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Tytuł:
Reduced data for curve modeling – applications in graphics, computer vision and physics
Autorzy:
Janik, M.
Kozera, R.
Kozioł, P.
Powiązania:
https://bibliotekanauki.pl/articles/102785.pdf
Data publikacji:
2013
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
interpolation
computer vision
computer graphics
physics
Opis:
In this paper we consider the problem of modeling curves in R n via interpolation with out apriori specified interpolation knots. We discuss two approaches to estimate missing knots{ti}mi=0 for non-parametric data(i.e.collection of points {qi}mi=0, where qiRn). The first approach (uniforme valuation) is based on blind guess in which knots {ˆti}mi=0 are chosen uniformly. The second approach (cumulative chord parameterization), incorporates the geometry of the distribution of data points.More precisely the difference ˆti+1−ˆti is equal to the Euclidean distance between data points qi+1 and qi. The second method partially compensates for the loss of the information carried by the reduced data. We also present the application of the above schemes for fitting non-parametric data in computer graphics (light-source motion rendering),in computer vision (image segmentation)and in physics (high velocity particles trajectory modeling).Though experiments are conducted for points in R2 and R3 the entire method is equally applicable in Rn.
Źródło:
Advances in Science and Technology. Research Journal; 2013, 7, 18; 28-35
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Xception-based Architecture with Cross-sampled Training for Image Quality Assessment on KonIQ-10ĸ
Autorzy:
Tomasz, M. Lehmann
Przemyslaw, Rokita
Powiązania:
https://bibliotekanauki.pl/articles/31339412.pdf
Data publikacji:
2023
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Instytut Informatyki Technicznej
Tematy:
image quality assessment
computer vision
Xception
Opis:
Image quality assessment is a crucial task in various fields such as digital photography, online content creation, and automated quality control, as it ensures an optimal visual experience and aids in maintaining consistent standards. In this paper, we propose an efficient method for training image quality assessment models on the KonIQ-10ĸ dataset. Our novel approach utilizes a dual-Xception architecture that analyzes both the image content and additional image parameters, outperforming traditional single convolutional models. We introduce cross-sampling methods with random draw sampling of instances from majority classes, effectively enhancing prediction quality in the Mean Opinion Score(MOS) ranges that are underrepresented in the database. This methodology allows us to achieve near state-of-the-art results with limited computing costs and resources. Most importantly, our predictions across the entire spectrum of MOS values maintain consistent quality. Because of using a novel and highly effective method for image sampling, we achieved these results with much lower computational cost, making our approach the most effective way of MOS estimation on the KonIQ-10ĸ database.
Źródło:
Machine Graphics & Vision; 2023, 32, 2; 109-127
1230-0535
2720-250X
Pojawia się w:
Machine Graphics & Vision
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The histogram-enhanced Hough transform applied to automated readout of analogue gauge meters using digital image processing
Autorzy:
Pociecha, D.
Żyłka, P.
Powiązania:
https://bibliotekanauki.pl/articles/114270.pdf
Data publikacji:
2015
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
metrology
computer vision
digital image processing
Opis:
The paper presents a computer vision technique developed for automated reading of analogue gauge meters. The system utilizes a mobile phone digital camera for image stream capturing and the Hough transform supplemented by multiply histogram analysis for locating a pointer position and parallax effect correction. The system is capable of working with minimal user supervision and its indicator position detection uncertainty is superior to that provided by a human eye. An attempt to use the algorithm implementation for semi-automatic calibration of an analogue voltmeter is also presented.
Źródło:
Measurement Automation Monitoring; 2015, 61, 11; 507-511
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stereovision 3D type workspace mapping system architecture for transport devices
Autorzy:
Szpytko, J.
Hyla, P.
Powiązania:
https://bibliotekanauki.pl/articles/246263.pdf
Data publikacji:
2010
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
stereovision
computer vision
work space mapping
Opis:
One of the effects of the exponential growth universally available computing power is decrease of the hardware cost especially multimedia components. This trend combined with integration of image acquisition hardware for multimedia applications for personal computers, enable to create new kind of vision systems - stereovision. The system presented on this paper using two synchronized cameras with USB type interface. In order to obtain an exact copy of the object in 3D type space is necessary to gather the Information about projected points of the space onto the more than one image. The paper is focus on double camera stereovision system and calibration problem with image rectification. The target was achieved with use open source Computer Vision libraries and toolboxes. Practical implementation of presented basic stereovision system (based on two cameras) is addressed for transportation devices which are operating in fixed 3D type space and include for example: device movement trajectory controlling, possible events detecting and worh space of materia handling devices modeling. Paper contains the following key chapters: cameras calibration problem short discussion, single camera calibration approach, and stereovision system architecture and calibration approach.
Źródło:
Journal of KONES; 2010, 17, 4; 495-503
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessment of the effectiveness of computer vision using the OpenCV package in finding the centre of a drilled hole in wood based materials
Autorzy:
Król, Patryk
Król, Katarzyna
Powiązania:
https://bibliotekanauki.pl/articles/2200143.pdf
Data publikacji:
2020
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
computer vision
wood-based panels
machining
Opis:
Assessment of the effectiveness of computer vision using the OpenCV package in finding the centre of a drilled hole in wood-based materials. Small diameter holes made in wood-based materials were scanned by non-professional scanning equipment and then analysed to determine the location of the hole. The quality of the hole centre estimation was evaluated by a survey of 21 people. It has been shown that the evaluation using the HoughCirlcles function has an error of less than 0.05 mm in 18 out of 28 cases.
Ocena skuteczności wizji komputerowej z wykorzystaniem pakietu OpenCV w znajdowaniu środka wierconego otworu w materiałach drewnopochodnych. Otwory o małej średnicy wykonane w materiałach drewnopochodnych zostały zeskanowane przez nieprofesjonalny sprzęt skanujący, a następnie przeanalizowane w celu określenia lokalizacji otworu. Jakość oszacowania środka otworu została oceniona w ankiecie przeprowadzonej wśród 21 osób. Wykazano, że ocena za pomocą funkcji HoughCirlcles ma błąd mniejszy niż 0,05 mm w 18 z 28 przypadków.
Źródło:
Annals of Warsaw University of Life Sciences - SGGW. Forestry and Wood Technology; 2020, 111; 68--72
1898-5912
Pojawia się w:
Annals of Warsaw University of Life Sciences - SGGW. Forestry and Wood Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Detrimental Starfish Detection on Embedded System: A Case Study of YOLOv5 Deep Learning Algorithm and TensorFlow Lite framework
Autorzy:
Toan, Nguyen Quoc
Powiązania:
https://bibliotekanauki.pl/articles/2086221.pdf
Data publikacji:
2022
Wydawca:
Politechnika Lubelska. Instytut Informatyki
Tematy:
deep learning
computer vision
YOLO
embedded system
Opis:
There is a great range of spectacular coral reefs in the ocean world. Unfortunately, they are in jeopardy, due to an overabundance of one specific starfish called the coral-eating crown-of-thorns starfish (or COTS). This article provides research to deliver innovation in COTS control. Using a deep learning model based on the You Only Look Once version 5 (YOLOv5) deep learning algorithm on an embedded device for COTS detection. It aids professionals in optimizing their time, resources, and enhances efficiency for the preservation of coral reefs worldwide. As a result, the performance over the algorithm was outstanding with Precision: 0.93 - Recall: 0.77 - F1score: 0.84.
Źródło:
Journal of Computer Sciences Institute; 2022, 23; 105--111
2544-0764
Pojawia się w:
Journal of Computer Sciences Institute
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Breast cancer cad system by using transfer learning and enhanced ROI
Autorzy:
Al-Huseiny, Muayed S
Sajit, Ahmed S
Powiązania:
https://bibliotekanauki.pl/articles/2097433.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
mammography
transfer learning
computer vision
image processing
Opis:
Computer systems are being employed in specialized professions such as medical diagnosis to alleviate some of the costs and to improve dependability and scalability. This paper implements a computer aided breast cancer diagnosis system. It utilizes the publicly available mini MIAS mammography image dataset. Images are preprocessed to clean isolate breast tissue region. Extracted regions are used to adjust and verify a pretrained convolutional deep neural network, the GoogLeNet. The implemented model shows good performance results compared to other published works with accuracy of 86.6%, sensitivity of 75% and specificity of 88.9%.
Źródło:
Applied Computer Science; 2022, 18, 1; 99--111
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Onboard visual tracking for UAV’S
Autorzy:
Bănică, Marian Valentin
Rădoi, Anamaria
Pârvu, Petrișor Valentin
Powiązania:
https://bibliotekanauki.pl/articles/198201.pdf
Data publikacji:
2019
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
UAV
computer vision
tracking
wizja komputerowa
śledzenie
Opis:
Target tracking is one of the most common research themes in Computer vision. Ideally, a tracking algorithm will only once receive information about the target to be tracked and will be fast enough to identify the target in the remaining frames, including when its location changes substantially from one frame to another. In addition, if the target disappears from the area of interest, the algorithm should be able to re-identify the desired target. Target tracking was done using a drone with a Jetson TX2 computer onboard. The program runs at the drone level without the need for data processing on another device. Cameras were attached to the drones using a gimbal that maintains a fixed shooting angle. Target tracking was accomplished by placing it in the centre of the image with the drone constantly adjusting to keep the target properly framed. To start tracking, a human operator must fit the target he wishes to follow in a frame. The functionality of this system is excellent for remote monitoring of targets.
Źródło:
Zeszyty Naukowe. Transport / Politechnika Śląska; 2019, 105; 35-48
0209-3324
2450-1549
Pojawia się w:
Zeszyty Naukowe. Transport / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Navigation strategy for mobile robot based on computer vision and YOLOv5 network in the unknown environment
Autorzy:
Bui, Thanh-Lam
Tran, Ngoc-Tien
Powiązania:
https://bibliotekanauki.pl/articles/30148249.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
mobile robot
navigation
deep learning
computer vision
Opis:
The capacity to navigate effectively in complex environments is a crucial prerequisite for mobile robots. In this study, the YOLOv5 model is utilized to identify objects to aid the mobile robot in determining movement conditions. However, the limitation of deep learning models being trained on insufficient data, leading to inaccurate recognition in unforeseen scenarios, is addressed by introducing an innovative computer vision technology that detects lanes in real-time. Combining the deep learning model with computer vision technology, the robot can identify different types of objects, allowing it to estimate distance and adjust speed accordingly. Additionally, the paper investigates the recognition reliability in varying light intensities. When the light illumination increases from 300 lux to 1000 lux, the reliability of the recognition model on different objects also improves, from about 75% to 98%, respectively. The findings of this study offer promising directions for future breakthroughs in mobile robot navigation.
Źródło:
Applied Computer Science; 2023, 19, 2; 82-95
1895-3735
2353-6977
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Realization, programming and controlling of the stewart-gough platform
Autorzy:
Owoc, Dawid
Ludwiczak, Krzysztof
Piotrowski, Robert
Powiązania:
https://bibliotekanauki.pl/articles/384848.pdf
Data publikacji:
2020
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
Stewart-Gough platform
ball & plate
computer vision
Opis:
This paper presents realization, programming, and controlling of a low cost Stewart‐Gough platform (SGP) with rotary actuators. The realized SGP is applied in a ball & plate control system. Developed dedicated soft ware consists of embedded and application software for both the SGP positioning system and the ball & plate control system. A ball position is being obtained using com‐ puter vision. The paper contains tests results for both an SGP positioning accuracy and a control quality of the ball & plate control system.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 2; 10-14
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
From Linear Classifier to Convolutional Neural Network for Hand Pose Recognition
Autorzy:
Rościszewski, P.
Powiązania:
https://bibliotekanauki.pl/articles/305776.pdf
Data publikacji:
2017
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
machine learning
artificial neural networks
computer vision
Opis:
Recently gathered image datasets and new capabilities of high performance computing systems allowed developing new artificial neural network models and training algorithms. Using the new machine learning models, computer vision tasks can be accomplished based on the raw values of image pixels, instead of specific features. The principle of operation of deep artificial neural networks is more and more resembling of what we believe to be happening in the human visual cortex. In this paper we build up an understanding of convolutional neural networks through investigating supervised machine learning methods suchas K-Nearest Neighbors, linear classifiers and fully connected neural networks. We provide examples and accuracy results based on our implementation aimed for the problem of hand pose recognition.
Źródło:
Computer Science; 2017, 18 (4); 341-356
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Web-Based API as a Tool in Teaching Computer Vision Concepts
Autorzy:
ZACNIEWSKI, ARTUR
Powiązania:
https://bibliotekanauki.pl/articles/455716.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Rzeszowski
Tematy:
Web-based API
Computer Vision
image processing
Opis:
The article presents the stages of building Web-based API as a tool for teaching selected concepts of image processing server and shows a structure allowing for its implementation. During the implementation open source tools were used – graphical library OpenCV and Python programming language, which allows the implementation of both web part (by Django framework), as well as the cooperation with the above library. Idea of the creation of new Web-based API endpoints and the ability to change the parameters library OpenCV algorithms by modifying the URL in your browser were shown. Stages of creating each endpoint has been depicted with practical example on the image processing. Advantages and limitations of the proposed solution were presented.
Źródło:
Edukacja-Technika-Informatyka; 2017, 8, 1; 297-204
2080-9069
Pojawia się w:
Edukacja-Technika-Informatyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Cooling fan controlled by embedded vision system
Autorzy:
Kula, Sebastian
Powiązania:
https://bibliotekanauki.pl/articles/376210.pdf
Data publikacji:
2020
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
computer vision
deep neural networks
electromechanical systems
human computer interaction
Opis:
The HMI (human machine interaction) systems are widely used to control machines and variety of devices. Currently the HMI solutions, based on touch screens are almost commonly used in many domains, however the number of devices, which interaction with the user is based on speech recognition or user gesture recognition increases systematically. The paper focuses on the electromechanical system, which applies gestures and handwritten digits to control the speed of the DC cooling fan. The system crucial elements are the AVR microcontroller and the developer board, equipped with the embedded supercomputer NVIDIA Jetson TX1. To create the software part of the system artificial intelligence algorithms and deep neural networks were applied. The paper describes the complete routine of data preprocessing, deep neural network training and testing with the use of the GPU Tesla K20 and with the use of the DIGITS (Deep Learning GPU Training System), deployment of the trained model on Jetson TX1 board and the system execution. The system enables to control the fan through the two gestures (“stone”, ”paper”) or through four handwritten digits.
Źródło:
Poznan University of Technology Academic Journals. Electrical Engineering; 2020, 104; 7-16
1897-0737
Pojawia się w:
Poznan University of Technology Academic Journals. Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
MarQR technology for measuring relative displacements of building structure elements with regard to joints and cracks
Autorzy:
Woźniak, Marek
Woźniak, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/1396890.pdf
Data publikacji:
2020
Wydawca:
Politechnika Warszawska. Wydział Geodezji i Kartografii
Tematy:
crack
meter
monitoring
QR code
photogrammetry
computer vision
Opis:
The article presents an original optical system to measure displacements across joints or cracks in building structures. It describes the concept of system operation, algorithms to be followed and results of practical tests that have been performed. The proposed solution is based on digital photos taken with a non-metric digital camera, modified by defining its internal orientation elements and correction of lens distortion during calibration, constituting the measurement instrument registering the pictures of markers. QR (Quick Response) codes are proposed to be the markers. Being digitally processed, a set of registered images allow visualising the measured size of occurred displacements. Owing to this solution, it is possible to obtain data on a mutual position of two or more QR codes in the form of translation elements in 3D space and appropriate three orientation angles. Appointed elements are unequivocal in spatial interpretation and not limited by dimension. As the tests performed by the authors show, the results are more than satisfactory. The proposed measurement technology is an objective system of data acquisition, suitable for automating the whole monitoring process of displacements of building structure elements concerning joints and cracks.
Źródło:
Reports on Geodesy and Geoinformatics; 2020, 109; 33-40
2391-8365
2391-8152
Pojawia się w:
Reports on Geodesy and Geoinformatics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hardware implementation of the Hough Techniques for Irregular Colour and Grey-level Pattern Recognition
Autorzy:
Żorski, W.
Żak, A.
Turner, M.
Powiązania:
https://bibliotekanauki.pl/articles/273196.pdf
Data publikacji:
2002
Wydawca:
Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
Tematy:
Hough transform
computer vision
hardware implementation
irregular patterns
Opis:
This paper presents a hardware implementation of the Hough technique applied to the tasks of irregular colour and grey-level pattern recognition. The presented method is based on the Hough Transform with a parameter space defined by translation, rotation and scaling operations. An essential element of this method is the generalisation of the Hough Transform for grey level and colour images. The technique simplifies the application of the Hough Transform to irregular patterns recognition tasks. The hardware implementation accelerates the calculations considerably and may be used in computer vision systems, for example, in a robotic system.
Źródło:
Biuletyn Instytutu Automatyki i Robotyki; 2002, R. 8, nr 17, 17; 25-43
1427-3578
Pojawia się w:
Biuletyn Instytutu Automatyki i Robotyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 75

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