Academic literature on the topic 'Opencv'

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Journal articles on the topic "Opencv"

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Shen, Sitan. "Abnormal crop warning system based on OpenMV." Advances in Engineering Technology Research 9, no. 1 (2024): 665. http://dx.doi.org/10.56028/aetr.9.1.665.2024.

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In order to realize the early warning of abnormal crops, the photographing technology and image recognition technology of openMV and openCV are comprehensively applied to study the early warning of abnormal crops. The design take photos using openMV hardware platform and connects to the cloud through 5G module. Then it conducts in-depth processing such as gray processing, image denoising and boundary detection on the photos through the network server to obtain the location and size of abnormal areas, so as to help spray pesticides later and improve production efficiency.
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Domínguez, César, Jónathan Heras, and Vico Pascual. "IJ-OpenCV: Combining ImageJ and OpenCV for processing images in biomedicine." Computers in Biology and Medicine 84 (May 2017): 189–94. http://dx.doi.org/10.1016/j.compbiomed.2017.03.027.

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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.

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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
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Guilherme, M. Pereira, Albertazzi G. Jr Armando, and E. M. Haertel Maryah. "Kamera kalibráció OpenCV használatával." Fiatal Műszakiak Tudományos Ülésszaka 1. (2014) (2014): 329–32. http://dx.doi.org/10.36243/fmtu-2014.075.

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Singh, Mr Devanshu. "Virtual Mouse using OpenCV." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (2021): 1055–58. http://dx.doi.org/10.22214/ijraset.2021.38160.

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Abstract: This research introduces a novel method for controlling mouse movement with a real-time camera. Adding more buttons or repositioning the mouse's tracking ball are two common ways. Instead, we recommend that the hardware be redesigned. Our idea is to employ a camera and computer vision technologies to manage mouse tasks (clicking and scrolling), and we demonstrate how it can do all that existing mouse devices can. This project demonstrates how to construct a mouse control system.
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Yamamoto, Yuka. "Combining LabVIEW with OpenCV." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2018 (2018): 2P2—D03. http://dx.doi.org/10.1299/jsmermd.2018.2p2-d03.

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Aditya, P. S. R. V., P. Dinesh Sai, Purvaja Varati, and R. Rohan Singh. "Emotion Recognition using OpenCV." International Journal of Engineering and Advanced Technology 8, no. 5s (2019): 91–93. http://dx.doi.org/10.35940/ijeat.e1019.0585s19.

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The human face plays a pivotal role in identifying emotions, regardless of subject-independent features. For human-computer interaction, facial expressions form a platform for non-verbal communication. In this regard, a system which detects and analyses facial expressions, needs to be robust enough to account for human faces having multiple variability such as color, orientation, posture and so on. Our paper focuses on the technicalities which makes the system capable of addressing the variability associated with facial expressions. This is achieved using concepts of machine learning, deep lea
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Bachkar, Santosh, Shivam Bangar, Kumar Dalvi, and Piyush Anantwar. "Virtual Canvas using OpenCV." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 3505–12. http://dx.doi.org/10.22214/ijraset.2024.60589.

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Abstract: The main purpose of this project is to identify the human gestures according to that specific gesturesit will perform specific tasks. Project are going to use OpenCV library, Python programming language and also we will use colour detection and image segmentation techniques to achieve this. OpenCV is an open source computer vision library for performing various advanced image processing. In colour detection we can detect any colour in a given range of HSV colour space. The image segmentation is the process of labelling every pixel in an image, where each pixel shares the same certain
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R J, SANJAI. "LANELINE DETECTION USING OPENCV." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–7. https://doi.org/10.55041/isjem03392.

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Abstract - In view of the huge computing, poor anti-interference ability of traditional detection algorithm, it does not meet the requirement of the vehicle system, for which this paper proposed a lane detection method based on OpenCV. Preprocessing image in the OpenCV environment, adopting LMedSquare(Least Median Square) idea to select the best subset combined with least squares method to picewise fitting the lane so that it realized automatic identification of lane. This algorithm is suitable for both straight and curve. Simulation shows that this algorithm has well real-time performance, ac
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Upendra, M., T. Anuradha, and L. Prakash. "Bird Repeller Using Opencv." Procedia Computer Science 252 (2025): 975–84. https://doi.org/10.1016/j.procs.2025.01.058.

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Dissertations / Theses on the topic "Opencv"

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Balasubramanian, ArunKumar. "Benchmarking of Vision-Based Prototyping and Testing Tools." Master's thesis, Universitätsbibliothek Chemnitz, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-229999.

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The demand for Advanced Driver Assistance System (ADAS) applications is increasing day by day and their development requires efficient prototyping and real time testing. ADTF (Automotive Data and Time Triggered Framework) is a software tool from Elektrobit which is used for Development, Validation and Visualization of Vision based applications, mainly for ADAS and Autonomous driving. With the help of ADTF tool, Image or Video data can be recorded and visualized and also the testing of data can be processed both on-line and off-line. The development of ADAS applications needs image and video pr
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Hasnat, Md Abul. "Detection of circular bounding box in video streams." Master's thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-206272.

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The production line of industries are getting more efficient and having very high throughput. Different kinds of machineries are being used to make the production safe, fast, precise and reliable. Robot arm is such a machine which helps the production line to be more efficient and productive. Nowadays, many manufacturing industries are using robot-arms to get a competitive edge in manufacturing and can be outfitted for multiple applications like welding, material handling, thermal spraying, painting, drilling and so on. They are widely used to increase product quality and production demand and
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Ruggeri, Eugenio. "Tracking di oggetti mediante la libreria opencv." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7864/.

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Varano, Pietro. "Elaborazioni di immagini con la libreria OpenCV." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amslaurea.unibo.it/810/.

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Kumar, Surinder. "Lane Detection based on Contrast Analysis." Master's thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-206227.

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Computer vision and image processing systems are ubiquitous in automotive domain and manufacturing industry. Lane detection warning systems has been an elementary part of the modern automotive industry. Due to the recent progress in the computer vision and image processing methods, economical and flexible use of computer vision is now pervasive and computing with images is not just for the realm of the science, but also for the arts and social science and even for hobbyists. Image processing is a key technology in automotive industry, even now there is hardly a single manufacturing process tha
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Lotankar, Akshay Naresh. "Development of a smart-phone based augmented reality view application for driver assistance systems." Master's thesis, Universitätsbibliothek Chemnitz, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-229312.

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The goal of this thesis is to develop a smartphone application for augmented reality view; it is an initial attempt to realize a driver assistance functionality using just a smartphone and an external lens. Initially it depicts a brief analysis about the most feasible development technologies for mobile application development, selecting a proper lens and positioning of the smartphone in the car. Later, it discusses the strategies for real-time object detection using OpenCV; the video frames are processed using the strategies to find patterns in the videos. Different techniques like Hough-line
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Maddison, John. "Automatisk validering av skärmgrafik med OpenCV och Tesseract." Thesis, Linköpings universitet, Programvara och system, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-151912.

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I dagens flygplan finns det mycket information som på ett snabbt och pålitligt sätt behöver förmedlas till piloten via instrument på flera skärmar i cockpit. Att verifiera att skärmarna visar korrekt data för olika indata är ett tidskrävande och monotont arbete. Därför undersöker Saab möjligheten att automatisera delar av arbetet. Examensarbetet undersöker genom praktiskt implementation ifall det är möjligt att automatisera bildanalysen med hjälp av programmen OpenCV och Tesseract. Resultatet visade att det går att enkelt konstruera tester för att automatiskt identifiera oönskade förändringar
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Phothithiraphong, Thanaset. "Automated Enrichment of Global World View Information based on Car2X." Master's thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-204974.

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The purpose of this thesis is to develop the architecture to use the Car2X for observation the local traffic sign and displays it on the OpenStreetMap to provide more information of the road side to the driver. The proposed architecture of this thesis is to convert the traffic sign into the barcode and to be scanned by the barcode scanner and then wirelessly transfers the data to the web server to store the data and displays the traffic sign on the OpenStreetMap in the web browser. It uses two Raspberry Pi boards with CAN-Bus shields for transmitting the data on the CAN-Bus system in the car,
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Tonelli, Alfredo. "Image Processing e Computer Vision con Python e OpenCV." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20390/.

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Studio di uno degli ecosistemi software oggi maggiormente utilizzati per Image Processing e Computer Vision. Lo studio affrontato parte dalle discipline di Image Processing e Computer Vision, passando per le principali soluzioni software adottate, tra le quali spiccano il linguaggio di programmazione ad alto livello Python e la libreria di Computer Vision OpenCV, per terminare con esempi pratici di base utili per capire il funzionamento delle tecnologie illustrate.
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Семенов, О. В. "Визначення розмірів об’єктів на зображенні за допомогою бібліотеки Opencv". Thesis, Чернігів, 2021. http://ir.stu.cn.ua/123456789/23095.

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Семенов, О. В. Визначення розмірів об’єктів на зображенні за допомогою бібліотеки Opencv : випускна кваліфікаційна робота : 123 "Кoмп’ютepнa iнжeнepiя" / О. В. Семенов ; керівник роботи В. В. Казимир ; НУ "Чернігівська політехніка", кафедра iнфopмaцiйниx тa кoмп’ютepниx cиcтeм. – Чернігів, 2021. – 77 с.<br>Об’єктом дослідження даної роботи є процес розпізнавання об’єктів на зображенні з використанням методів комп’ютерної інженерії. Метою роботи є розробка проекту по знаходженню розмірів одягу на зображенні з використанням бібліотеки OpenCV. В першому розділі було проведено теоретичні дослідж
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Books on the topic "Opencv"

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Brahmbhatt, Samarth. Practical OpenCV. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-6080-6.

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Gollapudi, Sunila. Learn Computer Vision Using OpenCV. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4261-2.

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Shiqi, Yu, ed. OpenCV jiao cheng: Ji chu pian. Beijing hang kong hang tian da xue chu ban she, 2007.

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Dawson-Howe, Kenneth. A practical introduction to computer vision with OpenCV. John Wiley & Sons., Inc., 2014.

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Chung, Bryan WC. Pro Processing for Images and Computer Vision with OpenCV. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2775-6.

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Rafajłowicz, Ewaryst, Wojciech Rafajłowicz, and Andrzej Rusiecki. Algorytmy przetwarzania obrazów i wstęp do pracy z biblioteką OpenCV. Oficyna Wydawnicza Politechniki Wrocławskiej, 2009.

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Yunus Karaaslan, Ugur Gelisken, Birol Kuyumcu. OpenCv. Level, 2022.

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Brahmbhatt, Samarth. Practical OpenCV. Apress L. P., 2013.

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Datta, Samyak. Learning OpenCV. Packt Publishing - ebooks Account, 2016.

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Garcia, Gloria Bueno, Oscar Deniz Suarez, Noelia Vallez Enano, and Mª del Milagro Fernandez Carrobles. OpenCV Essentials. Packt Publishing, Limited, 2014.

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Book chapters on the topic "Opencv"

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Ramon, Manoel Carlos. "Using OpenCV." In Intel® Galileo and Intel® Galileo Gen 2. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6838-3_7.

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Modrzyk, Nicolas. "OpenCV with Origami." In Java Image Processing Recipes. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3465-5_2.

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Marques, Oge. "OpenCV and iOS." In Image Processing and Computer Vision in iOS. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54032-6_6.

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Gollapudi, Sunila. "OpenCV with Python." In Learn Computer Vision Using OpenCV. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4261-2_2.

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Blubaugh, David Allen, Steven D. Harbour, Benjamin Sears, and Michael J. Findler. "OpenCV and Perception." In Intelligent Autonomous Drones with Cognitive Deep Learning. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-6803-2_8.

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Schmidt, Harald. "Objektsegmentierung mit OpenCV." In Raspberry Pi programmieren mit C/C++ und Bash. Carl Hanser Verlag GmbH & Co. KG, 2018. http://dx.doi.org/10.3139/9783446453494.014.

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Brahmbhatt, Samarth. "CV Bling—OpenCV Inbuilt Demos." In Practical OpenCV. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-6080-6_3.

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Brahmbhatt, Samarth. "Introduction to Computer Vision and OpenCV." In Practical OpenCV. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-6080-6_1.

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Brahmbhatt, Samarth. "Setting up OpenCV on Your Computer." In Practical OpenCV. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-6080-6_2.

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Cicolani, Jeff. "An Introduction to OpenCV." In Beginning Robotics with Raspberry Pi and Arduino. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3462-4_9.

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Conference papers on the topic "Opencv"

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K K, Sivanessh, Vikram Sai M, and Saranya D. "Drowsiness Detection System Using OpenCV." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011843.

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Burujwale, Archana, Sahil Kumbhar, Sahil Kapase, Monish Wadile, and Shubham Pathak. "Automatic Floor Changing Elevator using OpenCV." In 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2024. http://dx.doi.org/10.1109/i-smac61858.2024.10714616.

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Geetha Rani, E., Vaishnavi, Taniya Maiti, D. Anusha, Sandyarani Vadlamudi, and Chetana Tukkoji. "OpenCv Based Enhanced Criminal Identification Mechanism." In 2024 International Conference on Signal Processing and Advance Research in Computing (SPARC). IEEE, 2024. https://doi.org/10.1109/sparc61891.2024.10828801.

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Liu, Hao, Qihao Huang, Honglin Liu, and Tingting Lang. "ED Strip Quality Detection Based on OpenCV." In 2024 22nd International Conference on Optical Communications and Networks (ICOCN). IEEE, 2024. http://dx.doi.org/10.1109/icocn63276.2024.10647233.

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Afandi, Muzakki, Tiara Kusuma Dewi, Sinta Widianingrum, et al. "Warehouse Drone Inventory Management System Using OpenCV." In 2024 International Seminar on Intelligent Technology and Its Applications (ISITIA). IEEE, 2024. http://dx.doi.org/10.1109/isitia63062.2024.10667792.

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Raajyavardhini, A., Gowthaman T, Krishnamoorthy R, Dhanush S, and Harish S. "Hue Spectrum visualizer using python with OpenCV." In 2024 International Conference on IoT, Communication and Automation Technology (ICICAT). IEEE, 2024. https://doi.org/10.1109/icicat62666.2024.10923159.

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J, Brikila, I. V. S. Praneeth Varma, and Abhilakshay Anand. "Bone Fracture Detection using YOLOv8 and OpenCV." In 2024 International Conference on Emerging Research in Computational Science (ICERCS). IEEE, 2024. https://doi.org/10.1109/icercs63125.2024.10895558.

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Fu, Maoyuan, Xiaoyang Li, Jianhui Shi, Yuanmei Song, Ruquan Liang, and Dengbo Zhang. "Logistics Robot Grasping Method Based on OpenCV." In 2024 2nd International Conference on Artificial Intelligence and Automation Control (AIAC). IEEE, 2024. https://doi.org/10.1109/aiac63745.2024.10899549.

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Karthiga, R., J. Alton Samuel, and M. Donald. "Weapons Detection using OpenCV and Django Framework." In 2025 International Conference on Computing and Communication Technologies (ICCCT). IEEE, 2025. https://doi.org/10.1109/iccct63501.2025.11020171.

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Junze, Lv, Luo Yunzhi, and Hong Zhiwei. "Detecting Drowsiness Based on Opencv and Openmv." In 2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT). IEEE, 2024. http://dx.doi.org/10.1109/iccect60629.2024.10545753.

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Reports on the topic "Opencv"

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He, Jim, Andrew Spencer, and Eric Chu. OpenCV and TYZX : video surveillance for tracking. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/942060.

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Heger, Karl. iqa - image quality analysis. GEOMAR, 2025. https://doi.org/10.3289/sw_1_2025.

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Short description of the research software : A C++ library to analyze image quality. Detect e.g. if an image is over-/underexposed, blurry or contains little information. iqa is based on OpenVC and can utilize your GPU for a great performance boost. To do so you only need OpenCV built with Cuda support. Everything else is handled by iqa - no need for your code to change.
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Bernal Herrero, Manuel Alonso, and JUAN SUARDÍAZ MURO. Uso de OpenCV para el Trazado de un Mapa Unifilar Corporal y Detección Temprana de Escoliosis. Fundación Avanza, 2025. https://doi.org/10.60096/fundacionavanza/14952025.

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Manuel Alonso Bernal Herrero Universidad Politécnica de Cartagena Doble Grado en Ingeniería Electrónica y Biomédica. En mi trabajo "Uso de OpenCV para el Trazado de un Mapa Unifilar Corporal y Detección Temprana de Escoliosis", desarroll
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Тарасова, Олена Юріївна, and Ірина Сергіївна Мінтій. Web application for facial wrinkle recognition. Кривий Ріг, КДПУ, 2022. http://dx.doi.org/10.31812/123456789/7012.

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Facial recognition technology is named one of the main trends of recent years. It’s wide range of applications, such as access control, biometrics, video surveillance and many other interactive humanmachine systems. Facial landmarks can be described as key characteristics of the human face. Commonly found landmarks are, for example, eyes, nose or mouth corners. Analyzing these key points is useful for a variety of computer vision use cases, including biometrics, face tracking, or emotion detection. Different methods produce different facial landmarks. Some methods use only basic facial landmar
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Scott, III, and John M. Open Component Portability Infrastructure (OPENCPI). Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada510918.

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Kulp, James, Shepard Siegel, and John Miller. Open Component Portability Infrastructure (OPENCPI). Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada580701.

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Jin, Zheming, Kazutomo Yoshii, Hal Finkel, and Franck Cappello. Evaluation of the OpenCL AES Kernel using the Intel FPGA SDK for OpenCL. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1357909.

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Tam, Wai Cheong, and Walter W. Yuen. OpenSC :. National Institute of Standards and Technology, 2019. http://dx.doi.org/10.6028/nist.tn.2064.

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Zhao, Y., X. Shen, and C. Liao. OpenK: An Open Infrastructure for the Accumulation, Sharing and Reuse of High Performance Computing Knowledge. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1617288.

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Smith, Braden, Randolph Brost, and Benjamin Bean. OpenCSP Camera Calibration. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2463025.

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