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E-grāmata: Computer Analysis of Images and Patterns: 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part II

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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 13053
  • Izdošanas datums: 30-Oct-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • Valoda: eng
  • ISBN-13: 9783030891312
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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 13053
  • Izdošanas datums: 30-Oct-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • Valoda: eng
  • ISBN-13: 9783030891312
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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.
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 LInfinito: 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 Goghs 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.-