Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Dmytro S. Sharapov"'
Publikováno v:
2019 Signal Processing Symposium (SPSympo).
3D mapping techniques have a large variety of applications from entertainment to military and medical fields. However, there is a big challenge of obtaining well refined 3D model from a set of images without usage of depth sensors. In the paper, we a
Publikováno v:
2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).
In the paper, two examples of embedded vision m odules are described. Firstly, it is demonstrated how fiducial marker tracking algorithm can be adopted for operation on Raspberry Pi. Usage of proposed ideas allows to achieve around 60fps speed of bin
Autor:
Dmytro S. Sharapov, Ievgen M. Gorovyi
Publikováno v:
2017 Signal Processing Symposium (SPSympo).
Augmented reality is popular and rapidly growing direction. It is successfully used in medicine, education, engineering and entertainment. In the paper, basic principles of typical augmented reality system are described. An efficient hybrid visual tr
Autor:
Dmytro S. Sharapov, Ievgen M. Gorovyi
Publikováno v:
2017 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS).
Nowadays automatic methods based on artificial intelligence are rapidly growing. In the paper, a problem of automatic target recognition in synthetic aperture radar images is described. It is demonstrated, that two different machine learning instrume
Autor:
Ievgen M. Gorovyi, Dmytro S. Sharapov
Publikováno v:
2017 18th International Radar Symposium (IRS).
SAR is a very popular instrument for imaging of the ground surface. Possibility of high-resolution image formation makes it superior tool for various information extraction tasks. In the paper, a problem of automatic target recognition is comprehensi
Autor:
Ievgen M. Gorovyi, Dmytro S. Sharapov
Publikováno v:
2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON).
Synthetic aperture radar (SAR) is a powerful tool for remote sensing of the Earth surface. In the paper, several applications of pattern detection and recognition algorithms for extraction of information from SAR images are discussed. In particular,
Autor:
Ievgen M. Gorovyi, Dmytro S. Sharapov
Publikováno v:
2016 IEEE International Conference on Mathematical Methods in Electromagnetic Theory (MMET).
The idea for automatic extraction of the moving target parameters using single-antenna synthetic aperture radar is proposed. The displacements of the target are estimated from the sequence of the single-look SAR images using the Lucas-Kanade optical
Publikováno v:
2016 17th International Radar Symposium (IRS).
Synthetic aperture radar is a very popular and widely used instrument for various remote sensing tasks. In the paper, we propose several novel ideas for improvement of the efficiency of the modern SAR systems. At first, the problem of the automatic i
Autor:
Dmytro S. Sharapov, Ievgen M. Gorovyi
Publikováno v:
2015 International Young Scientists Forum on Applied Physics (YSF).
Synthetic aperture radar is a popular instrument for high-resolution imaging. Usage of state-of-the-art image and signal processing solutions allows to significantly increase the efficiency of such systems. In the paper two important applications of