Thematische Bibliographien / Open Source Computer Vision (OpenCV)

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte

Auswahl der wissenschaftlichen Literatur zum Thema „Open Source Computer Vision (OpenCV)“

Autor: Grafiati
Veröffentlicht am 7. Juni 2025
Zuletzt aktualisiert am 2. August 2025

Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an

Wählen Sie eine Art der Quelle aus:

Machen Sie sich mit den Listen der aktuellen Artikel, Bücher, Dissertationen, Berichten und anderer wissenschaftlichen Quellen zum Thema "Open Source Computer Vision (OpenCV)" bekannt.

Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.

Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.

Zeitschriftenartikel zum Thema "Open Source Computer Vision (OpenCV)"

1

Uranishi, Yuki. "OpenCV: Open Source Computer Vision Library." Journal of The Institute of Image Information and Television Engineers 72, no. 9 (2018): 736–39. http://dx.doi.org/10.3169/itej.72.736.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
2

JETENSKÝ, Pavel. "USING OPEN SOURCE OPENCV LIBRARY FOR PRACTICAL COURSES OF COMPUTER VISION." Journal of Technology and Information 5, no. 1 (2013): 115–19. http://dx.doi.org/10.5507/jtie.2013.017.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
3

Song, Jaehyun, Hwanjin Jeong, and Jinkyu Jeong. "Performance Optimization of Object Tracking Algorithms in OpenCV on GPUs." Applied Sciences 12, no. 15 (2022): 7801. http://dx.doi.org/10.3390/app12157801.

Der volle Inhalt der Quelle
Annotation:
Machine-learning-based computer vision is increasingly versatile and being leveraged by a wide range of smart devices. Due to the limited performance/energy budget of computing units in smart devices, the careful implementation of computer vision algorithms is critical. In this paper, we analyze the performance bottleneck of two well-known computer vision algorithms for object tracking: object detection and optical flow in the Open-source Computer Vision library (OpenCV). Based on our in-depth analysis of their implementation, we found the current implementation fails to utilize Open Computing
APA, Harvard, Vancouver, ISO und andere Zitierweisen
4

Kumar, Chandan. "Hill Climb Game Play with Webcam Using OpenCV." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 441–53. http://dx.doi.org/10.22214/ijraset.2022.39860.

Der volle Inhalt der Quelle
Annotation:
Abstract: Computer vision is a process by which we can understand how the images and videos are stored and manipulated, also it helps in the process of retrieving data from either images or videos. Computer Vision is part of Artificial Intelligence. Computer-Vision plays a major role in Autonomous cars, Object detections, robotics, object tracking, etc. OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perc
APA, Harvard, Vancouver, ISO und andere Zitierweisen
5

Malik, Udit. "Image Processing in Open CV." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 2664–66. http://dx.doi.org/10.22214/ijraset.2022.44527.

Der volle Inhalt der Quelle
Annotation:
Abstract: Now a day’s need of Machine Learning is growing day by day because by using Machine learning algorithm anyone can get accurate results. Image Processing is one of the many applications of machine Learning. OpenCV is one of the famously used open-source Python libraries meant exclusively for Computer Vision and Image Processing. Modules and methods available in OpenCV allow users to perform image processing with a few lines of codes
APA, Harvard, Vancouver, ISO und andere Zitierweisen
6

Zulkhaidi, Tengku Cut Al-Saidina, Eny Maria, and Yulianto Yulianto. "Pengenalan Pola Bentuk Wajah dengan OpenCV." Jurnal Rekayasa Teknologi Informasi (JURTI) 3, no. 2 (2020): 181. http://dx.doi.org/10.30872/jurti.v3i2.4033.

Der volle Inhalt der Quelle
Annotation:
Pada penelitian ini akan menggunakan module OpenCV pada bahasa pemrograman python untuk mengenali wajah sesorang yang menggunakan Haar Cascades untuk mengenali bentuk wajah dan mata. Tahapan awal menggunakan open source dari intel untuk data wajah dan mata, dipadukan dengan module cascade classifier pada openCV untuk merubah data menjadi pengenalan bentuk wajah dari titik pada wajah yang dianggap sesuai dengan data yang telah disediakan. Banyak dari beberapa sistem pendeteksian wajah menggunakan metode computer vision sebagai metode pendeteksi objek. Metode computer vision dikenal memiliki kec
APA, Harvard, Vancouver, ISO und andere Zitierweisen
7

Shin, Donghee, Jangwon Jin, and Jooyoung Kim. "Enhancing Railway Maintenance Safety Using Open-Source Computer Vision." Journal of Advanced Transportation 2021 (April 27, 2021): 1–8. http://dx.doi.org/10.1155/2021/5575557.

Der volle Inhalt der Quelle
Annotation:
As high-speed railways continue to be constructed, more maintenance work is needed to ensure smooth operation. However, this leads to frequent accidents involving maintenance workers at the tracks. Although the number of such accidents is decreasing, there is an increase in the number of casualties. When a maintenance worker is hit by a train, it invariably results in a fatality; this is a serious social issue. To address this problem, this study utilized the tunnel monitoring system installed on trains to prevent railway accidents. This was achieved by using a system that uses image data from
APA, Harvard, Vancouver, ISO und andere Zitierweisen
8

G, Bhargavi. "Emergency Vehicle Detection and Traffic Prevention Using Open CV." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32298.

Der volle Inhalt der Quelle
Annotation:
The proposed project focuses on the development of an innovative system for "Emergency Vehicle Detection and Traffic Prevention using OpenCV." The project aims to enhance road safety and expedite emergency response by leveraging computer vision techniques implemented through the OpenCV framework. The primary objective is to design a robust algorithm that can accurately identify emergency vehicles in real-time based on distinct visual features such as color, shape, and motion patterns. OpenCV, a powerful open-source computer vision library, will serve as the foundation for image processing and
APA, Harvard, Vancouver, ISO und andere Zitierweisen
9

Zhang, Ling, Mu Yi Yin, Wei Li, and Hai Lin Liu. "Implementation of Camera Calibration Method Based on OpenCV." Applied Mechanics and Materials 602-605 (August 2014): 3796–99. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3796.

Der volle Inhalt der Quelle
Annotation:
Aimed at the applications of technology of camera calibration to 3D reconstruction, the ideal camera model is discussed, especially on the influences and solving methods of lens radial distortion andtangential distortion, and an arithmetic of camera calibration based on OpenCV (open source computer vision library) in Visual C++ environment is given. This arithmetic makes use of the functions of the library effectively, so it has high calibration precision and good robust. It can meet the needs of august reality and othercomputer vision systems.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
10

Xu, Jin. "RESEARCH ON TARGET RECOGNITION OF COMBAT ROBOT BASED ON OPENCV." EPH - International Journal of Science And Engineering 7, no. 3 (2021): 12–21. http://dx.doi.org/10.53555/ephijse.v7i3.187.

Der volle Inhalt der Quelle
Annotation:
With the wide application of robots in various fields of human life, the research on improving the level of intelligent robot is highly concerned by domestic and foreign scholars. As an important part of intelligent robot, robot vision has been paid more and more attention in recent years. Computer vision technology is the use of image processing technology to make the camera and the human eye to identify, judge, feature detection, tracking and other visual functions. The computer vision system is to create a complete artificial intelligence system which can get the needed information in the p
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Mehr Quellen

Dissertationen zum Thema "Open Source Computer Vision (OpenCV)"

1

Cardoso, José Ricardo Ferreira. "Desenvolvimento de Estrutura Robótica para Aquisição e Classificação de Imagens (ERACI) de Lavoura de Cana-de-Açúcar /." Jaboticabal, 2020. http://hdl.handle.net/11449/192961.

Der volle Inhalt der Quelle
Annotation:
Orientador: Carlos Eduardo Angeli Furlani<br>Resumo: A agricultura digital tem contribuído com a melhoria da eficiência na aplicação de insumos ou no plantio em local pré-determinado, resultando no aumento da produtividade. Nesta realidade a aplicação de técnicas de Processamento de Imagens Digitais, bem como a utilização de sistemas que utilizam a Inteligência Artificial, tem ganhado cada vez mais a atenção de pesquisadores que buscam a sua aplicação nos mais diversos meios. Com o objetivo de desenvolver um sistema robótico que utiliza um sistema de visão computacional capaz analisar uma imag
APA, Harvard, Vancouver, ISO und andere Zitierweisen
2

Skepetzis, Vasilios, and Pontus Hedman. "The Effect of Beautification Filters on Image Recognition : "Are filtered social media images viable Open Source Intelligence?"." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44799.

Der volle Inhalt der Quelle
Annotation:
In light of the emergence of social media, and its abundance of facial imagery, facial recognition finds itself useful from an Open Source Intelligence standpoint. Images uploaded on social media are likely to be filtered, which can destroy or modify biometric features. This study looks at the recognition effort of identifying individuals based on their facial image after filters have been applied to the image. The social media image filters studied occlude parts of the nose and eyes, with a particular interest in filters occluding the eye region. Our proposed method uses a Residual Neural Net
APA, Harvard, Vancouver, ISO und andere Zitierweisen
3

Savas, Zafer. "Real-time Detection And Tracking Of Human Eyes In Video Sequences." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606459/index.pdf.

Der volle Inhalt der Quelle
Annotation:
Robust, non-intrusive human eye detection problem has been a fundamental and challenging problem for computer vision area. Not only it is a problem of its own, it can be used to ease the problem of finding the locations of other facial features for recognition tasks and human-computer interaction purposes as well. Many previous works have the capability of determining the locations of the human eyes but the main task in this thesis is not only a vision system with eye detection capability<br>Our aim is to design a real-time, robust, scale-invariant eye tracker system with human eye movement in
APA, Harvard, Vancouver, ISO und andere Zitierweisen
4

Magnusson, Klas E. G. "Segmentation and tracking of cells and particles in time-lapse microscopy." Doctoral thesis, KTH, Signalbehandling, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-196911.

Der volle Inhalt der Quelle
Annotation:
In biology, many different kinds of microscopy are used to study cells. There are many different kinds of transmission microscopy, where light is passed through the cells, that can be used without staining or other treatments that can harm the cells. There is also fluorescence microscopy, where fluorescent proteins or dyes are placed in the cells or in parts of the cells, so that they emit light of a specific wavelength when they are illuminated with light of a different wavelength. Many fluorescence microscopes can take images on many different depths in a sample and thereby build a three-dim
APA, Harvard, Vancouver, ISO und andere Zitierweisen
5

Blomgren, Staffan, and Marcus Hertz. "Facing the differences between Facebook and OpenCV : A facial detection comparison between Open Library Computer Vision and Facebook." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166281.

Der volle Inhalt der Quelle
Annotation:
Face detection is used in many different areas and with this thesis we aim to show the difference between Facebooks face detection soft-ware compared with an open source version from OpenCV. By using the simplest implementation of OpenCV we want to find out if it is viable for use in personal applications and be of help for others wanting to implement face detection. The dataset was meticulously checked to find the exact number of faces in each image so that the optimal result is given. The conclusion of this study is that Facebooks algorithm is better trained and thus has better results, howe
APA, Harvard, Vancouver, ISO und andere Zitierweisen
6

Wertheim, Michal. "Zpracování obrazu v systému Android - odečet hodnoty plynoměru." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-221062.

Der volle Inhalt der Quelle
Annotation:
This thesis describes the design of the image processing for Android system, consisting of the choice of the development environment and its implementation. Workflow solution to the problem involves development of the Androidapplication and it’s graphical user interface. The text includes description of the application functionality, communicationwith a camera, storing and retrieving data. It also describes used algorithms and image processing methods used for detecting values from the counter of the gas meter.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
7

胡銜之. "OpenCV Source Computer Vision Library Investigation Achieve Search Image Face Recognition System." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/83012203444520023963.

Der volle Inhalt der Quelle
Annotation:
碩士<br>國立彰化師範大學<br>資訊工程學系<br>104<br>Era of technology advancement, face recognition is popular subject. Smartphone possesses camera is very common. Smartphone camera function upgrade, replace tradition camera by smartphone. This paper use Sobel Edge Detection and Threshold for OpenCV face recognition. Enhance catch the face accurate. Experiment with different edge detection comparison.
APA, Harvard, Vancouver, ISO und andere Zitierweisen

Bücher zum Thema "Open Source Computer Vision (OpenCV)"

1

Helena, Mitasova, ed. Open source GIS: A GRASS GIS approach. 3rd ed. Springer, 2008.

Den vollen Inhalt der Quelle finden
APA, Harvard, Vancouver, ISO und andere Zitierweisen
2

Helena, Mitasova, ed. Open source GIS: A GRASS GIS approach. 2nd ed. Kluwer Academic Publishers, 2004.

Den vollen Inhalt der Quelle finden
APA, Harvard, Vancouver, ISO und andere Zitierweisen
3

Howse, Joseph. OpenCV for Secret Agents. Packt Publishing, 2015.

Den vollen Inhalt der Quelle finden
APA, Harvard, Vancouver, ISO und andere Zitierweisen
4

Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library. O'Reilly Media, 2017.

Den vollen Inhalt der Quelle finden
APA, Harvard, Vancouver, ISO und andere Zitierweisen
5

Gollapudi, Sunila. Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs. Apress, 2019.

Den vollen Inhalt der Quelle finden
APA, Harvard, Vancouver, ISO und andere Zitierweisen
6

Brahmbhatt, Samarth. Practical OpenCV (Technology in Action). Apress, 2013.

Den vollen Inhalt der Quelle finden
APA, Harvard, Vancouver, ISO und andere Zitierweisen
7

Faruqui, Nuruzzaman. Open Source Computer Vision for Beginners: Learn OpenCV Using C++ in Fastest Possible Way. Independently Published, 2017.

Den vollen Inhalt der Quelle finden
APA, Harvard, Vancouver, ISO und andere Zitierweisen
8

Faruqui, Nuruzzaman. Open Source Computer Vision for Beginners: Learn OpenCV Using C++ in Fastest Possible Way. Independently Published, 2017.

Den vollen Inhalt der Quelle finden
APA, Harvard, Vancouver, ISO und andere Zitierweisen
9

Learning OpenCV 3 Computer Vision with Python - Second Edition: Unleash the Power of Computer Vision with Python Using OpenCV. Packt Publishing, Limited, 2015.

Den vollen Inhalt der Quelle finden
APA, Harvard, Vancouver, ISO und andere Zitierweisen
10

Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python. Apress L. P., 2023.

Den vollen Inhalt der Quelle finden
APA, Harvard, Vancouver, ISO und andere Zitierweisen

Buchteile zum Thema "Open Source Computer Vision (OpenCV)"

1

van Albada, Sacha J., Jari Pronold, Alexander van Meegen, and Markus Diesmann. "Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82427-3_4.

Der volle Inhalt der Quelle
Annotation:
AbstractWe are entering an age of ‘big’ computational neuroscience, in which neural network models are increasing in size and in numbers of underlying data sets. Consolidating the zoo of models into large-scale models simultaneously consistent with a wide range of data is only possible through the effort of large teams, which can be spread across multiple research institutions. To ensure that computational neuroscientists can build on each other’s work, it is important to make models publicly available as well-documented code. This chapter describes such an open-source model, which relates the
APA, Harvard, Vancouver, ISO und andere Zitierweisen
2

Rakshit, Sayan, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, and Subhasis Chaudhuri. "Multi-source Open-Set Deep Adversarial Domain Adaptation." In Computer Vision – ECCV 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58574-7_44.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
3

Butler, Daniel J., Jonas Wulff, Garrett B. Stanley, and Michael J. Black. "A Naturalistic Open Source Movie for Optical Flow Evaluation." In Computer Vision – ECCV 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33783-3_44.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
4

Jain, Vandana, Vasavi Devarasetty, and Rajendra Patrikar. "Droplet Position Estimator for Open EWOD System Using Open Source Computer Vision." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7470-7_69.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
5

Patel, Savan K., Falguni Suthar, Swati Patel, and Jigna Prajapati. "A Comparison of Top-Rated Open-Source CMS—Joomla, Drupal, and WordPress for E-Commerce Website." In Computer Vision and Robotics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7892-0_13.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
6

Cheema, Ahmad Raza, Mian Muhammad Waseem Iqbal, and Waqas Ali. "An Open Source Toolkit for iOS Filesystem Forensics." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-662-44952-3_15.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
7

Zhuang, Jia-Xin, Xiansong Huang, Yang Yang, et al. "OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark Under Heterogeneous AI Computing Platforms." In Pattern Recognition and Computer Vision. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18907-4_28.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
8

Günther, Manuel, Roy Wallace, and Sébastien Marcel. "An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms." In Computer Vision – ECCV 2012. Workshops and Demonstrations. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33885-4_55.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
9

Bakshi, Gaytri, Alok Aggarwal, Devanh Sahu, Rahul Raj Baranwal, Garima Dhall, and Manushi Kapoor. "Age, Gender, and Gesture Classification Using Open-Source Computer Vision." In Emerging Technologies in Data Mining and Information Security. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4052-1_8.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
10

Phalaprom, Settapong, and Prajaks Jitngernmadan. "iFeedingBot: A Vision-Based Feeding Robotic Arm Prototype Based on Open Source Solution." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58805-2_53.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen

Konferenzberichte zum Thema "Open Source Computer Vision (OpenCV)"

1

Burroughs, S., B. Lincoln, A. Adeel, et al. "New Directions and Software Tools Within the Process Systems Engineering Ecosystem." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.156838.

Der volle Inhalt der Quelle
Annotation:
Process Systems Engineering (PSE) provides the advanced conceptual framework and software tools to formulate and optimise well-considered integrated solutions that could accelerate the sustainability transition within the industrial sector. The landscape of advanced PSE is poised to undertake a considerable transformation with the rise in popularity of open-source and script-based software platforms with predictive modelling capabilities based on modern mathematical optimization techniques. This paper highlights three leading equation-based platforms-IDAES, Modelica, and GEKKO-that are increas
APA, Harvard, Vancouver, ISO und andere Zitierweisen
2

Islam, Md Repon, and Muhammad Sheikh Sadi. "Adapting Open-source Multimodal Large Language Models for Enhanced Vision Assistants." In 2024 27th International Conference on Computer and Information Technology (ICCIT). IEEE, 2024. https://doi.org/10.1109/iccit64611.2024.11021747.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
3

Jahan, Chowdhury Sadman, and Andreas Savakis. "Unknown Sample Discovery for Source Free Open Set Domain Adaptation." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2024. http://dx.doi.org/10.1109/cvprw63382.2024.00113.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
4

Xing, Shuo, Chengyuan Qian, Yuping Wang, et al. "OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW). IEEE, 2025. https://doi.org/10.1109/wacvw65960.2025.00113.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
5

Seyfioglu, Mehmet Saygin, Wisdom O. Ikezogwo, Fatemeh Ghezloo, Ranjay Krishna, and Linda Shapiro. "Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.01252.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
6

Jia, Xiaojun. "Fabric defect detection based on open source computer vision library OpenCV." In 2010 2nd International Conference on Signal Processing Systems (ICSPS). IEEE, 2010. http://dx.doi.org/10.1109/icsps.2010.5555633.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
7

Singh, Gurpreet, Ishika Gupta, Jaspreet Singh, and Navneet Kaur. "Face Recognition using Open Source Computer Vision Library (OpenCV) with Python." In 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2022. http://dx.doi.org/10.1109/icrito56286.2022.9964836.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
8

Lev Kirn, Vasja, Žiga Emeršič, Gregor Hrastnik, Nataša Meh Peer, and Peter Peer. "Introductory Computer Vision Teaching Materials for VET Education." In Strokovna konferenca ROSUS 2024: Računalniška obdelava slik in njena uporaba v Sloveniji 2024. Univerza v Mariboru, Univerzitetna založba, 2024. http://dx.doi.org/10.18690/um.feri.1.2024.5.

Der volle Inhalt der Quelle
Annotation:
Rapidly advancing development of artificial intelligence technologies, including deep learning techniques in the field of computer vision, has encouraged the need for early education about artificial intelligence in schools. This paper briefly describes the development of a computer vision curriculum, part of the AIM@VET (Artificial Intelligence Modules for Vocational Education and Training) EU project, targeting VET high-school students. The introductory materials presented in this paper are structured in three main teaching units (TUs), covering object detection and image segmentation. Each
APA, Harvard, Vancouver, ISO und andere Zitierweisen
9

Javed, Raja Haseeb, Ayesha Siddique, Rehan Hafiz, Osman Hasan, and Muhammad Shafique. "ApproxCT: Approximate Clustering Techniques for Energy Efficient Computer Vision in Cyber-Physical Systems." In 2018 12th International Conference on Open Source Systems and Technologies (ICOSST). IEEE, 2018. http://dx.doi.org/10.1109/icosst.2018.8632191.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
10

Sattar, Husnain, Muhammad Shamil Umar, Eeman Ijaz, and Muhammad Umair Arshad. "Multi-Modal Architecture for Cricket Highlights Generation: Using Computer Vision and Large Language Model." In 2023 17th International Conference on Open Source Systems and Technologies (ICOSST). IEEE, 2023. http://dx.doi.org/10.1109/icosst60641.2023.10414235.

Der volle Inhalt der Quelle
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Die Auswahlen zum Thema "Open Source Computer Vision (OpenCV)" für konkrete Quellenarten können Sie auch interessieren:
Zeitschriftenartikel
Wir bieten Rabatte auf alle Premium-Pläne für Autoren, deren Werke in thematische Literatursammlungen aufgenommen wurden. Kontaktieren Sie uns, um einen einzigartigen Promo-Code zu erhalten!

Zur Bibliographie