Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Felipe Calderero"'
Autor:
Vanel Lazcano, Felipe Calderero
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4514 (2024)
Depth map estimation is crucial for a wide range of applications. Unfortunately, it often presents missing or unreliable data. The objective of depth completion is to fill in the “holes” in a depth map by propagating the depth information using g
Externí odkaz:
https://doaj.org/article/1de46a18df2b41b68601646ba8f1561a
Publikováno v:
International Journal of Hybrid Intelligent Systems. 17:87-99
This paper discussed an anisotropic interpolation model that filling in-depth data in a largely empty region of a depth map. We consider an image with an anisotropic metric gij that incorporates spatial and photometric data. We propose a numerical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d331747dad630cd4be40f2d56fecf1ac
https://doi.org/10.3233/his-210006
https://doi.org/10.3233/his-210006
Autor:
Vanel Lazcano, Felipe Calderero
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789819923618
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbee2b3f5023cfde9db0c913d8895e9a
https://doi.org/10.1007/978-981-99-2362-5_14
https://doi.org/10.1007/978-981-99-2362-5_14
Autor:
Vanel Lazcano, Felipe Calderero
Publikováno v:
2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dadffac0c7650978999ac2759f0647f9
https://doi.org/10.1109/scisisis55246.2022.10001903
https://doi.org/10.1109/scisisis55246.2022.10001903
Autor:
Vanel Lazcano, Felipe Calderero
Publikováno v:
2022 Tenth International Symposium on Computing and Networking Workshops (CANDARW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::769dc5ec2af8941c6e556774377f90b3
https://doi.org/10.1109/candarw57323.2022.00085
https://doi.org/10.1109/candarw57323.2022.00085
Autor:
Vanel Lazcano, Felipe Calderero
Publikováno v:
Computational Vision and Bio-Inspired Computing ISBN: 9789811695728
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4444124ef541456662a8ec654cf63d02
https://doi.org/10.1007/978-981-16-9573-5_8
https://doi.org/10.1007/978-981-16-9573-5_8
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811903854
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cb6368b8cd783ab62df01c5b95162e0
https://doi.org/10.1007/978-981-19-0386-1_64
https://doi.org/10.1007/978-981-19-0386-1_64
Autor:
Vanel Lazcano, Felipe Calderero
Publikováno v:
2021 4th Artificial Intelligence and Cloud Computing Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5ef2d38bbc80888f17cebcfdc1fced5
https://doi.org/10.1145/3508259.3508275
https://doi.org/10.1145/3508259.3508275
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030736880
SoCPaR
SoCPaR
Our work tackles the problem of anisotropic data interpolation in the context of depth computation in large regions of an image. Usually, depth data present areas without depth data due to low confidence in the data. We consider the image endowed wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6e8ac2bfdf7c66a3ffa11ba302868f6
https://doi.org/10.1007/978-3-030-73689-7_57
https://doi.org/10.1007/978-3-030-73689-7_57
Autor:
Felipe Calderero, Vicent Caselles
Publikováno v:
SIAM Journal on Imaging Sciences
In this paper we study multiscale analyses for images defined on Riemannian manifolds and extend the axiomatic approach proposed by Alvarez, Guichard, Lions, and Morel to this general case. This covers the case of two- and three-dimensional images an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a16a50eeec42039edeae33e074b03ce
https://doi.org/10.1137/130923142
https://doi.org/10.1137/130923142