Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Franc Solina"'
Learning to Predict Superquadric Parameters From Depth Images With Explicit and Implicit Supervision
Publikováno v:
IEEE Access, Vol 9, Pp 1087-1102 (2021)
Reconstruction of 3D space from visual data has always been a significant challenge in the field of computer vision. A popular approach to address this problem can be found in the form of bottom-up reconstruction techniques which try to model complex
Externí odkaz:
https://doaj.org/article/548bfa73dd9a4e429269d1290259098c
Publikováno v:
Sensors, Vol 22, Iss 14, p 5332 (2022)
The task of reconstructing 3D scenes based on visual data represents a longstanding problem in computer vision. Common reconstruction approaches rely on the use of multiple volumetric primitives to describe complex objects. Superquadrics (a class of
Externí odkaz:
https://doaj.org/article/a0ff4204f95a48b89b4ccc75ec59dc14
Publikováno v:
Sensors, Vol 22, Iss 6, p 2369 (2022)
A rare and valuable Palaeolithic wooden point, presumably belonging to a hunting weapon, was found in the Ljubljanica River in Slovenia in 2008. In order to prevent complete decay, the waterlogged wooden artefact had to undergo conservation treatment
Externí odkaz:
https://doaj.org/article/be4b587f947349e5bb2841d25e96cdbf
Publikováno v:
Geologija, Vol 58, Iss 2, Pp 247-260 (2015)
The methods used in geology to determine colour and colour coverage are expensive, time consuming, and/ or subjective. Estimates of colour coverage can only be approximate since they are based on rough comparisonbased measuring etalons and subjectiv
Externí odkaz:
https://doaj.org/article/0dbeb6b641f74e938d2a8d1db8f7b864
Autor:
Robert Ravnik, Franc Solina
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 13, Iss 2 (2014)
In the doctoral thesis we developed an interactive and user-adaptive information interface based on computer vision and machine learning methods. By using a camera-enhanced digital signage display we employed real-time computer vision algorithms to e
Externí odkaz:
https://doaj.org/article/0ebd046d8b394bf080fb8d6a085da500
Publikováno v:
Arheološki Vestnik, Vol 65 (2014)
Med preventivnimi podvodnimi arheološkimi pregledi struge Ljubljanice pri Sinji Gorici leta 2008 so bili med drugim odkriti ostanki zgodnjerimske tovorne ladje z začetka 1. st. n. št. Oktobra 2012 je bil delno raziskan 4,5 m dolg in 2,8 m širok d
Externí odkaz:
https://doaj.org/article/7169c06b967b46d4b5329085b32c4d06
Autor:
Robert Ravnik, Franc Solina
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
In this paper we present the development of an interactive, content-aware and cost-effective digital signage system. Using a monocular camera installed within the frame of a digital signage display, we employ real-time computer vision algorithms to e
Externí odkaz:
https://doaj.org/article/e3eb568b1f204486b7c4d0c9c8b9a0dd
Autor:
Franc, Solina
Publikováno v:
Creativity
This article compares creative work in science and the arts based on the author’s own experience. In the field of science, the author works in the field of computer vision and is most interested in modelling 3D shapes from depth images. He started
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0da6dd56033137b7b8de92ad62a324c
https://doi.org/10.5772/intechopen.101955
https://doi.org/10.5772/intechopen.101955
Publikováno v:
Sensors; Volume 22; Issue 14; Pages: 5332
Sensors, vol. 22, no. 14, 5332, 2022.
Sensors, vol. 22, no. 14, 5332, 2022.
The task of reconstructing 3D scenes based on visual data represents a longstanding problem in computer vision. Common reconstruction approaches rely on the use of multiple volumetric primitives to describe complex objects. Superquadrics (a class of
Learning to Predict Superquadric Parameters From Depth Images With Explicit and Implicit Supervision
Publikováno v:
IEEE Access, Vol 9, Pp 1087-1102 (2021)
Reconstruction of 3D space from visual data has always been a significant challenge in the field of computer vision. A popular approach to address this problem can be found in the form of bottom-up reconstruction techniques which try to model complex