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检索条件"任意字段=2024 International Conference on Computer Vision and Image Processing, CVIP 2024"

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4th international conference on computer vision and image processing, cvip 2019

4th International Conference on Computer Vision and Image Pr...

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4th international conference on computer vision and image processing, cvip 2019

ISBN: (纸本)9789811540141

The proceedings contain 82 papers. The special focus in this conference is on computer vision and image processing. The topics include: A method to generate synthetically warped document image;delaunay triangulation based thinning algorithm for alphabet images;a reduced graph cut approach to interactive object segmentation with flexible user input;A new fuzzy clustering algorithm by incorporating constrained class uncertainty-based entropy for brain MR image segmentation;a novel saliency-based cascaded approach for moving object segmentation;a novel graph theoretic image segmentation technique;automated industrial quality control of pipe stacks using computer vision;extraction and recognition of numerals from machine-printed urdu documents;colour sensitive image segmentation using quaternion Algebra;multimodal query based approach for document image retrieval;transformed directional tri concomitant triplet patterns for image retrieval;encoder decoder based image semantic space creation for clothing items retrieval;feature learning for effective content-based image retrieval;two efficient image bag generators for multi-instance multi-label learning;a comparative study of big mart sales prediction;asymmetric wide tele camera fusion for high fidelity digital zoom;energy based convex set hyperspectral endmember extraction algorithm;fast semantic feature extraction using superpixels for soft segmentation;spatially variant laplacian pyramids for multi-frame exposure fusion;Traffic sign recognition using color and spatial transformer network on GPU embedded development board;unsupervised single-view depth estimation for real time inference;preface;towards ocular recognition through local image descriptors;a novel information theoretic cost measure for filtering based feature selection from hyperspectral images;CNN and RF based classification of brain tumors in MR neurological images.

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Application research on construction safety management of building engineering based on computer vision technology 24

Application research on construction safety management of bu...

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5th international conference on computer Science and Management Technology, ICCSMT 2024

作者： Han, Yuanyuan School of Humanities Shanghai Institute of Technology Shanghai China

ISBN: (纸本)9798400709999

With the rise of artificial intelligence, the application of computer vision technology in the construction safety management of construction engineering is increasingly *** the application of computer vision technology in the construction safety management is not only an upgrade of the existing safety management mode, but also provides theoretical contributions and technical support for the realization of future intelligent ***, this study discusses the application of computer vision technology in the construction safety management of construction projects by constructing a construction engineering safety control *** framework evaluates the construction safety situation reasonably and quantitatively through the processing process of image acquisition and preprocessing, image recognition, data analysis and control system on the construction *** the visual management of construction site personnel, construction equipment, construction materials, construction standards and construction environment, and improve the safety management effect of construction site. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Project management

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international conference on computer vision and image processing, cvip 2016

International Conference on Computer Vision and Image Proces...

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international conference on computer vision and image processing, cvip 2016

ISBN: (纸本)9789811021060

The proceedings contain 50 papers. The special focus in this conference is on computer vision and image processing. The topics include: Fingerprint image segmentation using textural features;improved feature selection for neighbor embedding super-resolution using zernike moments;target recognition in infrared imagery using convolutional neural network;selected context dependent prediction for reversible watermarking with optimal embedding;cancelable biometrics using hadamard transform and friendly random projections;a semi-automated method for object segmentation in infant's egocentric videos to study object perception;a novel visual secret sharing scheme using affine cipher and image interleaving;comprehensive representation and efficient extraction of spatial information for human activity recognition from video data;robust pose recognition using deep learning;a robust scheme for extraction of text lines from handwritten documents;palmprint recognition based on minutiae quadruplets;human action recognition for depth cameras via dynamic frame warping.;reference based image encoding;improving face detection in blurred videos for surveillance applications;support vector machine based extraction of crime information in human brain using ERP image;view invariant motorcycle detection for helmet wear analysis in intelligent traffic surveillance;morphological geodesic active contour based automatic aorta segmentation in thoracic ct images;surveillance video synopsis while preserving object motion structure and interaction;face expression recognition using histograms of oriented gradients with reduced features;dicentric chromosome image classification using fourier domain based shape descriptors and support vector machine and an automated ear localization technique based on modified hausdorff distance.

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3rd international conference on computer vision and image processing, cvip 2018

3rd International Conference on Computer Vision and Image Pr...

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3rd international conference on computer vision and image processing, cvip 2018

ISBN: (纸本)9789813290877

The proceedings contain 38 papers. The special focus in this conference is on computer vision and image processing. The topics include: Mushroom Classification Using Feature-Based Machine Learning Approach;deep Learning Framework for Detection of an Illicit Drug Abuser Using Facial image;diagnosis of Prostate Cancer with Support Vector Machine Using Multiwavelength Photoacoustic images;a Deep Learning Framework Approach for Urban Area Classification Using Remote Sensing Data;things at Your Desk: A Portable Object Dataset;storm Tracking Using Geostationary Lightning Observation Videos;pneumonia Detection on Chest X-Ray Using Machine Learning Paradigm;eigenvector Orientation Corrected LeNet for Digit Recognition;retinal-Layer Segmentation Using Dilated Convolutions;vehicle Speed Determination and License Plate Localization from Monocular Video Streams;detecting Face Morphing Attacks with Collaborative Representation of Steerable Features;enabling Text-Line Segmentation in Run-Length Encoded Handwritten Document image Using Entropy-Driven Incremental Learning;fused Spectral Features in Kernel Weighted Collaborative Representation for Gender Classification Using Ocular images;investigation on the Muzzle of a Pig as a Biometric for Breed Identification;integrated Semi-Supervised Model for Learning and Classification;robust Detection of Defective Parts Using Pattern Matching for Online Machine vision System;detection of Down Syndrome Using Deep Facial Recognition;cosaliency Detection in images Using Structured Matrix Decomposition and Objectness Prior;agriculture Parcel Boundary Detection from Remotely Sensed images;a Reference Based Secure and Robust Zero Watermarking System;two-View Triangulation: A Novel Approach Using Sampson’s Distance;linear Regression Correlation Filter: An Application to Face Recognition;human Head Pose and Eye State Based Driver Distraction Monitoring System;preface.

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Texture image classification based on persistent homology 4

Texture image classification based on persistent homology

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4th international conference on computer vision, Application, and Algorithm, CVAA 2024

作者： Zhou, Haoming Hainan University Hainan Haikou570000 China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

In the field of computer vision and image processing, texture provides critical visual clues about the composition of internal regions of an image. This paper proposes a novel texture image classification method using persistent homology (PH) theory from topological data analysis (TDA) to extract topological information of texture images at different scales and dimensions. We convert texture images into grayscale images and use their pixel intensity values as filtration thresholds, tracking changes in 0-dimensional and 1-dimensional persistent homology classes under different thresholds to generate persistence diagrams of the texture images. The persistence images are then converted into feature vectors. Our method is validated with 10-fold cross-validation using a random forest model on the Kylberg dataset and KTH-TIPS dataset, achieving accuracies of 99.84% and 87.90%, respectively. © 2025 SPIE.

关键词： image texture

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computer graphics and image processing techniques based on visual communication design 4

Computer graphics and image processing techniques based on v...

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4th international conference on computer vision, Application, and Algorithm, CVAA 2024

作者： Chen, Zhaoguo College of Arts Shandong Agricultural Engineering University Shandong Province Jinan250103 China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

To fully harness the capabilities of computer graphics and image processing technologies and elevate the quality of visual communication design, this paper presents a comprehensive suite of innovative methodologies. Firstly, the fundamental principles of primary colors are utilized to formulate a series of vector functions, facilitating the precise calculation of error distances and the establishment of an intricate visual communication zoning model. Subsequently, through the exhaustive extraction of pertinent feature information from graphics and images, we achieve the scientific encoding of coefficient-constrained features and determine the corresponding hyperplanes to acquire the relevant parameters for visual communication. Eventually, the implementation of advanced design image expression algorithms markedly enhances the effectiveness of visual communication image representation. The empirical findings reveal that these visual communication design methods exhibit remarkable reliability and feasibility, effectively boosting image recognition accuracy across four distinct image categories with varying levels of complexity, thereby yielding exceptional visual communication outcomes. © 2025 SPIE.

关键词： Design Visual communications Visualization computer graphics image processing image storage Color image segmentation image enhancement

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7th international conference on computer vision and image processing, cvip 2022

7th International Conference on Computer Vision and Image Pr...

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7th international conference on computer vision and image processing, cvip 2022

ISBN: (纸本)9783031314162

The proceedings contain 54 papers. The special focus in this conference is on computer vision and image processing. The topics include: CT image Synthesis from MR image Using Edge-Aware Generative Adversarial Network;Modified Scaled-YOLOv4: Soccer Player and Ball Detection for Real Time Implementation;candidNet: A Novel Framework for Candid Moments Detection;cost Efficient Defect Detection in Bangle Industry Using Transfer Learning;single image Dehazing Using Multipath Networks Based on Chain of U-Nets;leveraging Tri-Planar Views and Weighted Average Fusion Technique to Classify Lung Nodule Malignancy;a Bayesian Approach to Gaussian-Impulse Noise Removal Using Hessian Norm Regularization;deepTemplates: Object Segmentation Using Shape Templates;Data-Centric Approach to SAR-Optical image Translation;MIS-Net: A Deep Residual Network Based on Memorised Pooling Indices for Medical image Segmentation;linear and Non-Linear Filter-based Counter-Forensics Against image Splicing Detection;Ischemic Stroke Lesion Segmentation in CT Perfusion images Using U-Net with Group Convolutions;Multi-generator MD-GAN with Reset Discriminator: A Framework to Handle Non-IID Data;video Colorization Using Modified Autoencoder Generative Adversarial Networks;Real-Time Violence Detection Using Deep Neural Networks and DTW;skin Disease Detection Using Saliency Maps and Segmentation Techniques;an Alternate Approach for Single image Haze Removal Using Path Prediction;Detecting Tropical Cyclones in INSAT-3D Satellite images Using CNN-Based Model;Two Stream RGB-LBP Based Transfer Learning Model for Face Anti-spoofing;Logarithmic Progressive-SMOTE: Oversampling Minorities in Retinal Fundus Multi-disease image Dataset;HD-VAE-GAN: Hiding Data with Variational Autoencoder Generative Adversarial Networks;sequence Recognition in Bharatnatyam Dance;Multi-modality Fusion for Siamese Network Based RGB-T Tracking (mfSiamTrack).

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4th international conference on computer vision and image processing, cvip 2019

4th International Conference on Computer Vision and Image Pr...

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4th international conference on computer vision and image processing, cvip 2019

ISBN: (纸本)9789811540172

The proceedings contain 82 papers. The special focus in this conference is on computer vision and image processing. The topics include: Anomalous event detection and localization using stacked autoencoder;kernel variants of extended locality preserving projection;DNN based adaptive video streaming using combination of supervised learning and reinforcement learning;a deep convolutional neural network based approach to extract and apply photographic transformations;video based deception detection using deep recurrent convolutional neural network;deep demosaicing using ResNet-bottleneck architecture;psychological stress detection using deep convolutional neural networks;Video colorization using CNNs and keyframes extraction: An application in saving bandwidth;image compression for constrained aerial platforms: A unified framework of laplacian and cGAN;image aesthetics assessment using multi channel convolutional neural networks;multi-frame and multi-scale conditional generative adversarial networks for efficient foreground extraction;Ink analysis using CNN-Based transfer learning to detect alteration in handwritten words;ensemble methods on weak classifiers for improved driver distraction detection;DeepRNNetSeg: Deep residual neural network for nuclei segmentation on breast cancer histopathological images;classification of breast tissue density;extreme weather prediction using 2-phase deep learning pipeline;deep hybrid neural networks for facial expression classification;SCDAE: Ethnicity and gender alteration on CLF and UTKFace dataset;manipuri handwritten character recognition by convolutional neural network;design and implementation of human safeguard measure using separable convolutional neural network approach;profession identification using handwritten text images;tackling multiple visual artifacts: Blind image restoration using conditional adversarial networks;Two-Stream CNN architecture for anomalous event detection in real world scenarios;multi-level threat ana

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7th international conference on computer vision and image processing, cvip 2022

7th International Conference on Computer Vision and Image Pr...

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7th international conference on computer vision and image processing, cvip 2022

ISBN: (纸本)9783031314063

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6th international conference on computer vision and image processing, cvip 2021

6th International Conference on Computer Vision and Image Pr...

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6th international conference on computer vision and image processing, cvip 2021

ISBN: (纸本)9783031113451

The proceedings contain 97 papers. The special focus in this conference is on computer vision and image processing. The topics include: Automatic Classification of Sedimentary Rocks Towards Oil Reservoirs Detection;signature2Vec - An Algorithm for Reference Frame Agnostic Vectorization of Handwritten Signatures;leaf Segmentation and Counting for Phenotyping of Rosette Plants Using Xception-style U-Net and Watershed Algorithm;fast and Secure Video Encryption Using Divide-and-Conquer and Logistic Tent Infinite Collapse Chaotic Map;visual Localization Using Capsule Networks;detection of Cataract from Fundus images Using Deep Transfer Learning;brain Tumour Segmentation Using Convolution Neural Network;signature Based Authentication: A Multi-label Classification Approach to Detect the Language and Forged Sample in Signature;a Data-Set and a Real-Time Method for Detection of Pointing Gesture from Depth images;Deep-TDRS: An Integrated System for Handwritten Text Detection-Recognition and Conversion to Speech Using Deep Learning;vision HELPER: CNN Based Real Time Navigator for the Visually Impaired;structure-Texture Decomposition-Based Enhancement Framework for Weakly Illuminated images;low Cost Embedded vision System for Location and Tracking of a Color Object;towards Label-Free Few-Shot Learning: How Far Can We Go?;AB-net: Adult- Baby Net;Polarimetric SAR Classification: Fast Learning with k-Maximum Likelihood Estimator;Leveraging Discriminative Cues for Masked Face Recognition in Post COVID World;pretreatment Identification of Oral Leukoplakia and Oral Erythroplakia Metastasis Using Deep Learning Neural Networks;soft Biometric Based Person Retrieval for Burglary Investigation;a Deep Learning Framework for the Classification of Lung Diseases Using Chest X-Ray images;computer Aided Diagnosis of Autism Spectrum Disorder Based on Thermal Imaging;scene Graph Generation with Geometric Context;deep Color Spaces for Fingerphoto Presentation Attack Detection in Mobile Devices;can

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