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检索条件"任意字段=18th Image Processing: Algorithms and Systems Conference, IPAS 2020"

共 258 条记录，以下是111-120 订阅

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Automatic Recognition of Non-standard Number Plates using YOLOv8 18

Automatic Recognition of Non-standard Number Plates using YO...

引用

18th INDIAcom;11th International conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Tupsounder, Asaavi Patwari, Renuka Ambati, Roja Chavarkar, Arya Shirsat, Kavita Vidyalankar Institute of Technology Dept. of Computer Engineering Mumbai India

ISBN: (纸本)9789380544519

A critical feature of vehicle movement applications is the detection and identification of a vehicle's License Plate (LP). Despite technological and algorithm developments, differences in LP properties by nation, such as number system, colors, character language, fonts, and size, necessitate more study to enhance detection and recognition. Despite substantial study, many systems function in well-defined contexts, necessitating the use of expensive equipment to capture photos from slow-moving vehicles or generate high-quality shots. this study describes a deep learning-based automated approach for LP detection and recognition, which is further separated into detection and character recognition. Yolov8 (You Only Look Once Version-8) was utilized for automatic pixel separation and gradient computation, making complicated model training easier. Using deep learning, Easy OCR (Optical Character Recognition) was utilized to retrieve text from number plates. Easy OCR (Optical Character Recognition) was utilized to extract text from license plates, with deep learning algorithms employed to effectively read text in difficult settings. For image and video processing, OpenCV (Open-Source Computer Vision Library) was employed. the project titled 'Automatic Number Plate Using YOLOv8 Model' leverages the advanced capabilities of the YOLOv8 model to develop a robust system for automated number plate recognition, serving as the core component for real-time object detection and number plate localization within images and video streams. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： ANPR (Automatic Number Plate Recognition) Deep learning image Recognition Non-Standard OpenCV YOLOv8

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Distributed Parameter Estimation With Random Observation Matrices and Communication Graphs 18

Distributed Parameter Estimation With Random Observation Mat...

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18th European Control conference (ECC)

作者： Wang, Jiexiang Li, Tao Zhang, Xiwei Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200072 Peoples R China East China Normal Univ Sch Math Sci Shanghai Key Lab Pure Math & Math Practice Shanghai 200241 Peoples R China

ISBN: (纸本)9783907144022

the convergence of distributed parameter estimation algorithms is analyzed for a network of multiple nodes via information exchange with random observation matrices and communication graphs. Each node runs an online estimation algorithm consisting of a consensus term taking a weighted sum of its own estimate and the estimates of its neighbors, and an innovation term processing its own new measurement at each time step. By stochastic time-varying system, martingale convergence theories and the binomial expansion of random matrix products, the stochastic spatial-temporal persistence of excitation condition is established for mean square and almost sure convergence. Especially, it is shown that this condition holds for Markovian switching communication graphs and observation matrices, if the stationary graph is balanced with a spanning tree and the measurement model is spatially-temporally jointly observable. Furthermore, the quantitative bounds of mean square and almost sure convergence rates are both provided.

关键词： Stochastic systems

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Handwritten Recognition: A survey

Handwritten Recognition: A survey

引用

International image processing, Applications and systems conference (ipas)

作者： May Mowaffaq Al-Taee Sonia Ben Hassen Neji Mondher Frikha Ecole Nationale d 'Electronique et de Telecommunications de Sfax University of Sfax Tunisia

ISBN: (数字)9781728175744

ISBN: (纸本)9781728175751

Handwritten recognition has received considerable attention in the domain of pattern recognition, image processing, over the last few decades. As a consequence of this research effort, several algorithms were developed using different techniques. Particularly, Deep Learning has shown a remarkable capability to handle handwritten recognition in very recent years. the well-known Deep learning techniques are the Convolutional Neuronal Networks (CNNs) and Recurrent Neuronal Networks (RNNs). this paper provides a survey of the most recent handwritten recognition systems. thus, we present the most significant algorithms for handwritten character/word/text recognition by explaining the different approaches used in the recognition process and we compare them in terms of accuracy.

关键词： Deep learning Training Handwriting recognition image recognition Feature extraction Character recognition Biological neural networks

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Fast Detection of Multi-Direction Remote Sensing Ship Object Based on Scale Space Pyramid 18

Fast Detection of Multi-Direction Remote Sensing Ship Object...

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18th IEEE International conference on Mobility, Sensing and Networking (MSN)

作者： Song, Ziying Wang, Li Zhang, Guoxin Jia, Caiyan Bi, Jiangfeng Wei, Haiyue Xia, Yongchao Zhang, Chao Zhao, Lijun Beijing Jiaotong Univ Sch Comp & Informat Technol Beijing 100044 Peoples R China Tsinghua Univ Sch Vehicle & Mobil Beijing 100084 Peoples R China Harbin Inst Technol State Key Lab Robot & Syst Harbin 150001 Peoples R China Hebei Univ Sci & Technol Sch Informat Sci & Engn Shijiazhuang 050018 Hebei Peoples R China

ISBN: (纸本)9781665464574

Ships in remote sensing images are usually arranged in arbitrary direction, small in size, and densely arranged. As a result, existing object detection algorithms cannot detect ships quickly and accurately. In order to solve the above problems, a lightweight object detection network for fast detection of ships is proposed. the network is composed of backbone network, four-scale fusion network and rotation branch. First, a lightweight network unit S-LeanNet is designed and used to build a low-computing and accurate backbone network. then, a four-scale feature fusion module is designed to generate a four-scale feature pyramid, which contains more features such as ship shape and texture, and at the same time is conducive to the detection of small ships. Finally, a novel rotation branch module is designed, using balance L1 loss function and R-NMS for post-processing, to realize the precise positioning and regression of the rotating bounding box in one step. Experimental results show that the detection precision of our method in the DOTA remote sensing data set is compared with the latest SCRDet detection method, the precision is increased by 1.1%, and the operating speed is increased by 8 times, which can meet the fast detection requirements of ships.

关键词： image processing rotating object detection multiscale fusion embedded device

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On the Impact of Face image Quality on Morphing Attack Detection 18

On the Impact of Face Image Quality on Morphing Attack Detec...

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18th IEEE International Joint conference on Biometrics, IJCB 2024

作者： Franco, Annalisa Ferrara, Matteo Liu, Chengcheng Busch, Christoph Maltoni, Davide University of Bologna Dipartimento di Informatica - Scienza e Ingegneria Italy Xi'an Jiaotong University China Norwegian University of Science and Technology Norway Hochschule Darmstadt Germany

ISBN: (纸本)9798350364132

the morphing attack is widely acknowledged as an important security threat to face recognition systems in the context of electronic machine readable travel documents and several possible countermeasures have been recently proposed. Among the existing solutions, differential Morphing Attack Detection (MAD) algorithms, based on the comparison of the document image (possibly morphed) and a trusted live capture, proved to be quite effective and robust in detecting this kind of attack. However, deploying such solutions in a real-world operational scenario requires the capability of dealing with images of variable quality in terms of illumination, pose, focus, etc. this paper analyzes the impact of face image quality on MAD performance through an extensive image quality assessment, carried out on a large and realistic operational dataset using different state-of-the-art algorithms, thus providing useful insights for the development of more robust MAD systems. © 2024 IEEE.

关键词： Face recognition

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A Prosthesis Design Based on Genetic algorithms inthe Concurrent Engineering Context

A Prosthesis Design Based on Genetic Algorithms inthe Concur...

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18th ISPE International conference on Concurrent Engineering - Improving Complex systems Today

作者： Canciglieri Junior, Osiris Rudek, Marcelo Greboge, thiago Pontifical Catholic Univ Parana PUCPR PPGEPS Curitiba Parana Brazil

ISBN: (纸本)9780857297983

Concurrent engineering is an important philosophy in achieving better time to market in new product development. While the use of design teams is achieving some success there is a need for modern software tools which support the design process to be radically improved. In this context, the research explores the use of three-dimensional images reconstructed from computed tomography that provides support for prosthesis modeling in CAD (Computer-Aided Design) system. this article presents a method for using a genetic algorithm (GA) that improves the virtual modeling applied to prosthesis conception. In the context, the GA was used to fit an ellipse in order to fill completely a defect in a skull. the bone piece that was missed in skull could be virtually created using the arcs extracted from the adjusted ellipses for each tomographic slice and it can generates profiles from the cloud of points in order to build a 3D geometric model using a CAD system. A synthetic image of the missing bone piece was built using the GA to fill its defect in the skull.

关键词： Prosthesis Modeling Imaging processing 3D Reconstruction Product Development CAD/CAM

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image Super-Resolution Reconstruction Based on MCA and ICA Denoising 18th

Image Super-Resolution Reconstruction Based on MCA and ICA D...

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18th International conference on Intelligent Computing (ICIC)

作者： Yang, Weiguo Yang, Bin Li, Jing Sun, Zhongyu Zaozhuang Univ Coll Informat Sci & Technol Zaozhuang 277160 Peoples R China Qin Wei Middle Sch Zaozhuang 277160 Peoples R China

ISBN: (纸本)9783031138706;9783031138690

image super-resolution reconstruction is a high-resolution image that is reconstructed from a low-resolution image. the learning-based algorithm is one of the more effective algorithms for image super-resolution reconstruction, and the core idea of the algorithm is to use the sample library to train the information of the image in order to increase the high-frequency information of the test image and achieve the purpose of image super-resolution reconstruction. In this paper, we propose a new image super-resolution algorithm based on morphological component analysis and dictionary learning. Firstly we make independent component analysis for image denoising processing by the K-SVD method. And then, MCA algorithm is utilized to efficiently decompose low-resolution images into texture part and structure part. And the K-SVD method is used to make dictionary training of low-resolution images. the method not only improves the robustness of the images, but also adopts different reconstruction algorithms for the different characteristics of the texture and structure parts, which better retains the details of the images and improves the quality of the reconstructed images.

关键词： Super resolution Sparse representation Dictionary training Morphological layer segmentation analysis Independent component analysis

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Survey of image compression algorithms for ESMO mission

Survey of image compression algorithms for ESMO mission

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International conference on systems, Signals and image processing, IWSSIP

作者： Miha Gostenčnik Dejan Gačnik Iztok Kramberger Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia

In this paper we present a general evaluation of image compression algorithms for European Student Moon Orbiter mission for acquiring lunar surface imagery. Evaluations were made on ten different images, processed into various image formats and later reviewed with several objective measurements. As a comparison Set-Partitioning in Hierarchical Trees (SPIHT) algorithm and Discrete Cosine Transform (DCT) algorithm were also evaluated.

关键词： image coding Transform coding Discrete cosine transforms Moon image quality PSNR Distortion measurement

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Performance Analysis of a 3D Elliptic Solver on Intel Xeon Computer System 18

Performance Analysis of a 3D Elliptic Solver on Intel Xeon C...

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18th conference on Computer Science and Intelligence systems, FedCSIS 2023

作者： Lirkov, Ivan Paprzycki, Marcin Ganzha, Maria Institute of Information and Communication Technologies Bulgarian Academy of Sciences Acad. G. Bonchev bl. 25A Sofia1113 Bulgaria Systems Research Institute Polish Academy of Sciences Ul. Newelska 6 Warsaw01-447 Poland

ISBN: (纸本)9788396744784

It was shown that block-circulant preconditioners, applied to a conjugate gradient method, used to solve structured sparse linear systems, arising from 2D or 3D elliptic problems, have very good numerical properties and a potential for good parallel efficiency. In this contribution, hybrid parallelization based on MPI and OpenMP standards is experimentally investigated. Specifically, the aim of this work is to analyze parallel performance of the implemented algorithms on a supercomputer consisting of Intel Xeon processors and Intel Xeon Phi coprocessors. While obtained results confirm the positive outlook of the proposed approach, important open issues are also identified. © 2023 Polish Information processing Society.

关键词： Conjugate gradient method

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the Automated Technology for Converting Drawing and Design Paper-Based Documentation into Electronic 3D Model of an Object 6

The Automated Technology for Converting Drawing and Design P...

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6th International conference on Information Technology and Nanotechnology (IEEE ITNT)

作者： Vasin, Dmitry Gromov, Vladimir Romensky, Sergey Rotkov, Sergey Lobachevsky State Univ Nizhny Novgorod Ctr Informat & Intelligent Informat Technol Nizhnii Novgorod Russia Nizhny Novgorod State Univ Architecture & Civil E Dept Engn Geometry Comp Graph & Comp Aided Design Nizhnii Novgorod Russia

ISBN: (纸本)9781728170411

We propose the original automated information technology for transformation of paper archives of drawing and design documentation into electronic 3D model of an object for CALS and BIM ideologies of designing and manufacturing of an object. the technology assumes the full automated cycle of processing of projective kinds from initial paper drawings to electronic frame 3D model of an object. Original models of representation and algorithms of solving the given problem are proposed.

关键词： CALS BIM 3D model CAD systems

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