Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Yu. V. Vizilter"'
Autor:
V. S. Gorbatsevich, Yu. V. Vizilter
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B3, Pp 859-862 (2016)
In this paper, we propose an original method for objects detection based on a special tree-structured image representation – the trees of morphlets. The method provides robust detection of various types of objects in an image without employing a ma
Externí odkaz:
https://doaj.org/article/060d8eadf24942ea8fcab390c87f6a41
Autor:
M. A. Lebedev, D. G. Stepaniants, D. V. Komarov, O. V. Vygolov, Yu. V. Vizilter, S. Yu. Zheltov
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-3, Pp 171-175 (2014)
The paper addresses a promising visualization concept related to combination of sensor and synthetic images in order to enhance situation awareness of a pilot during an aircraft landing. A real-time algorithm for a fusion of a sensor image, acquired
Externí odkaz:
https://doaj.org/article/48b9943a60b24f508765a8332069c2f7
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-3, Pp 357-364 (2014)
2D image matching problem is often stated as an image-to-shape or shape-to-shape matching problem. Such shape-based matching techniques should provide the matching of scene image fragments registered in various lighting, weather and season conditions
Externí odkaz:
https://doaj.org/article/22f047307729472788a5e6585bf4f2cf
Publikováno v:
Vestnik komp'iuternykh i informatsionnykh tekhnologii. :3-14
In this paper, developing the early proposed unified approach to the representation of morphological models, we show that since morphological models in the attribute representation have the same mathematical form as images, the morphological models t
Publikováno v:
Vestnik komp'iuternykh i informatsionnykh tekhnologii. :19-28
A unified scheme for morphological analysis based on attribute and relational representations of mosaic image models is proposed. We consider 4 main types of model representation: functional-attribute (2D feature map), functional-relational (4D relat
Publikováno v:
Vestnik komp'iuternykh i informatsionnykh tekhnologii. :11-20
The paper proposes an architecture and training method of a deep convolutional neural network for simultaneous face detection and recognition. The implemented approach combines the ideas of SSD (Single Shot Detector) and Faster R-CNN (Region proposal
Publikováno v:
Vestnik komp'iuternykh i informatsionnykh tekhnologii. :3-12
In this paper we propose and consider different metric approaches to image comparison based on Morpho-Semantic (MS) and Semantic-Morphological (SM) models. The first proposed class-based approach presumes the embedding of MS and SM models to the metr
Publikováno v:
Компьютерная оптика, Vol 43, Iss 5, Pp 886-900 (2019)
A general approach to a structure-functional analysis and synthesis (SFAS) of deep neural networks (CNN). The new approach allows to define regularly: from which structure-functional elements (SFE) CNNs can be constructed; what are required mathemati
Publikováno v:
Компьютерная оптика, Vol 45, Iss 5, Pp 756-766 (2021)
We introduce attribute and relational representations of mosaic image models with directed relationships between regions. Attribute representations of asymmetric relational models based on stacking, ranking and integral descriptions are considered. W
Publikováno v:
Journal of Computer and Systems Sciences International. 58:441-453
A method for fusing images of different spectra by using generative adversarial networks is proposed. An original architecture of a FusionNet neural network is developed based on pix2pix. It enables the synthesis of a complex (integrated) image that