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Projects / Programmes source: ARIS

Intelligent Way of Collecting Visual Information

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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
active vision, the next view planning, 3-D scene reconstruction
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 (1)
no. Code Name and surname Research area Role Period No. of publications
1.  06618  PhD Jasna Maver  Computer science and informatics  Head  1998 - 1999  99 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  16,234 
Abstract
The goal of computer vision research is the development of principles and methods which would enable machines to work in an environment on the basis of visual information. One of the major tasks of a sensor system is its ability to find in the working domain sufficient information for accomplishing a given task. In the proposed project we are concerned with the extraction of geometric information of a scene from the acquired images. The aim is to analyze possible strategies of collecting visual information with respect to different amount of a priori knowledge about the scene in order to extract from images: - quantitative 3D information of objects in the scene or their features, - qualitative 3D information of objects in the scene or their features.
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