Active Vision for Scene Understanding
Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which i...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Grotz, Markus [verfasserIn] |
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| Format: |
E-Book |
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| Sprache: |
Englisch |
| Erschienen: |
Karlsruhe: KIT Scientific Publishing ; 2021 |
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| Rechteinformationen: |
Open Access Creative Commons ; by-sa/4.0 |
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| Schlagwörter: |
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| Umfang: |
1 Online-Ressource (204 p.) |
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| Reihe: |
Karlsruhe Series on Humanoid Robotics ; 7 |
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| Links: | |
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| ISBN: |
978-3-7315-1101-4 |
| Katalog-ID: |
1836513445 |
|---|
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A semantic model of the scene is created, which is extended by successively changing the robot's view in order to explore interaction possibilities of the scene Creative Commons by-sa/4.0 cc English Maths for computer scientists https://library.oapen.org/bitstream/id/b89d761c-5a11-439a-9986-d8dfd16b5984/9783731511014.pdf X:OAPEN Verlag kostenfrei https://library.oapen.org/handle/20.500.12657/52948 X:OAPEN Verlag kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280169314 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280721645 OLR-OAPEN f z 01-03-23 30 01 0104 4281082662 GBV-OAPEN z 01-03-23 31 01 0027 4280364087 z 01-03-23 34 01 3551 427891959X OLR-OAPEN zi002 01-03-23 39 01 0547 4281274057 GBV-OAPEN ke 01-03-23 40 01 0007 4279988196 OLR-OAPEN xsn 01-03-23 63 01 3401 4281657681 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281906819 OLR-OAPEN z 01-03-23 70 01 0089 4280542562 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 4278742258 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343269906 OLR-OAL Vervielfältigungen (z.B. 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9783731511014 978-3-7315-1101-4 (DE-627)1836513445 (DE-599)KEP077641329 (OCoLC)1302716164 (OAPEN)52948 (EBP)077641329 DE-627 eng DE-627 rda eng UYAM bicssc Grotz, Markus verfasserin aut Active Vision for Scene Understanding Karlsruhe KIT Scientific Publishing 2021 1 Online-Ressource (204 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Karlsruhe Series on Humanoid Robotics 7 Open Access Unrestricted online access star Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. 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Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which is extended by successively changing the robot's view in order to explore interaction possibilities of the scene |
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Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which is extended by successively changing the robot's view in order to explore interaction possibilities of the scene |
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Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which is extended by successively changing the robot's view in order to explore interaction possibilities of the scene |
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Active Vision for Scene Understanding |
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https://library.oapen.org/bitstream/id/b89d761c-5a11-439a-9986-d8dfd16b5984/9783731511014.pdf https://library.oapen.org/handle/20.500.12657/52948 |
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