Computer Analysis of Images and Patterns

19th International Conference, CAIP 2021, Virtual Event, September 28–30, 2021, Proceedings, Part II

Häftad, Engelska, 2021

Av Nicolas Tsapatsoulis, Andreas Panayides, Theo Theocharides, Andreas Lanitis, Constantinos Pattichis, Mario Vento

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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.

Produktinformation

Utgivningsdatum2021-10-31
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieImage Processing, Computer Vision, Pattern Recognition, and Graphics
Antal sidor446
FörlagSpringer Nature Switzerland AG
ISBN9783030891305

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Systemvetenskap och AI inom Data och it

Machine Learning.- Deep Learning Based Automated Vickers Hardness Measurement.- ElasticHash: Semantic Image Similarity Search by Deep Hashing with Elasticsearch.- Land Use Change Detection Using Deep Siamese Neural Networks and Weakly Supervised Learning.- AMI-Class: Towards a Fully Automated Multi-view Image Classifier.- How realistic should synthetic images be for training crowd counting models?.- Unsupervised Recognition of the logical structure of Business Documents based on Spatial Relationships.- Feature Extraction.- The method for adaptive material classification and pseudo-coloring of the baggage X-ray images.- Sampling of Non-flat Morphology for Grey Value Images.- A Multi-Scale Line Feature Detection Using Second Order Semi-Gaussian Filters.- Experimental analysis of Appearance Maps as Descriptor Manifolds approximations.- Building Hierarchical Tree Representations Using Homological-Based Tools.- Face verification in practice: The case of Greek artist Leonidas Arniotis.- Object Recognition.- Spatio-temporal object detection from UAV on board cameras.- Automatic Watermeter Reading in Presence of Highly Deformed Digits.- HR-Crime: Human-Related Anomaly Detection in Surveillance Videos.- Sequence-based Recognition of License Plates with Severe Out-of-Distribution Degradations.- Exploiting Spatio-Temporal Coherence for Video Object Detection in Robotics.- Face and Gesture.- A Study of General Data Improvement for Large-Angle Head Pose Estimation.- Knight Tour Patterns: Novel Handcrafted Feature Descriptors for Facial Expression Recognition.- Exploiting visual context to identify people in TV programs.- Foreground-guided Facial Inpainting with Fidelity Preservation.- Talking Detection In Collaborative Learning Environments.- Facial Recognition in Collaborative Learning Videos.- Guess the Age Contest.- Guess The Age Contest: Age Estimation From Facial Images with Deep Convolutional Neural Networks.- Real-Time Age Estimation From Facial Images Using YOLO and EfficientNet.- Single View Facial Age Estimation Using Deep Learning with Cascading Random Forests.- Age-Style Augmentation for Facial Age Estimation.- LAE : Long-tailed Age Estimation.- Biometrics, Cryptography and Security.- Toward a robust shape and texture face descriptor for efficient face recognition in the wild.- Automatic Gender Classification from Handwritten Images: a Case Study.- Learning to Read L’Infinito: Handwritten Text Recognition with Synthetic Training Data.- Robust watermarking approach for 3D multirsolution meshes based on multi-wavelet transform, SHA512 and turbocodes.- A spherical harmonics-LSB-quantification adaptive watermarking approach for 3D multiresolution meshes security.- Authentication of Vincent van Gogh’s Work.- Segmentation and Image Restoration.- Anisotropic Diffusion-Based Enhancement of Scene Segmentation with InstanceLabels.- Jigsaw Puzzle Solving as a Consistent Labeling Problem.- Single-Loss Multi-Task Learning For Improving Semantic Segmentation Using Super-Resolution.- Deep Fisher Score Representation via Sparse Coding.- D-LSD: a Distorted Line Segment Detector for Calibrated Images.- Efficient Data Optimisation for Harmonic Inpainting with Finite Elements.-