Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Omar Lopez-Rincon"'
Autor:
Omar Lopez-Rincon, Oleg Starostenko
Publikováno v:
IEEE Access, Vol 7, Pp 140344-140354 (2019)
Development of techniques for music visualization is important and still open problem in analysis and creation of the quantitative profiles of single or multiple compositions, which could be used as required constraints in music generation or music c
Externí odkaz:
https://doaj.org/article/ddbd9dd195974f54a388ebc5bc669529
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2017 (2017)
Quick Response QR barcode detection in nonarbitrary environment is still a challenging task despite many existing applications for finding 2D symbols. The main disadvantage of recent applications for QR code detection is a low performance for rotated
Externí odkaz:
https://doaj.org/article/605c1f0ec820447e868042024e1f376d
Publikováno v:
Neural Computing and Applications. 32:6843-6855
The alpha matte is a two-dimensional map that is used to combine two images, one containing a foreground and the other containing a background. Alpha matte extraction is performed on green-screen images and requires user interaction to tune parameter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e2aeebb48809b8933d1e00b8f71b25a
https://doi.org/10.1007/s00521-019-04154-4
https://doi.org/10.1007/s00521-019-04154-4
Autor:
Luis Oswaldo Valencia-Rosado, Gibran Etcheverry, Roberto Rosas-Romero, Lizbeth Peralta-Malváez, Omar Lopez-Rincon, David Rojas-Velazquez
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 34:3281-3289
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1c4411c811099d5c3090f09cd9c6d96
https://doi.org/10.3233/jifs-169510
https://doi.org/10.3233/jifs-169510
Publikováno v:
CONIELECOMP
We present a taxonomy of the Artificial Intelligence (AI) methods currently applied for algorithmic music composition. The area known as algorithmic music composition concerns the research on processes of composing music pieces automatically by a com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07f62fe186563158b4a690cf7b6eafec
https://doi.org/10.1109/conielecomp.2018.8327197
https://doi.org/10.1109/conielecomp.2018.8327197
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2017 (2017)
Quick Response QR barcode detection in nonarbitrary environment is still a challenging task despite many existing applications for finding 2D symbols. The main disadvantage of recent applications for QR code detection is a low performance for rotated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5447900880b584b4a0fc809c40ee9578
https://doaj.org/article/605c1f0ec820447e868042024e1f376d
https://doaj.org/article/605c1f0ec820447e868042024e1f376d
Publikováno v:
CONIELECOMP
This paper considers the problem of automatically extracting a foreground element with its alpha matte in green screen images by training a multi-layer perceptron (MLP) with the back-propagation algorithm. The classifier learns to identify green back
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c7f0c6ce1580a1039aa12c6fea3d14c
https://doi.org/10.1109/conielecomp.2016.7438567
https://doi.org/10.1109/conielecomp.2016.7438567
Autor:
Omar Lopez-Rincon, Oleg Starostenko
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319393926
MCPR
MCPR
The recognition of human gestures in real time is still open problem due to low success rate of systems recently reported in scientific literature. This paper presents the proposed method and designed prototype for motion analysis and classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1006041aa2c847e995c0960d5d27fec5
https://doi.org/10.1007/978-3-319-39393-3_14
https://doi.org/10.1007/978-3-319-39393-3_14
