Abstract:
Today's television and production companies increasingly use modern technology to create and broadcast their content more efficiently and economically. This includes the use of VR (virtual reality) and AR (augmented reality), which have become one of the inevitable elements in production. In addition to enabling savings in equipping studios, these technologies also provide the possibility of maximum use of space, which enables an additional form of saving funds, especially in situations where more studios are needed. In television houses, Virtual Reality and Augmented Reality are often combined with production robotics, which is increasingly present, both in television and in production houses. Robots have become an indispensable part of production, providing a faster, more accurate, and economical solution for various tasks, from setting up the scenography to controlling the cameras themselves. This combination of modern technology and robotics allows television and production companies to improve their productivity and creativity, providing viewers with interesting and modern projects. In addition, this combination of modern technologies enables the creation of high-quality content with reduced operating costs. This paper describes the camera lens calibration process, with an explanation of the individual parts of the process to help you better understand the calibration process itself and avoid potential calibration problems
CITATION:
IEEE format
N. Jović, M. Živković, N. Bačanin Džakula, A. Petrović, L. Jovanović, “Application of Virtual Reality With Production Robotics,” in Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2024, pp. 419-424. doi:10.15308/Sinteza-2024-419-424
APA format
Jović, N., Živković, M., Bačanin Džakula, N., Petrović, A., Jovanović, L. (2024). Application of Virtual Reality With Production Robotics. Paper presented at Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2024-419-424