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 (metodology)
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
Organisations (2) , Researchers (10)
1539  University of Ljubljana, Faculty of Computer and Information Science
no. Code Name and surname Research area Role Period No. of publications
1.  11161  PhD Aleš Jaklič  Computer science and informatics  Researcher  1998 - 2001  133 
2.  15621  PhD Bojan Kverh  Computer science and informatics  Researcher  1999 - 2001  38 
3.  05896  PhD Aleš Leonardis  Computer science and informatics  Head  1999 - 2001  457 
4.  19224  MSc Igor Lesjak  Computer science and informatics  Researcher  1998 - 2001  16 
5.  06618  PhD Jasna Maver  Computer science and informatics  Researcher  1998 - 2001  99 
6.  18198  PhD Danijel Skočaj  Computer science and informatics  Researcher  1998 - 2001  337 
7.  09581  PhD Franc Solina  Computer science and informatics  Researcher  1999 - 2001  650 
1538  University of Ljubljana, Faculty of Electrical Engineering
no. Code Name and surname Research area Role Period No. of publications
1.  13370  PhD Urban Burnik  Telecommunications  Researcher  1998 - 2001  251 
2.  06856  PhD Stanislav Kovačič  Systems and cybernetics  Researcher  1999 - 2001  390 
3.  10865  PhD Marijan Leban  Telecommunications  Researcher  1998 - 2001  57 
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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