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Computer Analysis of Images and Patterns : 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part I / edited by Nicolas Tsapatsoulis, Andreas Panayides, Theo Theocharides, Andreas Lanitis, Constantinos Pattichis, Mario Vento.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Tsapatsoulis, Nicolas., Editor.
Panayides, Andreas., Editor.
Theocharides, Theo., Editor.
Lanitis, Andreas., Editor.
Pattichis, Constantinos., Editor.
Vento, Mario., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 13052
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 13052
Language:
English
Subjects (All):
Computer vision.
Machine learning.
Computer engineering.
Computer networks.
Computer Vision.
Machine Learning.
Computer Engineering and Networks.
Local Subjects:
Computer Vision.
Machine Learning.
Computer Engineering and Networks.
Physical Description:
1 online resource (XXII, 500 pages) : 194 illustrations, 162 illustrations in color.
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
The two volume set LNCS 13052 and 13053 constitutes the refereed proceedings of the 19th International Conference on Computer Analysis of Images and Patterns, CAIP 2021, held virtually, in September 2021. The 87 papers presented were carefully reviewed and selected from 129 submissions. The papers are organized in the following topical sections across the 2 volumes: 3D vision, biomedical image and pattern analysis; machine learning; feature extractions; object recognition; face and gesture, guess the age contest, biometrics, cryptography and security; and segmentation and image restoration.
Contents:
3D Vision
Simultaneous Bi-Directional Structured Light Encoding for Practical Uncalibrated Profilometry
Joint Global ICP for Improved Automatic Alignment of Full Turn Object Scans
Fast Projector-Driven Structured Light Matching in Sub-Pixel Accuracy using Bilinear Interpolation Assumption
Pyramidal Layered Scene Inference with Image Outpainting for Monocular View Synthesis
Out of the Box: Embodied Navigation in the Real World.-Toward a novel LSB-based collusion-secure fingerprinting schema for 3D video
A Combinatorial Coordinate System for the Vertices in the Octagonal C4C8 ( R) Grid
Bilingual Speech Recognition by Estimating Speaker Geometry from Video Data
Cost-efficient Color Correction Approach on Uncontrolled Lighting Conditions
HPA-Net: Hierarchical and Parallel Aggregation Network for Context Learning in Stereo Matching
MTStereo 2.0: accurate stereo depth estimation via Max-tree matching
Biomedical Image and Pattern Analysis
H-OCS: a hybrid optic cup segmentation of retinal images
Retinal Vessel Segmentation using Blending-based Conditional Generative Adversarial Networks
U-shaped densely connected Convolutions for Left ventricle segmentation from CMR images
Deep Learning approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images
Shape Analysis Approach towards Assessment of Cleft Lip Repair Outcome
MMEC: Multi-Modal Ensemble Classifier for Protein Secondary Structure Prediction
Breast Cancer Brain Metastasis: Automated MRI Image Analysis for the Prediction of Primary Cancer Using Radiomics
An Adaptive Semi-Automated Integrated System for Multiple Sclerosis Lesion Segmentation in Longitudinal MRI Scans Based on a Convolutional Neural Network
A Three-Dimensional Reconstruction Integrated System for Brain Multiple Sclerosis Lesions
Rule Extraction in the Assessment of Brain MRI Lesions in Multiple Sclerosis: Preliminary Findings
Invariant Moments, Textural and Deep features for Diagnostic MR and CT Image Retrieval
Toward multiwavelet Haar-Schauder entropy for biomedical signal reconstruction
Machine Learning
Handling Missing Observations with an RNN-based Prediction-Update Cycle
eGAN: Unsupervised approach to class imbalance using transfer learning
Progressive Contextual Excitation for Smart Farming Application
Fine-Grained Image Classification for Pollen Grain Microscope Images
Adaptive Style Transfer Using SISR
Object-Centric Anomaly Detection using Memory Augmentation
Document Language Classification: Hierarchical Model With Deep Learning Approach
Parsing Digitized Vietnamese Paper Documents
EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning
Learning to Navigate in the Gaussian Mixture Surface
A Deep Hybrid Approach For Hate Speech Analysis
On improving generalization of CNN-based image classification with delineation maps using the CORF push-pull inhibition operator
Fast Hand Detection in Collaborative Learning Environments
Assessing the Role of Boundary-level Objectives in Indoor Semantic Segmentation
Skin lesion classification using convolutional neural networks based on Multi-Features Extraction
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing
Layer-wise Relevance Propagation based Sample Condensation for Kernel Machines.-.
Other Format:
Printed edition:
ISBN:
978-3-030-89128-2
9783030891282
Access Restriction:
Restricted for use by site license.

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