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Image Analysis

Overview of attention for book
Cover of 'Image Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Deep Multi-class Adversarial Specularity Removal
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    Chapter 2 Predicting Novel Views Using Generative Adversarial Query Network
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    Chapter 3 CubiCasa5K: A Dataset and an Improved Multi-task Model for Floorplan Image Analysis
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    Chapter 4 An Efficient Solution for Semantic Segmentation: ShuffleNet V2 with Atrous Separable Convolutions
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    Chapter 5 Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation
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    Chapter 6 Fine-Grained Wood Species Identification Using Convolutional Neural Networks
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    Chapter 7 Spectral-Spatial Hyperspectral Image Classification Using Cascaded Convolutional Neural Networks
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    Chapter 8 Assessing Capsule Networks with Biased Data
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    Chapter 9 Facial Emotion Recognition with Varying Poses and/or Partial Occlusion Using Multi-stage Progressive Transfer Learning
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    Chapter 10 Compressed Imaging at Long Range in SWIR
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    Chapter 11 Zonohedral Approximation of Spherical Structuring Element for Volumetric Morphology
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    Chapter 12 Image Invariants to Anisotropic Gaussian Blur
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    Chapter 13 Material-Based Segmentation of Objects
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    Chapter 14 Filtering Specular Reflections by Merging Stereo Images
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    Chapter 15 Near Lossless JPEG Compression Based on Masking Effect of Non-predictable Energy of Image Regions
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    Chapter 16 Using a Robotic Arm for Measuring BRDFs
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    Chapter 17 Unsupervised Feature Extraction – A CNN-Based Approach
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    Chapter 18 Automatic Detection of Cervical Vertebral Landmarks for Fluoroscopic Joint Motion Analysis
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    Chapter 19 Weight Estimation of Broilers in Images Using 3D Prior Knowledge
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    Chapter 20 Salient Object Detection with CNNs and Multi-scale CRFs
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    Chapter 21 Dimensionality Reduction for Visualization of Time Series and Trajectories
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    Chapter 22 Combining Depth Fusion and Photometric Stereo for Fine-Detailed 3D Models
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    Chapter 23 Camera Localization by Single View Query Using One Circular Target
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    Chapter 24 Global Trifocal Adjustment
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    Chapter 25 A Robust Human Activity Recognition Approach Using OpenPose, Motion Features, and Deep Recurrent Neural Network
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    Chapter 26 Video Frame Interpolation via Cyclic Fine-Tuning and Asymmetric Reverse Flow
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    Chapter 27 Iris Identification in 3D
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    Chapter 28 Parametric Model-Based 3D Human Shape and Pose Estimation from Multiple Views
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    Chapter 29 Efficient Merging of Maps and Detection of Changes
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    Chapter 30 Alignment of Building Footprints Using Quasi-Nadir Aerial Photography
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    Chapter 31 Evaluation of Feature Detectors, Descriptors and Match Filtering Approaches for Historic Repeat Photography
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    Chapter 32 An RNN-Based IMM Filter Surrogate
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    Chapter 33 Real-Time Tracking-by-Detection in Broadcast Sports Videos
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    Chapter 34 Fast Cross Correlation for Limited Angle Tomographic Data
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    Chapter 35 Sulcal and Cortical Features for Classification of Alzheimer’s Disease and Mild Cognitive Impairment
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    Chapter 36 On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool
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    Chapter 37 Parameter Selection for Regularized Electron Tomography Without a Reference Image
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    Chapter 38 Can SPHARM-Based Features from Automated or Manually Segmented Hippocampi Distinguish Between MCI and TLE?
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    Chapter 39 Color Normalization of Blood Cell Images
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    Chapter 40 Generating Diffusion MRI Scalar Maps from T1 Weighted Images Using Generative Adversarial Networks
Overall attention for this book and its chapters
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Title
Image Analysis
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-20205-7
ISBNs
978-3-03-020204-0, 978-3-03-020205-7
Editors

Michael Felsberg, Per-Erik Forssén, Ida-Maria Sintorn, Jonas Unger

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X Demographics

The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
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 > Master 5 22%
Student > Ph. D. Student 5 22%
Student > Doctoral Student 3 13%
Researcher 3 13%
Lecturer > Senior Lecturer 1 4%
Other 1 4%
Unknown 5 22%
Readers by discipline Count As %
Computer Science 7 30%
Engineering 4 17%
Arts and Humanities 1 4%
Agricultural and Biological Sciences 1 4%
Business, Management and Accounting 1 4%
Other 2 9%
Unknown 7 30%