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Projects / Programmes source: ARIS

Predstavitve objektov z množico pogledov za razpoznavanje in vizualizacijo (Slovene)

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Research activity

Code Science Field Subfield
2.07.07  Engineering sciences and technologies  Computer science and informatics  Intelligent systems - software 

Code Science Field
P170  Natural sciences and mathematics  Computer science, numerical analysis, systems, control 
P176  Natural sciences and mathematics  Artificial intelligence 
Keywords
computer vision, view-based representations, object recognition, visualization
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (10)
no. Code Name and surname Research area Role Period No. of publications
1.  13370  PhD Urban Burnik  Telecommunications  Researcher  1998 - 2001  0 
2.  11161  PhD Aleš Jaklič  Computer science and informatics  Researcher  1998 - 2001  0 
3.  06856  PhD Stanislav Kovačič  Systems and cybernetics  Researcher  1999 - 2001  0 
4.  15621  PhD Bojan Kverh  Computer science and informatics  Researcher  1999 - 2001  0 
5.  10865  PhD Marijan Leban  Telecommunications  Researcher  1998 - 2001  0 
6.  05896  PhD Aleš Leonardis  Computer science and informatics  Head  1999 - 2001  0 
7.  19224  MSc Igor Lesjak  Computer science and informatics  Researcher  1998 - 2001  0 
8.  06618  PhD Jasna Maver  Computer science and informatics  Researcher  1998 - 2001  0 
9.  18198  PhD Danijel Skočaj  Computer science and informatics  Researcher  1998 - 2001  0 
10.  09581  PhD Franc Solina  Computer science and informatics  Researcher  1999 - 2001  0 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  0 
2.  1538  University of Ljubljana, Faculty of Electrical Engineering  Ljubljana  1626965  65 
Abstract
The objective is to investigate new view-based representation methods to facilitate recognition and visualization. We will concentrate on combining various sensing modalities (e.g., intensity, range) under the view-based representation framework, on determining the optimal reference views with respect to the given parameterization and accuracy, and on achieving robust and efficient recognition in realistic complex scenes.
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