Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Oblak, Tim"'
Autor:
Šircelj, Jaka, Oblak, Tim, Grm, Klemen, Petković, Uroš, Jaklič, Aleš, Peer, Peter, Štruc, Vitomir, Solina, Franc
In this paper we address the problem of representing 3D visual data with parameterized volumetric shape primitives. Specifically, we present a (two-stage) approach built around convolutional neural networks (CNNs) capable of segmenting complex depth
Externí odkaz:
http://arxiv.org/abs/2001.10504
Publikováno v:
In 2019 International Work Conference on Bioinspired Intelligence (IWOBI), pp. 45-52. IEEE, 2019
It has been a longstanding goal in computer vision to describe the 3D physical space in terms of parameterized volumetric models that would allow autonomous machines to understand and interact with their surroundings. Such models are typically motiva
Externí odkaz:
http://arxiv.org/abs/1904.06585
Publikováno v:
In Knowledge-Based Systems 17 August 2022 250
Autor:
Oblak, Tim1,2 (AUTHOR) tim.oblak@fri.uni-lj.si, Haraksim, Rudolf2 (AUTHOR), Beslay, Laurent2 (AUTHOR), Peer, Peter1 (AUTHOR)
Publikováno v:
Sensors (14248220). Apr2023, Vol. 23 Issue 8, p4006. 22p.
Autor:
Oblak, Tim, Peer, Peter
Publikováno v:
Uporabna Informatika; 2022, Vol. 30 Issue 4, p245-249, 5p
Autor:
Oblak, Tim
Reconstruction of 3D space from 2D image data has always been a significant challenge in the field of computer vision. Simple geometric entities are used to describe larger, more complex objects or entire scenes. This representation of the environmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64b5b8fc34e3ae6472c2cf99f8b745af
With the recent advancements in deep neural computation, we devise a method to recover superquadric parameters from range images using a convolutional neural network. By training our simple, fullyconvolutional architecture on synthetic data images, c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______333::a7357dd89f579e91bfa02e0ac83697ec
http://eprints.fri.uni-lj.si/4392/
http://eprints.fri.uni-lj.si/4392/
Autor:
Oblak, Tim
Zaradi svojih biometričnih lastnosti uhlji predstavljajo zanesljiv in edinstven vir informacij, še posebej uporaben na področju identifikacije ljudi. Pogoj za uspešno prepoznavo uhlja je učinkovit način detekcije, ki kljub prekrivanju in razli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3505::0efaa524c41a52d9e388efb6bd5f2d5f
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=95923
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=95923
Autor:
Oblak, Tim
Because of their biometric properties, ears provide a reliable and unique source of information that is useful in the field of human identification. The condition for successful ear recognition is an effective detection method, which, despite various
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______333::d3dfafbc967b3609af9cc4c1ce8c8eae
http://eprints.fri.uni-lj.si/3959/
http://eprints.fri.uni-lj.si/3959/