Projects / Programmes
January 1, 2004
- December 31, 2008
Code |
Science |
Field |
Subfield |
2.07.00 |
Engineering sciences and technologies |
Computer science and informatics |
|
Computer vision, cognitive vision, machine vision, cognitive systems, visual learning, visual recognition, visual categorisation, mobile robots, biometry
Researchers (16)
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
21307 |
PhD Matej Artač |
Computer intensive methods and applications |
Junior researcher |
2004 - 2006 |
30 |
2. |
22472 |
PhD Borut Batagelj |
Computer science and informatics |
Researcher |
2004 - 2008 |
192 |
3. |
29381 |
PhD Luka Čehovin Zajc |
Computer science and informatics |
Junior researcher |
2008 |
124 |
4. |
25527 |
PhD Luka Fuerst |
Computer science and informatics |
Researcher |
2005 - 2008 |
70 |
5. |
11161 |
PhD Aleš Jaklič |
Computer science and informatics |
Researcher |
2004 - 2008 |
119 |
6. |
22474 |
PhD Jaka Krivic |
Computer science and informatics |
Junior researcher |
2004 - 2006 |
13 |
7. |
15621 |
PhD Bojan Kverh |
Computer science and informatics |
Researcher |
2004 - 2008 |
34 |
8. |
05896 |
PhD Aleš Leonardis |
Computer science and informatics |
Researcher |
2004 - 2008 |
455 |
9. |
06618 |
PhD Jasna Maver |
Computer science and informatics |
Researcher |
2004 - 2008 |
99 |
10. |
22473 |
PhD Katarina Mele |
Computer science and informatics |
Researcher |
2005 - 2008 |
17 |
11. |
19226 |
PhD Peter Peer |
Computer science and informatics |
Researcher |
2004 - 2008 |
408 |
12. |
25051 |
Miha Peternel |
Computer science and informatics |
Technical associate |
2005 - 2008 |
18 |
13. |
18198 |
PhD Danijel Skočaj |
Computer science and informatics |
Researcher |
2004 - 2008 |
309 |
14. |
09581 |
PhD Franc Solina |
Computer science and informatics |
Head |
2004 - 2008 |
640 |
15. |
26011 |
Aleš Štimec |
Computer science and informatics |
Junior researcher |
2005 - 2008 |
6 |
16. |
26517 |
Tadej Zupančič |
Computer science and informatics |
Junior researcher |
2006 - 2008 |
8 |
Organisations (2)
Abstract
The research group is involved in basic research in computer vision, with emphasis on visually enabled cognitive systems involving visual learning and recognition. Topics include interpretation of range images, recognition and tracking of objects, scenes, and activities in visual cognitive tasks such as surveillance and smart vision-based detection and positioning using wearable computing in urban environments as well as for mobile robots and cognitive assistants, detection and recognition of human faces and application of computer vision in multimedia and in new media art.
Research in the area of visually enabled cognitive systems focuses on various theories, at different levels of abstraction, regarding requirements, architectures, forms of representation, kinds of ontologies and knowledge, and varieties of mechanisms relevant to integration and control of vision systems. In this context, cognitive vision implies functionalities for knowledge representation, learning, reasoning about events and structures, recognition and categorization, and goal specification, all of which are concerned with the semantics of the relationship between the visual agent and its environment. This requires a vast effort in a multidisciplinary understanding of cognitive processes, involving studies in cognitive psychology, neuroscience, and philosophy of mind.
Significance for science
The research group significantly contributes towards acquisition of novel knowledge and development of new applications in the area of computer vision. This is reflected in numerous publications in prestigious scientific journals, involvement in several EU projects, in organization of top conferences and in editing and reviewing for the best journals in the area of computer vision, in reviewing for EU projects, as well as in serving in PhD committees at other universities. The group with its collaboration in science and art community also contributes to the development of national cultural identity.
Significance for the country
The research group significantly contributes towards acquisition of novel knowledge and development of new applications in the area of computer vision. This is reflected in numerous publications in prestigious scientific journals, involvement in several EU projects, in organization of top conferences and in editing and reviewing for the best journals in the area of computer vision, in reviewing for EU projects, as well as in serving in PhD committees at other universities. The group with its collaboration in science and art community also contributes to the development of national cultural identity.
Most important scientific results
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Most important socioeconomically and culturally relevant results
Final report,
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