From passive to interactive object learning and recognition through self-identification on a humanoid robot

Author:

Lyubova Natalia,Ivaldi Serena,Filliat David

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference74 articles.

1. Aldavert, D., Ramisa, A., López de Mántaras, R., & Toledo, R., et al. (2010). Real-time object segmentation using a bag of features approach. Artificial Intelligence Research and Development, pp. 321–329.

2. Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L. (2008). Speeded-up robust features (surf). Computer Vision and Image Understanding, 110, 346–359.

3. Belongie, S., Carson, C., Greenspan, H., & Malik, J. (1998). Color-and texture-based image segmentation using EM and its application to content-based image retrieval. In IEEE Conference on Computer Vision (pp. 675–682).

4. Beucher, S., & Meyer, F. (1993). The morphological approach to segmentation: The watershed transformation. mathematical morphology in image processing. Optical Engineering, 34, 433–481.

5. Browatzki, B., Tikhanoff, V., Metta, G., Bulthoff, H., & Wallraven, C. (2012). Active object recognition on a humanoid robot. In IEEE International Conference on Robotics and Automation (ICRA) (pp. 2021–2028).

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