Hierarchical object classification for autonomous mobile robots

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

Volumn 2415 LNCS, Issue , 2002, Pages 831-836

  Simon, Steffen ^a   Schwenker, Friedhelm ^a   Kestler, Hans A ^a   Kraetzschmar, Gerhard ^a   Palm, Günther ^a  

^a UNIVERSITY OF ULM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

MOBILE ROBOTS; NEURAL NETWORKS; OBJECT RECOGNITION; ROBOT APPLICATIONS;

3D OBJECT RECOGNITION; AUTONOMOUS MOBILE ROBOT; FEATURE SPACE; FEATURE VECTORS; HIERARCHICAL OBJECTS; OBJECT CLASSIFICATION; SYMBOL GROUNDING; SYMBOLIC REPRESENTATION;

VECTOR SPACES;

EID: 84902145144     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46084-5_135     Document Type: Conference Paper

References (7)

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2. Simon, S., Kestler, H., Baune, A., Schwenker, F., Palm, G.: Object classification with simple visual attention and a hierarchical neural network for subsymbolicsymbolic coupling. In: Proceedings of the 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation. (1999) 244-249
3. Roth, M., Freeman, W.: Orientation histograms for hand gesture recognition. Technical Report 94-03, Mitsubishi Electric Research Laboratories, Cambridge Research Center (1995)
4. Mel, B.: Seemore: Combining colour, shape, and texture histogramming in a neurally-inspired approach to visual object recognition. Neural Computation 9 (1997) 777-804
5. Kohonen, T.: Self Organizing Maps. Springer-Verlag (1995)
6. Schwenker, F., Kestler, H., Simon, S., Palm, G.: 3D Object Recognition for Autonomous Mobile Robots Utilizing Support Vector Machines. In: Proceedings of the 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation. (2001) 344-349
7. Nene, S.A., Nayar, S.K., Murase, H.: Columbia Object Image Library (COIL-100). Technical Report CUCS-006-96, Columbia University (1996)