Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Mele, Katarina"'
Autor:
Rezatofighi, Seyed Hamid, Gould, Stephen, Vo, Ba Tuong, Vo, Ba-Ngu, Mele, Katarina, Hartley, Richard
Quantitative analysis of the dynamics of tiny cellular and sub-cellular structures, known as particles, in time-lapse cell microscopy sequences requires the development of a reliable multi-target tracking method capable of tracking numerous similar t
Externí odkaz:
http://arxiv.org/abs/1507.06397
Autor:
Maver, Jasna, Mele, Katarina
Publikováno v:
Elektrotehniški vestnik
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3825::2c5c7f27c7d3f5d08fdb12c79ddc5102
http://www.dlib.si/details/URN:NBN:SI:doc-IPQYUAMV
http://www.dlib.si/details/URN:NBN:SI:doc-IPQYUAMV
Autor:
Mele, Katarina, Maver, Jasna
In this work an adaptive method for accurate and robust grouping of local features belonging to planes of interior scenes and object planar surfaces is presented. For arbitrary set of images acquired from different views, the method organizes a huge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______333::e13aa2266438878dc564485ec7e55bac
http://eprints.fri.uni-lj.si/136/
http://eprints.fri.uni-lj.si/136/
Autor:
Mele, Katarina
Learning and recognition of 3-D objects with appearance-based methods rely solely on visual properties of the objects. Visual appearances of an object are acquired by a sufficient number of images showing the object under different conditions and in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______333::63583bc488b59a187b5e89a35a2a9a7a
http://eprints.fri.uni-lj.si/131/
http://eprints.fri.uni-lj.si/131/
Autor:
Mele, Katarina, Leonardis, Aleš
S člankom smo posegli na interdisciplinarno področje računalniskega vida in medicine. Analizirali smo slike vzorcev DCIS, eno izmed oblik raka na dojki. Segmentirali smo celična jedra in odkrivali grupe, v katere se ta jedra združujejo. Kriterij
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______333::7da4d14ecdfe75d09ac7b78c31e65cba
http://eprints.fri.uni-lj.si/134/
http://eprints.fri.uni-lj.si/134/
Autor:
Mele, Katarina, Maver, Jasna
The paper deals with the object recognition problem. The objective is to localize and recognize the known objects in different orientations on cluttered background. As a learning tool we choose support vector machines (SVMs). To eliminate the problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______333::2b6c6c7f3a9505c698c0a9b2c47ed044
http://eprints.fri.uni-lj.si/135/
http://eprints.fri.uni-lj.si/135/
V predstavljenem delu raziskujemo občutljivost metode SVM v primeru visokodimenzionalnih podatkov-slik. Metodo smo testirali na slikovni bazi COIL-100. Opazovali smo, kako se metoda obnaša pri slikah, ki smo jim dodali šum, zakrivanja in pri premi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______333::f9c2490ee4ba1a6edc4d51adc6671c7e
http://eprints.fri.uni-lj.si/28/
http://eprints.fri.uni-lj.si/28/
Autor:
Mele, Katarina
This work deals with cell nucleus segmentation and the edge detection of the clumps formed by nuclei. The fact is that it is both cell nucleus features and clump shapes that serve as cancer diagnosis criteria. In addition, the work includes several p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2410d20e34227495fa6dd85ff2082c1f
http://eprints.fri.uni-lj.si/26/
http://eprints.fri.uni-lj.si/26/