3D shape detection for mobile robot learning

Advances in Robotics Research: Theory, Implementation, Application

Volumn , Issue , 2009, Pages 99-109

  Richtsfeld, Andreas ^a   Vincze, Markus ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

ROBOTICS;

3-D SHAPE; AFFORDANCES; BASIC SHAPES; METHOD OF PROCESSING; SHAPE DETECTION; VISUAL DATA;

ROBOTS;

EID: 84856872210     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-01213-6_10     Document Type: Conference Paper

References (13)

1. Gibson, J.: The Ecological Approch to Visual Perception. Hougton Mifflin, Boston (1979).
2. Zabkar, J., Bratko, I., Mohan, A.: Learning Qualitative Models by an Autonomous Robot. In: 22th International Workshop on Qualitative Reasoning, pp. 150-157 (2008).
3. Zabkar, J., Bratko, I., Jerse, G., Prankl, J., Schlemmer, M.: Learning Qualitative Models From Image Sequences. In: 22nd International Workshop on Qualitative Reasoning, pp. 146-149 (2008).
4. Montesano, M., Lopes, A., Bernardino, J., Santos-Victor, J.: Learning Object Affordances: From Sensory-Motor Coordination to Imitation. IEEE Transactions on Robotics [see also IEEE Transactions on Robotics and Automation] 24(1), 15-26 (2008).
5. Kuipers, B., Beeson, P., Modayil, J., Provost, J.: Boostrap learning of foundational representations. Connection Science 18.2; special issue on Developmental Robotics (2006).
6. Modayil, J., Kuipers, B.: Bootstrap Learing for Object Discovery. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 742- 747 (2004).
7. Biederman, I.: Recognition-by-Components: A Theory of Human Image Understanding. Psychological Review 94(2), 115-147 (1987).
8. Lowe, D.G.: Three-dimensional object recognition from single two-dimensional images. Artificial Intelligence 31(3), 355-395 (1987).
9. Dickinson, S., Bergevin, R., Biederman, I., Eklund, J., et al.: Panel report: The potential of geons for generic 3-d object recognition. Image and Vision Computing 15(4), 277-292 (1997).
10. Sarkar, S., Boyer, K.L.: A computational structure for preattentive perceptual organization: Graphical enumeration and voting methods. IEEE Transactions on System, Man and Cybernetics 24(2), 246-266 (1994).
11. Zillich, M.: Making Sense of Images: Parameter-Free Perceptual Grouping. Ph.D. Dissertation, Technical University of Vienna (2007).
12. Zillich, M., Matas, J.: Ellipse detection using efficient grouping of arc segments. In: 27th Workshop of the Austrian Association for Pattern Recognition AGM/AAPR, pp. 143-148 (2003).
13. Carlbom, I., Paciorek, J.: Planar Geometric Projections and Viewing Transformations. Computing Surveys 10(4), 465-502 (1978).