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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems XI"

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Onboard smart surveillance for micro-UAV swarm: an experimental study 8

Onboard smart surveillance for micro-UAV swarm: an experimen...

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8th IEEE Annual International conference on Cyber Technology in Automation, Control, and Intelligent systems (IEEE-CYBER)

作者： Zhao, Kuang Zhou, Yong Zhou, Zhengyuan Tang, Dengqing Chang, Yuan Fang, Qiang Zhou, Han Hu, Tianjiang Natl Univ Def Technol Coll Mechatron & Automat Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9781538670576

In this paper, a smart approach is proposed and developed to enable micro-UAV surveillance with extremely limited onboard computation resources. Recently, a few algorithms have been proposed to detect ground vehicles from UAV aerial vision views. But most of them are processed via air-ground communication and abundant ground computing platforms. However, this study concentrates on the onboard processing scheme of detection and classification on ground moving vehicles by one flying micro UAV. A unified scheme of saliency detection and shallow convolution neural network classification makes a compatible surveillance performance with the only onboard processor. Under such circumstances, an experimental study is conducted on the developed micro-UAV onboard surveillance approach. The experimental results show that the proposed approach can definitely detect and classify at less six kinds of ground moving vehicles up to similar to 14 fps with only limited onboard computation. This work demonstrates practical feasibility for online vision processing of micro-UAV swarm surveillance on ground objects.

关键词： autonomous aerial vehicles convolutional neural nets image classification microrobots neurocontrollers object detection robot vision surveillance Neurocontrollers Microbots robot vision Object detection image classification Ground vehicles dike swarms Slow moving vehicles

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Research on recognition and localization method of Gomoku based on image processing 8

Research on recognition and localization method of Gomoku ba...

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8th International conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2024

作者： Chen, Huanxi Li, Wei Southwest Forestry University School of Machinery and Transportation Kunming China

ISBN: (纸本)9798331506230

a method for recognition and localization of Gomoku based on image processing techniques is proposed in this paper. Firstly, the chessboard is recognized by image preprocessing technology, and the contour of the chessboard is extracted by means of adaptive binarization, convex packet detection and quadrilateral extraction, so as to obtain the vertices of the chessboard, and then the corners of the chessboard are obtained by computation based on the vertices of the chessboard. Subsequently, the types of pieces are identified by means of Hough transform and gray value, and the positioning of chess pieces is accomplished by comparing the positions of chess pieces and corner points. Through experimental testing, the findings demonstrate that the method introduced in this paper can successfully achieve Gomoku recognition and positioning, which serves as a reference for developing the vision systems of intelligent devices, including gaming devices. © 2024 IEEE.

关键词： Hough transforms

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Nonlinear SVD-filtering Of Digital images In Infocommunication systems

Nonlinear SVD-filtering Of Digital Images In Infocommunicati...

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10th IEEE International Scientific and Technical conference on Dynamics of systems, Mechanisms and Machines (Dynamics)

作者： Sazonov, V. V. Shcherbakov, M. A. Vasil'ev, V. A. Penza State Univ Dept Automat & Remote Control Penza Russia

ISBN: (纸本)9781509040490

Feature of modern infocommunication systems is expeditious exchange of information that makes a problem of ensuring quality and reliability of the obtained information actual. For elimination or minimization of the destabilizing impact of noise and hindrances in such systems various methods and algorithms of preliminary information processing are widely used, in particular, procedures of digital filtration of signals and images. Procedure of creation of the nonlinear SVD filter with adaptation to local properties of an observed signal is stated. Comparative examples of filtration of hindrances in a problem of processing of images are given, efficiency of the offered method is shown. The lines of further researches are defined.

关键词： Nonlinear filtering digital image processing Wiener-Kolmogorov filter singular value decomposition of matrices approximation of matrixes

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A DSP-based approach for the implementation of face recognition algorithms

A DSP-based approach for the implementation of face recognit...

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2003 IEEE International conference on Accoustics, Speech, and Signal processing

作者： Batur, A.U. Flinchbaugh, B.E. Hayes III, M.H. Center for Signal and Image Proc. Georgia Inst. of Technology Atlanta GA United States Imaging and Audio Lab. Texas Instruments Dallas TX United States

Face recognition is an important part of today's emerging biometrics and video surveillance markets. Recent years have witnessed an exploding interest in the development of face recognition algorithms and products. Currently, face recognition systems are usually implemented on general purpose processors. As face recognition algorithms move from research labs to the real world, power consumption and cost become critical issues. This motivates searching for implementations using a digital signal processor (DSP). Our goal in this paper is to explore the feasibility of implementing DSP-based face recognition systems. To achieve this goal, we implement a fully automatic face recognition system on Texas Instruments' TMS320C6416 DSP, profile performance, and analyze opportunities for optimization. The results of our experiments demonstrate that a generic C implementation with a modest C level optimization effort results in a face recognition software prototype that has low CPU and memory requirements. Hence, it appears that well-optimized face recognition implementations on DSPs can be an effective choice for embedded face recognition products.

关键词： Digital signal processing

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image processing: algorithms and systems XVIII

Image Processing: Algorithms and Systems XVIII

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18th image processing: algorithms and systems conference, IPAS 2020

The proceedings contain 283 papers. The topics discussed include: a new training model for object detection in aerial images;managing crops across spatial and temporal scales - the roles of UAS and satellite remote sensing;a gaze-contingent system for foveated multiresolution visualization of vector and volumetric data;capturing and 3D rendering of optical behavior: the physical approach to realism;tereoscopic 3D optic flow distortions caused by mismatches between image acquisition and display parameters (JIST-first);active shooter response training environment for a building evacuation in a collaborative virtual environment;learning a CNN on multiple sclerosis lesion segmentation with self-supervision;reducing invertible embedding distortion using graph matching model;creating high-resolution 360-degree single-line 25k video content for modern conference rooms using film compositing techniques;spectral reproduction: drivers, use cases and workflow;SPECTRANET: a deep model for skin oxygenation measurement from multi-spectral data;automotive image quality concepts for the next SAE levels: color separation and contrast detection probability;a 4-tap global shutter pixel with enhanced IR sensitivity for VGA time-of-flight CMOS image sensors;small object bird detection in infrared drone videos using mask R-CNN deep learning;real-world fence removal from a single-image via deep neural network;and perceptual quality assessment of enhanced images using a crowd-sourcing framework.

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3D Face reconstruction from hard blended edges 15

3D Face reconstruction from hard blended edges

引用

International conference on Computer Graphics, Visualization, Computer Vision and image processing 2021, CGVCVIP 2021, Connected Smart Cities 2021, CSC 2021 and Big Data Analytics, Data Mining and Computational Intelligence 2021, BIGDACI 2021 - Held at the 15th Multi-conference on Computer Science and Information systems, MCCSIS 2021

作者： Ding, Yueming Mok, P.Y. The Hong Kong Polytechnic University Inst. Textiles and Clothing Hong Kong Laboratory for Artificial Intelligence in Design Hong Kong

ISBN: (纸本)9789898704320

3D face reconstruction from 2D images is an important research topic because it supports a wide range of applications, such as face recognition, animations, games, and AR/VR systems. 3D face reconstruction from contour features is a challenging task, because traditional edge detection algorithms produce a lot of noises, which are prone to making the reconstruction model trapped in a local optimum or even being degraded. With the development of deep learning, a lot of researcher introduce neural network into contour detection, which can extract relatively clear contours compared with previous methods. In this article, we employ a hard blended face contour feature from neural network and canny edge extractor for face reconstruction. Our method not only improves the 3D face model reconstruction accuracy on synthesis images, but performs more accurately and robustly on in-the-wild images under blurriness, makeup, occlusion and ill-illumination conditions. © 2021 International conference on Computer Graphics, Visualization, Computer Vision and image processing 2021, CGVCVIP 2021, Connected Smart Cities 2021, CSC 2021 and Big Data Analytics, Data Mining and Computational Intelligence 2021, BIGDACI 2021 - Held at the 15th Multi-conference on Computer Science and Information systems, MCCSIS 2021. All rights reserved.

关键词： image enhancement

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Analysis of Ectopic Pregnancy in First Trimester Fetal Ultrasound images using Machine Learning Technique 2

Analysis of Ectopic Pregnancy in First Trimester Fetal Ultra...

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2nd International conference on Automation, Computing and Renewable systems, ICACRS 2023

作者： Maheswari, S. Bhuvaneshwaran, A. Rajalakshmi, J. Nivetha, S.B. Kishore, R. Deepanjali, S. Department of Biomedical Engineering Velalar College of Engineering and Technology Erode India

ISBN: (纸本)9798350340235

This study focuses on using medical imaging and machine learning to address Ectopic pregnancies (EPs) during the first trimester. The variability in ultrasound image quality and the presence of noise can hinder accurate image analysis in case of manual review by physicians, thus, this study aims to develop an automated system for fetal ultrasound image analysis. The research employs advanced image processing methods, including Region of Interest (ROI) selection and image enhancement techniques. Three classification algorithms CNN, SVM, and KNN are compared to select the most suitable one based on performance metrics. This suggests that CNN is a promising tool with 97% accuracy for the early detection of EP. The proposed system has the potential to transform the diagnosis and management of EP, potentially improving maternal outcomes. The goal is to enhance the precision and effectiveness diagnosis, potentially transforming early-stage pregnancy diagnostics. © 2023 IEEE.

关键词： Diagnostic accuracy Early diagnosis Ectopic pregnancy image enhancement image processing Machine learning Maternal-fetal health Medical imaging Ultrasound images

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Extension of the generalized image rectification -: Catching the infinity cases

Extension of the generalized image rectification -: Catching...

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4th International conference on Informatics in Control, Automation and Robotics

作者： Haeming, Klaus Peters, Gabriele Univ Dortmund LSVII D-44227 Dortmund Germany

ISBN: (纸本)9789728865832

This paper addresses the topic of image rectification, a widely used technique in 3D-reconstruction and stereo vision. The most popular algorithm uses a projective transformation to map the epipoles of the images to infinity. This algorithm fails whenever an epipole lies inside an image. To overcome this drawback, a rectification scheme known as polar rectification can be used. This, however, fails whenever an epipole lies at infinity. For autonomous systems exploring their environment, it can happen that successive camera positions constitute cases where we have an image pair with one epipole at infinity and the other inside an image. So neither of the previous algorithms can be applied directly. We present an extension to the polar rectification scheme. This extension allows the rectification of image pairs whose epipoles lie even at such difficult positions. Additionally, we discuss the necessary computation of the orientation of the epipolar geometry in terms of the fundamental matrix directly, avoiding the computation of a line homography as in the original polar rectification process.

关键词： stereo vision epipolar geometry rectification image processing object acquisition

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4th International Workshop on Parallel processing by Cellular Automata and Arrays, Parcella 1988

4th International Workshop on Parallel Processing by Cellula...

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4th International Workshop on Parallel processing by Cellular Automata and Arrays, Parcella 1988

ISBN: (纸本)9783540506478

The proceedings contain 33 papers. The special focus in this conference is on Parallel processing by Cellular Automata and Arrays. The topics include: Parallel microprogramming as a tool for multi-microprocessor systems;a survey of parallel computational geometry algorithms;parallel memories for straight line and rectangle access;progamming with active data;prolog implementations for cellular architectures;modular highly-parallel computation and architectures;parallel computation and supercomputers and applications;fast parallel algorithms and the complexity of parallelism (basic issues and recent advances);process-structured architectures to transform information flowing through;basic research for cellular processing - A short survey of some results on cellular and systolic systems;parallel algorithms in image processing;VLSI arrays implementing parallel line-drawing algorithms;parallel conflict-free optimal access to complete extended Q-ary trees;systolic preconditioning algorithms for the Jacobi iterative solution of sparse linear systems;multiprocessor systems for large numerical applications;systolic array for eigenwalue of jacobi matrix;a transitive closure algorithm for a 16-state cellprocessor;control of sensory processing — A hypothesis on and simulation of the architecture of an elementary cortical processor;bounds for l-selection and related problems on grids of processors;Recursive design of communication schemes for parallel computation with RELACS;solution of dense systems of linear equations using cellular processors;running order statistics on a bit-level systolic array;realization of sets of permutations by permutation networks;simulation of learning networks;given’s rotation on an instruction systolic array;worst case analysis for reducing algorithms on instruction systolic arrays with simple instruction sets;cellular diagnostic in parallel systems.

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image formation in multiscale optical systems

Image formation in multiscale optical systems

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Computational Optical Sensing and Imaging, COSI 2011

作者： Golish, Dathon Vera, Esteban Kelly, K. Gong, Q. Brady, D.J. Gehm, M.E. Department of Electrical and Computer Engineering University of Arizona Tucson AZ United States College of Optical Sciences University of Arizona Tucson AZ United States Department of Electrical and Computer Engineering Duke University Durham NC United States

We present image formation (IF) strategies developed for multiscale imaging systems. In this context, IF takes advantage of significant prior knowledge of array geometry and relies on parallelizable algorithms to hand... 详细信息

ISBN: (纸本)9781557529145

关键词： image processing Imaging systems Optical design Optical sensing Optical systems Spherical lenses image reconstruction techniques (100.3010) Computational imaging (110.1758)

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