Fast image segmentation, object recognition and localization in a RoboCup scenario

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1856, Issue , 2000, Pages 174-185

  Bandlow, Thorsten ^a   Klupsch, Michael ^a   Hanek, Robert ^a   Schmitt, Thorsten ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; OBJECT RECOGNITION; ROBOTS;

CLASSICATION; FREE MOTION; OBJECT RECOGNITION AND LOCALIZATION; POSITION AND ORIENTATIONS; ROBOT SOCCER; VISION BASED; VISION SYSTEMS;

FOOTBALL;

EID: 84944890402     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45327-x_13     Document Type: Conference Paper

References (6)

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2. Eckstein, W. Unified Gray Morphology: The Dual Rank. Pattern Recognition and Image Analysis 7, 1 (1997).
3. Eckstein, W., and Steger, C. Architecture for Computer Vision Application Development within the HORUS System. Journal of Electronic Imaging 6, 2 (Apr. 1997), 244-261.
4. Klupsch, M. Object-OrientedRepresentationofTime-VaryingDataSequencesin Multiagent Systems. In International Conference on Information Systems Analysis and Synthesis (ISAS’98) (Orlando, FL, USA, 1998), N. Callaos, Ed., International Institute of Informatics and Systemics (IIIS), pp. 833-839.
5. Klupsch, M., Bandlow, T., Grimme, M., Kellerer, I., Lückenhaus, M., Schwarzer, F., and Zierl, C. Agilo RoboCuppers: RoboCup Team Dscription. In RoboCup’98 (1998), Lecture Notes in Computer Science, Springer-Verlag.
6. Lenz, R., and Tsai, R. Y. Techniques for Calibration of the Scale Factor and Image Center for High Accuracy 3-D Machine Vision Metrology. IEEE Trans, on Pattern Analysis and Machine Intelligence 10, 5 (Sept. 1988), 713-720.