A Comparison Between Hard and Soft Correspondences
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    Chapter 29 Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning
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    Chapter 30 Reliable Age Estimation Based on Apt Gabor Features Selection and SVM
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    Chapter 31 VFSC: A Very Fast Sparse Clustering to Cluster Faces from Videos
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    Chapter 32 Deep or Shallow Facial Descriptors? A Case for Facial Attribute Classification and Face Retrieval
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    Chapter 33 A Main Directional Maximal Difference Analysis for Spotting Micro-expressions
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    Chapter 34 Aesthetic Evaluation of Facial Portraits Using Compositional Augmentation for Deep CNNs
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    Chapter 35 Discrete Polynomial Curve Fitting Guaranteeing Inclusion-Wise Maximality of Inlier Set
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    Chapter 36 A Discrete Approach for Decomposing Noisy Digital Contours into Arcs and Segments
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    Chapter 37 Mathematical Morphology on Irregularly Sampled Signals
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    Chapter 38 Adaptive Moving Shadows Detection Using Local Neighboring Information
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    Chapter 39 Cell Lineage Tree Reconstruction from Time Series of 3D Images of Zebrafish Embryogenesis
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    Chapter 40 Binary Pattern Dictionary Learning for Gene Expression Representation in Drosophila Imaginal Discs
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    Chapter 41 T-Test Based Adaptive Random Walk Segmentation Under Multiplicative Speckle Noise Model
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    Chapter 42 Langerhans Islet Volume Estimation from 3D Optical Projection Tomography
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    Chapter 43 Level Set Segmentation of Brain Matter Using a Trans-Roto-Scale Invariant High Dimensional Feature
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    Chapter 44 Discriminative Subtree Selection for NBI Endoscopic Image Labeling
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    Chapter 45 Modelling Respiration Induced Torso Deformation Using a Mesh Fitting Algorithm
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Title
Computer Vision – ACCV 2016 Workshops
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-54427-4
ISBNs
978-3-31-954426-7, 978-3-31-954427-4
Editors

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

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Master 4 17%
Student > Bachelor 2 9%
Researcher 1 4%
Unknown 12 52%
Readers by discipline Count As %
Computer Science 8 35%
Engineering 3 13%
Unknown 12 52%