Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Oksana Samko"'
Publikováno v:
Pattern Recognition Letters. 27:968-979
The isometric feature mapping (Isomap) method has demonstrated promising results in finding low-dimensional manifolds from data points in high-dimensional input space. Isomap has one free parameter (number of nearest neighbours K or neighbourhood rad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e2ccb72b937bb7163ff90c1ba7b9629
https://doi.org/10.1016/j.patrec.2005.11.017
https://doi.org/10.1016/j.patrec.2005.11.017
The objective of our work is to enable the reading of fragile scrolled historical parchments without the need to physically unravel them, thus providing valuable information to a wide range of scholarly disciplines. This problem has not been investig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::023fb4d007292abfdc7cd17f2f0513cb
Publikováno v:
SPIE Proceedings.
Stored in various public archives and private collections around the world, there are untold numbers of documents whose content is lost to memory and history. They cannot be read by normal means, because the parchment and paper they are written on ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4399667c761a646009354a73a9cd57a8
https://doi.org/10.1117/12.928917
https://doi.org/10.1117/12.928917
Publikováno v:
BMVC
In this paper we introduce a framework for the segmentation of scanned scrolled parchments, based on a novel graph cut based approach with an additional shape prior, in combination with anisotropic diffusion and geometry-constrained postprocessing. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6db709f89de2943617cad22c5c89c2fa
https://doi.org/10.5244/c.25.37
https://doi.org/10.5244/c.25.37
Publikováno v:
Computer Vision/Computer Graphics Collaboration Techniques ISBN: 9783540714569
MIRAGE
MIRAGE
In this paper, we address the problem of automating the partial representation from real world data with an unknown a priori structure. Such representation could be very useful for the further construction of an automatic hierarchical data model. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cdab5e57d13e948d33570b9f9386352
https://doi.org/10.1007/978-3-540-71457-6_21
https://doi.org/10.1007/978-3-540-71457-6_21