Zobrazeno 1 - 9
of 9
pro vyhledávání: '"N. L. Shchegoleva"'
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 14, Iss 3, Pp 88-95 (2014)
The paper provides analysis of existing approaches to the generating of barcodes and description of the system structure for generating of barcodes from facial images. The method for generating of standard type linear barcodes from facial images is p
Externí odkaz:
https://doaj.org/article/907d3d4154c042e38362d7b9349db4e5
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 14, Iss 2, Pp 99-106 (2014)
In the paper a method of generating of standard type linear barcodes from facial images is proposed. The method is based on use of the histogram of facial image brightness, averaging the histogram on a limited number of intervals, quantization of res
Externí odkaz:
https://doaj.org/article/fee45ae235e44bc3912ebff4008a0428
Autor:
Georgy Kukharev, N. L. Shchegoleva
Publikováno v:
Компьютерная оптика, Vol 42, Iss 4, Pp 637-656 (2018)
The history of development of algorithms for projection of digital images into their eigensubspaces using linear methods based on PCA (principal component analysis), LDA (linear discriminant analysis), PLS (partial least squares), and CCA (canonical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab63a688f0e096b26046714252ed95c3
http://computeroptics.smr.ru/KO/PDF/KO42-4/420413.pdf
http://computeroptics.smr.ru/KO/PDF/KO42-4/420413.pdf
Autor:
Georgy Kukharev, N. L. Shchegoleva
Publikováno v:
Pattern Recognition and Image Analysis. 28:185-206
Algorithms for projection of digital images into their eigensubspaces in the framework of linear methods PCA, LDA, PLS and CCA are considered. The history of these methods development of over the past 100 years is given against the backdrop of the em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ceacf62bcc886957ce193b2b57b7ab29
https://doi.org/10.1134/s1054661818020116
https://doi.org/10.1134/s1054661818020116
Publikováno v:
Journal of Physics: Conference Series. 2086:012077
3D scanning is widely used in multiple applications to obtain high precision / non-destructive documentation of real-life objects, which is especially important in Cultural Heritage (CH) preservation. However, some issues (in particular missing parts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba1777eaa86dbac365119ee9a0c2b06b
https://doi.org/10.1088/1742-6596/2086/1/012077
https://doi.org/10.1088/1742-6596/2086/1/012077
Publikováno v:
Pattern Recognition and Image Analysis. 26:165-175
The problem of face photo retrieval using sketches constructed based on a description provided by a witness is discussed. The status of this problem from primary concepts and the used terminology, to modern technologies for constructing sketches, rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20bdf15b0ca87e07be5a9b1d4dc38613
https://doi.org/10.1134/s1054661816010144
https://doi.org/10.1134/s1054661816010144
Publikováno v:
Pattern Recognition and Image Analysis. 24:518-529
This paper discusses the methods of presentation and comparison of semantically unrelated images with an assessment of their similarity in original feature space, and in the Space of Canonical Variables (SCV). The projection of source images in SCV i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef179dfc7656d5e54d9b3f91d3d576b0
https://doi.org/10.1134/s1054661814040105
https://doi.org/10.1134/s1054661814040105
Publikováno v:
Pattern Recognition and Image Analysis. 24:102-113
Article presents the state of the art problem of comparing photo portrait and the corresponding hand-drawn portrait (sketch). Proposed novel methods of automatic sketch generation. The result of the application of this methods on two popular face dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a61df62112f047510e7c5d0ec573f059
https://doi.org/10.1134/s1054661814010076
https://doi.org/10.1134/s1054661814010076
Autor:
Georgy Kukharev, N. L. Shchegoleva
Publikováno v:
Pattern Recognition and Image Analysis. 20:513-527
A two-dimensional principal component analysis (2D PCA) method directed at processing digital images is discussed. The method is based on representation of images as a set of rows and columns analyzing these sets. Two methods of realizing the 2D PCA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7800d5a8cfb88c2f5e1d43474635d214
https://doi.org/10.1134/s1054661810040127
https://doi.org/10.1134/s1054661810040127