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Journal articles on the topic 'Computer vision'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Deshmukh, Omkar Madhukar. "Computer Vision." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1237–39. http://dx.doi.org/10.22214/ijraset.2021.35926.

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Computer vision may be a field of computer science that trains computers to interpret and perceive the visual world. exploitation digital pictures from cameras and videos and deep learning models, machines will accurately determine and classify objects — and so react to what they "see.”. Computer vision is Associate in Nursing knowledge domain scientific field that deals with however computers will gain high-level understanding from digital pictures or videos. From the angle of engineering, it seeks to grasp and alter tasks that the human sensory system will do. Computer vision tasks embrace s

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Pandey, Mrs Arjoo. "Computer Vision." International Journal for Research in Applied Science and Engineering Technology 11, no. 7 (2023): 510–14. http://dx.doi.org/10.22214/ijraset.2023.54701.

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Abstract: Computer vision is a field of artificial intelligence that focuses on enabling computers to understand and interpret visual information from images or videos. It involves developing algorithms and techniques to extract meaningful insights, patterns, and knowledge from visual data, mimicking human visual perception capabilities. The abstract of computer vision encompasses a range of fundamental tasks and objectives, including: Image Classification: Classifying images into predefined categories or classes, such as distinguishing between different objects, animals, or scenes. Object Det

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Randolph, Susan A. "Computer Vision Syndrome." Workplace Health & Safety 65, no. 7 (2017): 328. http://dx.doi.org/10.1177/2165079917712727.

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With the increased use of electronic devices with visual displays, computer vision syndrome is becoming a major public health issue. Improving the visual status of workers using computers results in greater productivity in the workplace and improved visual comfort.

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S, Anusha, Nayana Shree A, Nithin R, Pavan Prabhu N, and Rahul D M. "Computer Vision Based Workout Application." International Journal of Research Publication and Reviews 4, no. 4 (2023): 4088–91. http://dx.doi.org/10.55248/gengpi.4.423.37565.

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Senarathne, Randitha, and Rusitha Thennakoon. "Fabric Inspection Using Computer Vision." International Journal of Media and Networks 3, no. 1 (2025): 01–07. https://doi.org/10.33140/ijmn.03.01.02.

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The textile industry is one of the basic parts of global manufacturing and is about to undergo a significant metamorphosis with the rise in technologies of artificial intelligence and computer vision. Traditionally, fabric inspection has been labor-intensive, requiring a lot of time and highly critical eyes for spotting defects, making it a process often blemished by human error. The advent of AI-enabled technology is allowing textile producers to implement automated inspection systems that enhance efficiency and raise quality benchmarks. This shift not only increases productivity but also gua

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Kaushik, C. S. S. Krishna, Prathit Panda, P. S. S. Asrith, M. Patrick Rozario, and Prof Ayain John. "Computer Vision Integrated Website." International Journal of Innovative Technology and Exploring Engineering 13, no. 2 (2024): 20–25. http://dx.doi.org/10.35940/ijitee.b9783.13020124.

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Computer vision is an integral part of artificial intelligence that empowers machines to perceive the world similar to human vision. Despite its extensive evolution, widespread awareness of its potential remains limited. The goal of the "Computer Vision Integrated Website" paper is to enhance awareness and exhibit the capabilities of computer vision. By creating an accessible platform featuring various computer vision models, authors aim to captivate audiences and drive growth in the field. The paper seeks to illustrate how computers interpret visual information by integrating user-friendly co

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Prof., Ayain John. "Computer Vision Integrated Website." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 13, no. 2 (2024): 20–25. https://doi.org/10.35940/ijitee.B9783.13020124.

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<strong>Abstract: </strong>Computer vision is an integral part of artificial intelligence that empowers machines to perceive the world similar to human vision. Despite its extensive evolution, widespread awareness of its potential remains limited. The goal of the "Computer Vision Integrated Website" paper is to enhance awareness and exhibit the capabilities of computer vision. By creating an accessible platform featuring various computer vision models, authors aim to captivate audiences and drive growth in the field. The paper seeks to illustrate how computers interpret visual information by i

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MATSUYAMA, TAKASHI. "Computer Vision." Journal of the Institute of Electrical Engineers of Japan 116, no. 5 (1996): 263–66. http://dx.doi.org/10.1541/ieejjournal.116.263.

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Aloimonos, Y., and A. Rosenfeld. "Computer vision." Science 253, no. 5025 (1991): 1249–54. http://dx.doi.org/10.1126/science.1891713.

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Marchant, J. A., and F. E. Sistler. "Computer vision." Computers and Electronics in Agriculture 9, no. 1 (1993): vii—viii. http://dx.doi.org/10.1016/0168-1699(93)90024-u.

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11

Mamrega, V. V. "COMPUTER VISION." SYNCHROINFO JOURNAL 8, no. 5 (2022): 7–11. http://dx.doi.org/10.36724/2664-066x-2022-8-5-7-11.

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This article explores the subject of computer vision systems – a technology that allows vehicles to identify, track, and also classify objects on the roadway. The objectives of the study are to consider the principle of operation of these automated systems, their advantages in comparison with modern road regulation, as well as the problems of implementation and development of these systems. The research was carried out on the basis of the analysis of information from open information resources. The statistics of accidents at work are presented, the high rates of which are due to large volumes

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Bouma, Herman. "Human Vision and Computer Vision." Contemporary Psychology: A Journal of Reviews 30, no. 1 (1985): 47. http://dx.doi.org/10.1037/023481.

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13

Nemov, A. S., and N. Yu Vyatkina. "Computer vision syndrome." Glavvrač (Chief Medical Officer), no. 6 (June 27, 2023): 56–60. http://dx.doi.org/10.33920/med-03-2306-05.

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Technological advances in computing and Internet access enable workers to process more information and be more productive. It also means that workers are spending more time on electronic devices with visual displays such as computers, laptops, smartphones, tablets, e-readers, and even watches that contribute to eye strain. The same applies to children, as they spend many hours each day using electronic devices with digital displays to complete school assignments, play video games, and communicate in the Internet [4]. With the increasing use of these electronic devices, computer vision syndrome

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Matsuzaka, Yasunari, and Ryu Yashiro. "AI-Based Computer Vision Techniques and Expert Systems." AI 4, no. 1 (2023): 289–302. http://dx.doi.org/10.3390/ai4010013.

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Computer vision is a branch of computer science that studies how computers can ‘see’. It is a field that provides significant value for advancements in academia and artificial intelligence by processing images captured with a camera. In other words, the purpose of computer vision is to impart computers with the functions of human eyes and realise ‘vision’ among computers. Deep learning is a method of realising computer vision using image recognition and object detection technologies. Since its emergence, computer vision has evolved rapidly with the development of deep learning and has signific

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Sharma, Sakshi, and Mahendra Kumar Sharma. "Ergonomics Principles for Computer Vision Syndrome." International Journal of Science and Research (IJSR) 11, no. 12 (2022): 265–67. http://dx.doi.org/10.21275/sr221205221120.

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Dhamodaran, Sasikala, Pratyush Pranjal Phukan, Mayank Singh, and Shijin Nandakumar. "Review on Computer Vision Using OpenCV." International Journal of Research Publication and Reviews 5, no. 5 (2024): 8608–21. http://dx.doi.org/10.55248/gengpi.5.0524.1345.

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Freeman, William T., Paul A. Beardsley, Hiroshi Kage, Ken-Ichi Tanaka, Kazuo Kyuma, and Craig D. Weissman. "Computer vision for computer interaction." ACM SIGGRAPH Computer Graphics 33, no. 4 (1999): 65–68. http://dx.doi.org/10.1145/345370.345417.

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Hayes, Brian. "Computer Vision and Computer Hallucinations." American Scientist 103, no. 6 (2015): 380. http://dx.doi.org/10.1511/2015.117.380.

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Ohta, Yuichi. "3D Image Media and Computer Vision -From CV as Robot Technology to CV as Media Technology-." Journal of Robotics and Mechatronics 9, no. 2 (1997): 92–97. http://dx.doi.org/10.20965/jrm.1997.p0092.

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The possibility to apply the computer vision technology to the development of a new image medium is discussed. Computer vision has been studied as a sensor technology between the real world and computers. On the other hand, the computer graphics are the interface technology between the computers and human beings. The invention of ""3D photography"" based on the computer vision technology will realize a new 3D image medium which connects the real world and the human beings via computer. In such a framework, computer vision should be studied as a media technology rather than a robot technology.

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Che, Chang, Haotian Zheng, Zengyi Huang, Wei Jiang, and Bo Liu. "Intelligent robotic control system based on computer vision technology." Applied and Computational Engineering 64, no. 1 (2024): 150–55. http://dx.doi.org/10.54254/2755-2721/64/20241373.

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Computer vision is a kind of simulation of biological vision using computers and related equipment. It is an important part of the field of artificial intelligence. Its research goal is to make computers have the ability to recognize three-dimensional environmental information through two-dimensional images. Computer vision is based on image processing technology, signal processing technology, probability statistical analysis, computational geometry, neural network, machine learning theory and computer information processing technology, through computer analysis and processing of visual inform

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Vodyanitskyi, V., and V. Yuskovych-Zhukovska. "ADAPTIVE VISION AI." Automation of technological and business processes 16, no. 4 (2024): 73–81. https://doi.org/10.15673/atbp.v16i4.3013.

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Abstract. As of today, computer vision systems are continuously developing and systematically improving. Machines see visual content in the form of numbers, in which each pixel represents its own piece of information. Computer vision, as a component of artificial intelligence, allows machines to see, observe and understand everything. It enables computer systems to obtain useful information from digital images, video, visual data and perform programmed actions. Computer vision technologies rely on pattern recognition, machine learning, and neural networks to allow computers to break down image

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Bunin, Y. V., E. V. Vakulik, R. N. Mikhaylusov, V. V. Negoduyko, K. S. Smelyakov, and O. V. Yasinsky. "Estimation of lung standing size with the application of computer vision algorithms." Experimental and Clinical Medicine 89, no. 4 (2020): 87–94. http://dx.doi.org/10.35339/ekm.2020.89.04.13.

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Evaluation of spiral computed tomography data is important to improve the diagnosis of gunshot wounds and the development of further surgical tactics. The aim of the work is to improve the results of the diagnosis of foreign bodies in the lungs by using computer vision algorithms. Image gradation correction, interval segmentation, threshold segmentation, three-dimensional wave method, principal components method are used as a computer vision device. The use of computer vision algorithm allows to clearly determine the size of the foreign body of the lung with an error of 6.8 to 7.2%, which is i

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Amalia, Husnun. "Computer vision syndrome." Jurnal Biomedika dan Kesehatan 1, no. 2 (2018): 117–18. http://dx.doi.org/10.18051/jbiomedkes.2018.v1.117-118.

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Computer Vision Syndrome (CVS) adalah keluhan gangguan penglihatan yang disebabkan oleh penggunaan komputer. Keluhan ini berhubungan dengan penggunaan Visual Display Terminal (VDT). Pada kehidupan modern, VDT adalah alat yang telah menjadi sebuah kebutuhan dalam kehidupan sehari-hari dan alat-alat ini harus selalu tersedia sebagai sarana di intitusi pendidikan, perkantoran dan di rumah. Alat yang termasuk VDT adalah monitor komputer, telepon genggam, tablet, laptop, handheld konsol dan lain-lain. Saat ini komputer sangat membantu aktivitas manusia namun monitor komputer mengeuarkan radiasi dan

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Arif, Khan Mohammad, and Md Jahangir Alam. "Computer Vision Syndrome." Faridpur Medical College Journal 10, no. 1 (2016): 33–35. http://dx.doi.org/10.3329/fmcj.v10i1.27923.

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Computer Vision Syndrome (CVS) is a condition in which a person experience one or more of eye symptoms and/or headache and back pain as a result of prolonged working on a computer. Bankers, account section workers, professional computer workers, excessive near work by mobile, laptop or tab users are commonly affected. Headache, eye strain, dryness, burning, grittiness, heaviness or watering, stiff shoulders, low back pain and general fatigue are main symptoms. The duration of computer work is directly related to eye symptoms; and longer duration tends to result in long-lasting complaints even

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Fedorov, Yu V., and A. Yu Fedorova. "Computer vision therapy." Izvestiâ vysših učebnyh zavedenij. Priborostroenie 61, no. 3 (2018): 281–85. http://dx.doi.org/10.17586/0021-3454-2018-61-3-281-285.

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26

Sundar, Varun, and Mohit Gupta. "Quanta Computer Vision." XRDS: Crossroads, The ACM Magazine for Students 31, no. 2 (2024): 38–43. https://doi.org/10.1145/3703403.

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Light impinges on a camera's sensor as a collection of discrete quantized elements, or photons. An emerging class of devices, called single-photon sensors, offers the unique capability of detecting individual photons with high-timing precision. With the increasing accessibility of high-resolution single-photon sensors, we can now explore what computer vision would look like if we could operate on light, one photon at a time.

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Hassner, Tal, and Itzik Bayaz. "Teaching Computer Vision." ACM Transactions on Computing Education 14, no. 4 (2015): 1–17. http://dx.doi.org/10.1145/2597627.

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28

Brilakis, Ioannis, and Carl Haas. "Infrastructure computer vision." Advanced Engineering Informatics 29, no. 2 (2015): 147–48. http://dx.doi.org/10.1016/j.aei.2015.04.003.

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Schiele, Bernt, and Gerhard Sagerer. "Computer vision systems." Machine Vision and Applications 14, no. 1 (2003): 3–4. http://dx.doi.org/10.1007/s00138-002-0113-y.

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Wimalasundera, Saman. "Computer vision syndrome." Galle Medical Journal 11, no. 1 (2009): 25. http://dx.doi.org/10.4038/gmj.v11i1.1115.

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Grimson, W. E. L., and J. L. Mundy. "Computer vision applications." Communications of the ACM 37, no. 3 (1994): 44–51. http://dx.doi.org/10.1145/175247.175251.

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Syndrome, Computer Vision. "Computer Vision Syndrome." Nursing Journal of India C, no. 10 (2009): 236–37. http://dx.doi.org/10.48029/nji.2009.c1003.

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Jolion, J. M. "Computer Vision Methodologies." CVGIP: Image Understanding 59, no. 1 (1994): 53–71. http://dx.doi.org/10.1006/ciun.1994.1004.

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Jolion, J. "Computer Vision Methodologies." Computer Vision and Image Understanding 59, no. 1 (1994): 53–71. http://dx.doi.org/10.1006/cviu.1994.1004.

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Nuzuliawati, Utin Alvina, Joan Sherlone Hutabarat, and Antonia Kartika Indriati. "Computer Vision Syndrome." Oftalmologi: Jurnal Kesehatan Mata Indonesia 4, no. 3 (2022): 66–70. http://dx.doi.org/10.11594/ojkmi.v4i3.40.

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Kemajuan di bidang teknologi saat ini menyebabkan tingginya pengguna perangkat elektronik pada semua kelompok umur. Terdapat perbedaan kebutuhan visual ketika seseorang melihat tampilan dilayar perangkat elektronik dibandingkan dengan materi cetak. Mata harus bekerja lebih keras saat melihat tampilan di layar perangkat elektronik, sehingga penggunaan perangkat elektronik dalam waktu lama dapat menyebabkan sekelompok keluhan pada mata yaitu kelelahan mata, iritasi, kemerahan, kekeringan, penglihatan kabur dan ganda yang disebut juga dengan computer vision syndrome. Menghilangkan faktor penyebab

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Cazorla, Miguel, and Diego Viejo. "JavaVis: An integrated computer vision library for teaching computer vision." Computer Applications in Engineering Education 23, no. 2 (2013): 258–67. http://dx.doi.org/10.1002/cae.21594.

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Syarifah Rohaya and Hafizh Shidqi. "Pencegahan Computer Vision Syndrome." Jurnal Ilmiah Kedokteran dan Kesehatan 2, no. 3 (2023): 148–53. http://dx.doi.org/10.55606/klinik.v2i3.1919.

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Currently in the modern era, the development of science and technology is very rapid. More and more new technologies are emerging. Electronics make up a large part of everyday life at home, at work, and during leisure time. The use of desktops, laptops, computers, tablets, smart phones and reading from electronic devices has been used by everyone. While most of these uses of electronics can make life easier, there can also be negative effects. Long-term use can have an adverse effect on eye health known as computer vision syndrome.

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VIDUKA, Dejan, Ana BAŠIĆ, and Petra BALABAN. "COMPARATIVE ANALYSIS OF THE COMPUTER VISION SYNDROME BETWEEN THE DEVELOPED EU COUNTRIES AND REPUBLIC OF SERBIA." Journal of process management and new technologies 12, no. 3-4 (2024): 1–12. http://dx.doi.org/10.5937/jpmnt12-51016.

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It is hard to envisage any business activity nowadays without the use of computers. The users who in their work utilize computers or some other displays for viewing electronic contents are exposed to the computer vision syndrome effects. This paper defines the computer vision syndrome and explains occurrences of the syndrome, setting out also its consequences. Analysis has been made of the viewpoints of users from the developed EU countries regarding the computer vision syndrome. Comparison has been made of the obtained data with the data showing viewpoints of the users in the Republic of Serb

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Pulla, Anupama, Asma ., Nanduri Samyuktha, et al. "A cross sectional study to assess the prevalence and associated factors of computer vision syndrome among engineering students of Hyderabad, Telangana." International Journal Of Community Medicine And Public Health 6, no. 1 (2018): 308. http://dx.doi.org/10.18203/2394-6040.ijcmph20185264.

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Background: Computer vision syndrome is a complex of eye and vision problems related to near work which are experienced due to prolonged computer use. Computers demand near work, for longer duration which increases discomfort of eye and prolonged exposure to the discomfort leads to a cascade of symptoms that can be referred as computer vision syndrome. The aims and objectives of the study were to determine the prevalence of computer vision syndrome among engineering students of Hyderabad, Telangana and to determine the factors related to computer vision syndrome among study population.Methods:

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Shao, Xinyu. "Review of computer vision in sports." Applied and Computational Engineering 5, no. 1 (2023): 28–33. http://dx.doi.org/10.54254/2755-2721/5/20230519.

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All industries employ machine learning extensively, and one of the most promising fields is computer vision. Computer vision is a simulation of the human visual system that uses cameras and computers to take the role of the human eye to find the target, follow it, and gather data from it so that a decision may be made on whether to take further action or provide recommendations. The various uses of computer vision in sports are covered in this paper. Currently, computer vision is mostly utilized for broadcast enhancement, tracking and detection of players and balls. Although the games graphics

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Rakhimov, Bakhtiyar Saidovich, Feroza Bakhtiyarovna Rakhimova, Sabokhat Kabulovna Sobirova, Furkat Odilbekovich Kuryazov, and Dilnoza Boltabaevna Abdirimova. "Review And Analysis Of Computer Vision Algorithms." American Journal of Applied sciences 03, no. 05 (2021): 245–50. http://dx.doi.org/10.37547/tajas/volume03issue05-39.

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Computer vision as a scientific discipline refers to the theories and technologies for creating artificial systems that receive information from an image. Despite the fact that this discipline is quite young, its results have penetrated almost all areas of life. Computer vision is closely related to other practical fields like image processing, the input of which is two-dimensional images obtained from a camera or artificially created. This form of image transformation is aimed at noise suppression, filtering, color correction and image analysis, which allows you to directly obtain specific in

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G, Sankari, Pushpalatha G, Senbagam V, Karthika M, and Anbuselvan N. "Search Engine Optimization in Advanced Computer Vision." SIJ Transactions on Computer Networks & Communication Engineering 07, no. 01 (2019): 06–09. http://dx.doi.org/10.9756/sijcnce/v7i1/05020080102.

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M, Dhinakaran, Sivaranjani S, Sangeetha K, Thulasi A, and Vinodhini R. "Advanced Computer Vision based Virtual Dressing Room." SIJ Transactions on Computer Science Engineering & its Applications (CSEA) 05, no. 04 (2017): 01–03. http://dx.doi.org/10.9756/sijcsea/v5i4/05010170101.

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Sreerambatla, Saandeep. "Streamlining Artwork Production with Computer Vision Technology." International Journal of Science and Research (IJSR) 10, no. 2 (2021): 1757–61. http://dx.doi.org/10.21275/sr24615152128.

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Raiturcar, Tanvi Poy. "Knowledge, Attitudes and Practices of Computer Vision Syndrome among Medical Students in Goa." Epidemiology International 06, no. 01 (2021): 9–14. http://dx.doi.org/10.24321/2455.7048.202102.

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Introduction: There has been a tremendous increase in the use of computers and other screens by young adults in educational institutions for education, communication, and recreation. This can lead to computer vision syndrome. Computer vision syndrome includes a variety of symptoms faced by individuals who use computers for long hours every day. Most early symptoms are not recognized and the condition goes undiagnosed. Creating public awareness about the healthy use of computers is the need of the hour. Aim: To study knowledge, attitudes and practices of computer vision syndrome among medical s

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Raiturcar, Tanvi Poy. "Knowledge, Attitudes and Practices of Computer Vision Syndrome among Medical Students in Goa." Epidemiology International 06, no. 01 (2021): 9–14. http://dx.doi.org/10.24321/2455.7048.202102.

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Introduction: There has been a tremendous increase in the use of computers and other screens by young adults in educational institutions for education, communication, and recreation. This can lead to computer vision syndrome. Computer vision syndrome includes a variety of symptoms faced by individuals who use computers for long hours every day. Most early symptoms are not recognized and the condition goes undiagnosed. Creating public awareness about the healthy use of computers is the need of the hour. Aim: To study knowledge, attitudes and practices of computer vision syndrome among medical s

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Murthy, G. R. S., and R. S. Jadon. "Computer Vision Based Human Computer Interaction." Journal of Artificial Intelligence 4, no. 4 (2011): 245–56. http://dx.doi.org/10.3923/jai.2011.245.256.

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Maxwell, Bruce A. "Teaching Computer Vision to Computer Scientists." International Journal of Pattern Recognition and Artificial Intelligence 12, no. 08 (1998): 1035–51. http://dx.doi.org/10.1142/s0218001498000580.

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Computer vision is a broad-based field of computer science that requires students to understand and integrate knowledge from numerous disciplines. Computer science (CS) majors, however, do not necessarily have an interdisciplinary background. In the rush to integrate, we can forget, or fail to plan for the fact that our students may not possess a broad undergraduate education. To explore the appropriateness of our education materials, this paper begins with a discussion of what we can expect CS majors to know and how we can use that knowledge to make a computer vision course a more enriching e

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Freeman, W. T., D. B. Anderson, P. Beardsley, et al. "Computer vision for interactive computer graphics." IEEE Computer Graphics and Applications 18, no. 3 (1998): 42–53. http://dx.doi.org/10.1109/38.674971.

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Sitaula, Kanchan, Navaraj Kafle, Aashish Acharya, and Ved Prakash Mishra. "Prevalence and associated factors of computer vision syndrome among the computer engineering students of Pokhara University affiliated colleges of Kathmandu valley." International Journal Of Community Medicine And Public Health 7, no. 6 (2020): 2027. http://dx.doi.org/10.18203/2394-6040.ijcmph20202448.

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Background: The increasing use of computers and electronic devices is rapidly increasing the related health issues of computer vision syndrome. Studies have identified longer use of computers, ergonomic practices as lighting condition of room, incorrect distance between eye and computer, refresh rate, use of spectacles were associated with computer vision syndrome (CVS) symptoms as back pain, tension, headache and others. The objective of this study was to find out the prevalence of CVS among computer engineering students of Pokhara University affiliated colleges of Kathmandu Valley and identi

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