Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Dmitry P. Nikolaev"'
Autor:
Dmitry P. Nikolaev, Alexander Sheshkus
Publikováno v:
ICMV
In this paper, we study the recently introduced neural network architecture HoughNet for the ability to accumulate transferable high-level features. The main idea of that neural network is to use convolutional layers separated with Fast Hough Transfo
Publikováno v:
ICMV
The paper considers the problem of 2D art identification in photos acquired with mobile devices under the conditions of museum exhibition. The proposed approach is based on a compact description of an image with a constellation of keypoints and corre
Autor:
D. A. Zolotov, Victor E. Asadchikov, Alexey Buzmakov, Marina Chukalina, Ivan Yakimchuk, Anastasia Ingacheva, Andrey Gladkov, Dmitry P. Nikolaev
Publikováno v:
ICMV
Digital X-ray imaging became widely used in science, medicine, non-destructive testing. This allows using modern digital images analysis for automatic information extraction and interpretation. We give short review of scientific applications of machi
Publikováno v:
ICMV
In this paper we describe stitching protocol, which allows to obtain high resolution images of long length monochromatic objects with periodic structure. This protocol can be used for long length documents or human-induced objects in satellite images
Publikováno v:
ICMV
The paper examines the problem of word boundaries precise localization in document text zones. Document processing on a mobile device consists of document localization, perspective correction, localization of individual fields, finding words in separ
Publikováno v:
ICMV
An iterative algorithm is proposed for blind multi-image deblurring of binary images. The binarity is the only prior restriction imposed on the image. Image formation model assumes convolution with arbitrary kernel and addition of a constant value. P
Publikováno v:
ICMV
This paper proposes a method for automatic center location of objects containing concentric arcs. The method utilizes structure tensor analysis and voting scheme optimized with Fast Hough Transform. Two applications of the proposed method are conside
Publikováno v:
EMBC
Algebraic Reconstruction Technique (ART) is a widely employed method in computed tomography since it has certain advantages, such as allowing reconstruction of data with missing projections in some angle ranges, over other techniques such as Filtered