Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Javier Lamar León"'
Publikováno v:
Revista Cubana de Ciencias Informáticas, Vol 12, Iss 4, Pp 29-40 (2018)
In the present work, an algorithm for ngerprints verication based on an application of the algebraic topology is presented. Specically, we propose a representation of impressions as simplicial complexes and the denition of local structures based on
Externí odkaz:
https://doaj.org/article/6f3fee2cdc824c6a8366fd638bca695a
Publikováno v:
Revista Cubana de Ciencias Informáticas, Vol 12, Iss 3, Pp 17-31 (2018)
Gait recognition is an important biometric technique for video surveillance tasks, due to the advantage of using it at distance. In this paper, we present a persistent homology-based method to extract topological features from the body silhouettes of
Externí odkaz:
https://doaj.org/article/0ba210108afd46ae804c82976c2116cf
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642418266
CIARP (2)
CIARP 2013-18th Iberoamerican Congress on Pattern Recognition, pp. 366–373, Havana (Cuba), November 20th-23th, 2013
info:cnr-pdr/source/autori:J. Lamar-León, A. Cerri, E. B. García Reyes, and R. González-Díaz/congresso_nome:CIARP 2013-18th Iberoamerican Congress on Pattern Recognition/congresso_luogo:Havana (Cuba)/congresso_data:November 20th-23th, 2013/anno:2013/pagina_da:366/pagina_a:373/intervallo_pagine:366–373
instname
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642418266
CIARP (2)
CIARP 2013-18th Iberoamerican Congress on Pattern Recognition, pp. 366–373, Havana (Cuba), November 20th-23th, 2013
info:cnr-pdr/source/autori:J. Lamar-León, A. Cerri, E. B. García Reyes, and R. González-Díaz/congresso_nome:CIARP 2013-18th Iberoamerican Congress on Pattern Recognition/congresso_luogo:Havana (Cuba)/congresso_data:November 20th-23th, 2013/anno:2013/pagina_da:366/pagina_a:373/intervallo_pagine:366–373
In this paper, a topological approach for gait-based gender recognition is presented. First, a stack of human silhouettes, extracted by background subtraction and thresholding, were glued through their gravity centers, forming a 3D digital image I. S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a7abeb5a00f8daba568962802ebf816
https://idus.us.es/handle/11441/30917
https://idus.us.es/handle/11441/30917