Título :	19th International Conference, CAIP 2021, Virtual Event, September 28–30, 2021, Proceedings, Part I
Tipo de documento:	documento electrónico
Autores:	Tsapatsoulis, Nicolas, ; Panayides, Andreas, ; Theocharides, Theo, ; Lanitis, Andreas, ; Pattichis, Constantinos, ; Vento, Mario,
Mención de edición:	1 ed.
Editorial:	[s.l.] : Springer
Fecha de publicación:	2021
Número de páginas:	XXII, 500 p. 194 ilustraciones, 162 ilustraciones en color.
ISBN/ISSN/DL:	978-3-030-89128-2
Nota general:	Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave:	Visión por computador  Aprendizaje automático  Ingeniería Informática  Red de computadoras  Ingeniería Informática y Redes
Índice Dewey:	006.37 Visión artificial
Resumen:	El conjunto de dos volúmenes LNCS 13052 y 13053 constituye las actas arbitradas de la 19.ª Conferencia Internacional sobre Análisis Informático de Imágenes y Patrones, CAIP 2021, celebrada virtualmente en septiembre de 2021. Los 87 artículos presentados fueron cuidadosamente revisados ​​y seleccionados entre 129 presentaciones. Los artículos están organizados en las siguientes secciones temáticas en los 2 volúmenes: visión 3D, imágenes biomédicas y análisis de patrones; aprendizaje automático; extracciones de características; reconocimiento de objetos; rostro y gesto, concurso de adivinar la edad, biometría, criptografía y seguridad; y segmentación y restauración de imágenes.
Nota de contenido:	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 -- ADeep 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.-.
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

19th International Conference, CAIP 2021, Virtual Event, September 28–30, 2021, Proceedings, Part I [documento electrónico] / Tsapatsoulis, Nicolas, ; Panayides, Andreas, ; Theocharides, Theo, ; Lanitis, Andreas, ; Pattichis, Constantinos, ; Vento, Mario,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XXII, 500 p. 194 ilustraciones, 162 ilustraciones en color.
ISBN : 978-3-030-89128-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.

Palabras clave:	Visión por computador  Aprendizaje automático  Ingeniería Informática  Red de computadoras  Ingeniería Informática y Redes
Índice Dewey:	006.37 Visión artificial
Resumen:	El conjunto de dos volúmenes LNCS 13052 y 13053 constituye las actas arbitradas de la 19.ª Conferencia Internacional sobre Análisis Informático de Imágenes y Patrones, CAIP 2021, celebrada virtualmente en septiembre de 2021. Los 87 artículos presentados fueron cuidadosamente revisados ​​y seleccionados entre 129 presentaciones. Los artículos están organizados en las siguientes secciones temáticas en los 2 volúmenes: visión 3D, imágenes biomédicas y análisis de patrones; aprendizaje automático; extracciones de características; reconocimiento de objetos; rostro y gesto, concurso de adivinar la edad, biometría, criptografía y seguridad; y segmentación y restauración de imágenes.
Nota de contenido:	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 -- ADeep 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.-.
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i