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检索条件"任意字段=3rd International Conference on Computer Vision and Image Processing, CVIP 2018"

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Usability assessment of facial tracking for use in clinical outcomes and applications 12

Usability assessment of facial tracking for use in clinical ...

引用

12th international conference on Interfaces and Human computer Interaction 2018, 11th international conference on Game and Entertainment Technologies 2018 and 12th international conference on computer Graphics, Visualization, computer vision and image processing 2018, part of the Multi conference on computer Science and Information Systems 2018, MCCSIS 2018

作者： Siena, Francesco Luke Byrom, Bill Watts, Paul Breedon, Philip Nottingham Trent University 50 Shakespeare Street NottinghamNG1 4FQ United Kingdom CRF Health Brook House - 3rd Floor 229-243 Shepherds Bush Road Hammersmith LondonW6 7AN United Kingdom

ISBN: (纸本)9789898533791

There is an ever-growing body of facial tracking assessment applications available within the health and wellness sector. One of the most prominent areas is the use of 3D cameras and processing technologies in the development of rehabilitation interventions and in the measurement of health outcomes. Recent advancements in facial tracking applications within mobile platforms and cloud computing analytics suggests that new clinical assessment and human computer assessment technologies have significant future potential for pervasive in-clinic and field-based health assessment solutions. This paper reviews the technical capabilities of three facial tracking platforms with a focus on the common issues relating to clinical measurement considerations required for patient-facing systems. Key factors are assessed in relation to 3D camera platforms, mobile applications and cloud computing applications including camera position, lighting and shadows, eye detection and common obstructions or features that affect tracking. Published examples of facial tracking clinical and health wellness applications are presented in relation to human computer interaction interfaces. This paper aims to demonstrate the potential for future applications being developed relating to each of these technologies for clinic-based applications. © 2018.

关键词： Mobile computing

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Single-Photon Cameras image Reconstruction Using vision Transformer 3

Single-Photon Cameras Image Reconstruction Using Vision Tran...

引用

3rd IEEE international conference on computer Communication and Artificial Intelligence, CCAI 2023

作者： Wang, Xingzheng Beijing Institute of Technology Beijing China

ISBN: (纸本)9798350335262

Single-photon camera is a novel camera type that utilizes image sensor with photon-counting capability. Recently, the potential of such sensors to achieve high spatial resolutions (e.g., 10/chip) and frame rates (e.g., 10/sec) is well-established. However, there is a significant difference in the output data between single-photon cameras and traditional CMOS sensor cameras. Therefore, conventional image reconstruction algorithms cannot be utilized. Vison Transformer has impressive performance on image processing tasks, and this paper will design a plug-and-play algorithm for reconstructing images from single-photon cameras and integrate image processing algorithms based on deep neural networks like ViT. The results demonstrate our methods can achieve improvement both in PSNR and SSIM. © 2023 IEEE.

关键词： Cameras

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A Mobile Application for Early Detection of Melanoma by image processing Algorithms 25

A Mobile Application for Early Detection of Melanoma by Imag...

引用

25th Iranian conference on Biomedical Engineering / 3rd international Iranian conference on Biomedical Engineering (ICBME)

作者： Alizadeh, Seyed Mohammad Mahloojifar, Ali Tarbiat Modares Univ Dept Biomed Engn Tehran Iran

ISBN: (纸本)9781538679524

Melanoma is the most dangerous skin cancer which causes many deaths annually. However, early detection can help treat it. For accurate detection of melanoma, dermatologists use biopsy which is usually associated with pain, time and cost. With the advancement of technology and the development of smartphones, many mobile applications have been designed for early detection of melanoma. Although they are fast in the detection of melanoma and save time and money, they are not as accurate as the biopsy. In this paper, the authors proposed an application for early detection of melanoma using image processing methods and pattern recognition algorithms by Android Studio software, Java programming language, and the OpenCV library. All detection steps were carried out using the Android smartphone. For better performance in the classification step, in addition to the smartphone, a computer was also used. This application is user-friendly and the calculated Accuracy, Sensitivity, and Specificity are 95%, 98%, and 92.19% on average, respectively. It should be noted that these results are more reliable when the lesions are geometrically distinct.

关键词： melanoma image processing smartphone android pattern recognition algorithm OpenCV library

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Reconstructing the Medical image by Autoencoder with Stochastic processing in Neural Network 3

Reconstructing the Medical Image by Autoencoder with Stochas...

引用

3rd international conference on Inventive Research in Computing Applications, ICIRCA 2021

作者： Senthil Kumar, V. Jayalakshmi, V. Vels Institute of Science Technology and Advanced Studies Department of Computer Science Chennai India Vels Institute of Science Technology and Advanced Studies Department of Computer Applications Chennai India

ISBN: (纸本)9780738146270

The working on image to perform different operation is known as image processing. Digital image is a collection of a defined number of pixels. Each feature has a particular pixel value at a specific position. image restoration can be considered as an image enrichment where the final image is printed with more important features that create more appealing for the spectator but it is not essential to create genuine data from the point of a scientific vision. Autoencoder is one of the techniques in artificial neural network to analyze and predict a huge volume of data with different many features. This technique has three stages namely the first one is encoding, second one is compression and third one is decoding. Denoising autoencoder is an enhanced technique for image processing to reconstruct the damaged image to original image. Denoising autoencoder techniques are applying on the medical image to get the high quality image in digital image processing. In this paper, stochastic gradient descent algorithm is applied to predict the damaged pixel and replaced by new pixel values. The result is better than previous result in medical images. © 2021 IEEE.

关键词： Restoration

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A Real-time Fire Detection and Notification System Based on computer vision

A Real-time Fire Detection and Notification System Based on ...

引用

3rd international conference on IT Convergence and Security (ICITCS)

作者： Bayoumi, Sahar AlSobky, Elham Almohsin, Moneerah Altwaim, Manahel Alkaldi, Monira Alkahtani, Munera Univ Alexandria Inst Gradute Studies & Res Alexandria Egypt King Saud Univ Coll Comp & Informat Technol Riyadh 11421 Saudi Arabia

ISBN: (纸本)9781479928453

Fires are one of the main causes of death amongst the world. Although there are various fire detection systems most of them did not proof its effectiveness in detecting fires due to inefficiency or restrictions. For example, systems based on smoke sensors in detecting fires cannot be used in open areas because they are restricted to the existence of a ceiling or a wall. Besides that, having many flammable objects in open large areas, such as trees and fuel of car may interact with oxygen in the air which make fire growth and expansion very fast. According to the prior stated facts in this paper we present the project we worked on with the aim of implementing a more efficient and trustworthy fire detecting system. The project was done by using computer vision and image processing techniques to detect fire flames based on studying the fire properties besides an alarm notification system.

关键词： computer vision image processing Real time detection Fire detection Notification system

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Automatic Generation Method of Basketball Continuous Pitching Action Based on Multi-Objective Machine vision 3

Automatic Generation Method of Basketball Continuous Pitchin...

引用

3rd IEEE international conference on Information Systems and computer Aided Education, ICISCAE 2020

作者： Qiaomei, Liang Yi, Xu Guangdong University of Foreign Studies Guangzhou Guangdong Province510420 China Guangdong Eco-Engineering Polytechnic Guangzhou Guangdong Province510520 China

ISBN: (纸本)9781728183039

In order to improve the effectiveness of basketball continuous pitching motion guidance, the image characteristics of basketball continuous pitching motion are analyzed with image processing method, and an automatic generation method of basketball continuous pitching motion based on multi-objective machine vision is proposed. The method comprises the following steps of: establishing a shape feature point feature matching model of a basketball continuous pitching motion fuzzy image;extracting posture key action points of the basketball continuous pitching motion fuzzy image by combining a spectral feature detection method;carrying out adaptive enhancement processing on the basketball continuous pitching motion fuzzy image by adopting a shape feature segmentation method;and obtaining sub-band pixel feature points of the basketball continuous pitching motion fuzzy image by combining a point tracking matching method and a feature extraction method. The fuzzy image of basketball continuous pitching motion is enhanced to improve the expression ability of posture information of fuzzy noise points in the image. The significant contrast enhancement processing of the fuzzy image of basketball continuous pitching motion is carried out through the point tracking recognition method, and the multi-objective machine vision features of the fuzzy image of basketball continuous pitching motion are extracted to realize automatic generation and accurate recognition of the fuzzy image of basketball continuous pitching motion. The simulation results show that the output peak signal-to-noise ratio automatically generated by using this method for basketball continuous pitching motion is higher, and the image recognition ability is better. Therefore, it is necessary to improve the performance of the system. © 2020 IEEE.

关键词： computer vision

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Perceptual organization of occluding contours

引用

Proceedings 3rd international conference on computer vision

作者： Williams, Lance R. Comput & Inf Sci Dept Univ of Massachusetts Amherst MA USA

ISBN: (纸本)0818620579

The mechanics of occlusion of one surface by another are described by a set of integer linear constraints. These constraints insure that the output of a contour grouping process is physically valid and consistent with the image evidence. Among the many feasible solutions, the most compelling is the solution which best explains the presence and form of image structure. The problem of computing a complete and consistent surface boundary representation is reduced to solving an integer linear program.

关键词： image processing

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Machine-vision-Assisted Performance Monitoring in Turning Inconel 718 Material Using image processing 3rd

Machine-Vision-Assisted Performance Monitoring in Turning In...

引用

3rd international conference on Emerging Research in Electronics, computer Science and Technology (ICERECT)

作者： Chethan, Y. D. Ravindra, H. V. Gowda, Y. T. Krishne Maharaja Inst Technol Mysuru Mandya 571438 Karnataka India PES Coll Engn Dept Mech Engn Mandya 571401 Karnataka India

ISBN: (纸本)9789811358029;9789811358012

Machining performance monitoring is the utilization of different sensors to determine the condition of processes. Machine vision system has been used to monitor the state of both cutting tool and workpiece during turning process. The turning experiments on Inconel 718 material have been performed in a precision lathe using coated carbide cutting tool in dry conditions. Cutting tool and machined surface images were acquired using machine vision. image features of machined surface and cutting tool were extracted by processing the images. image features such as wear area and perimeter have been considered to characterize tool wear state;consequently, machined surface state was characterized by means of image histogram frequency. Further, trends have been plotted with image features extracted from both tool and machined surfaces. Results indicate that monitoring of turning performance could be effectively accomplished by plotted trends.

关键词： Machine vision image processing image histogram Cutting tool wear

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A Pharmacology Toolkit for Animal Pose Estimation, Tracking and Analysis 3

A Pharmacology Toolkit for Animal Pose Estimation, Tracking ...

引用

3rd international Mobile, Intelligent, and Ubiquitous Computing conference, MIUCC 2023

作者： Saleh, Dema Ahmed, Moemen Zaafan, Mai Farouk, Yasmine Atia, Ayman Giza Egypt HCI-LAB Faculty of Computers and Artificial Intelligence Helwan University Egypt

ISBN: (纸本)9798350306231

Pose estimations have increased dramatically in the realm of computer vision since the introduction of sensor camera technology and the development of deep networks. Since predicting animal poses is a critical first step in understanding animal behaviour, animal position studies are included in the research on pose estimations. Two different studies were used to identify the crossing, rearing and grooming behaviours in an open field experiment. The first concentrated on crossing while the second concentrated on grooming and rearing. After employing various picture processing techniques, both trials were able to count the behaviours. Through the use of computer vision, deep learning networks, euclidean distance matching algorithms, and image processing, The desired output of classifying and tracking several mouse behaviours like crossing and rearing in an open-field experiment are achieved. The rearing experiment resulted in an accuracy of 97% across all mice. © 2023 IEEE.

关键词： computer vision

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Multi-directional Laplacian pyramid image fusion algorithm 3

Multi-directional Laplacian pyramid image fusion algorithm

引用

3rd international conference on Mechanical, Control and computer Engineering (ICMCCE)

作者： Mao Run Fu Xian Song Niu Ping-juan Wang Hui Quan Pan Jie Li Shu Shu Liu Lei Tianjin Polytech Univ Sch Elect Engn & Automat Tianjin Peoples R China Tianjin Polytech Univ Sch Elect & Informat Engn Tianjin Peoples R China

ISBN: (纸本)9781538684818

The traditional Laplacian pyramid fusion method cannot effectively reflect the edge information of the fused image and the poor contrast. A Laplacian pyramid algorithm with multi-directional joint averaging is proposed. First, the input image is decomposed using the Laplacian pyramid. Secondly, for the high frequency coefficient, the rule of extracting the multidirectional feature map of the joint average fusion is adopted;the low frequency coefficient adopts the regional average gradient adaptive weighted fusion rule. Finally, the fused image is obtained by the reconstruction process of the inverse Laplacian pyramid transform. Experimental results show that the algorithm can effectively reflect the edge information of the fused image and rich background details.

关键词： image fusion image processing Laplacian pyramid multidirectional feature

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