Abstract
In the field of service robotics there is a high demand for high quality models of all the objects a service robot should be capable of handling. This is especially true for geometrical representations of objects that can be used for visualization and simulation. The acquisition of such models can be done using the sensors available on the robot or can be generated off line using specialized hardware. Currently the latter approach yields qualitatively better results for onboard sensors are still limited. In project DESIRE high quality models were needed to train the vision system as well as the manipulation capabilities of the demonstrator, thus a specialized sensor setup was constructed and used to generate 2D and 3D object models.
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References
Wohlers Associates: 3d scanning & reverse engineering overview. WWW (2010), http://www.wohlersassociates.com/scanning.html
Azad, P.: IVT (Integrating Vision Toolkit). WWW (2010), http://ivt.sourceforge.net
Azad, P., Gockel, T., Dillmann, R.: Computer Vision - Principles and Practice. Elektor-Verlag (2008)
Helmer, S., Meger, D., Muja, M., Little, J.J., Lowe, D.G.: Multiple viewpoint recognition and localization. Oral at the Asian Computer Vision Conference (2010)
Inus Technology: Rapidform DLL. WWW (2010), http://www.rapidform.com/Contents/Product/Skin/ProductETC/category_id/53
Inus Technology: Rapidform Explorer. WWW (2010), http://www.rapidform.com/portal/default/Products/index?Category=Products_RapidformExplorer_Overview
Kasper, A., Becher, R., Steinhaus, P., Dillmann, R.: Developing and analyzing intuitive modes for interactive object modeling. In: Proceedings of the Ninth International Conference on Multimodal Interfaces (ICMI 2007), Nagoya, Japan (2007)
Kay, T.L., Kajiya, J.T.: Ray tracing complex scenes. In: SIGGRAPH 1986: Proceedings of the 13th Annual Conference on Computer Graphics and Interactive Techniques, pp. 269–278. ACM, New York (1986), http://doi.acm.org/ , doi:10.1145/15922.15916
Levoy, M.: Stanford spherical gantry (2010), http://graphics.stanford.edu/projects/gantry
Rocchini, C., Cignomi, P., Montani, C., Scopigno, R.: Multiple textures stitching and blending on 3D objects, pp. 119–130, citeseer.ist.psu.edu/rocchini99multiple.html
Samet, H.: Implementing ray tracing with octrees and neighbor finding. Computers and Graphics 13, 445–460 (1989)
Shilane, P., Min, P., Kazhdan, M., Funkhouser, T.: The princeton shape benchmark. In: Shape Modeling International (2004)
Wagner, D., Schmalstieg, D.: ARToolKitPlus for Pose Tracking on Mobile Devices. In: Proceedings of 12th Computer Vision Winter Workshop, pp. 139–146 (2007)
Xue, Z., Kasper, A., Zöllner, J.M., Dillmann, R.: An automatic grasp planning system for service robots. In: Proceedings of the 14th International Conference on Advanced Robotics, ICAR (2009)
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Kasper, A., Xue, Z., Dillmann, R. (2012). Semi Automatic Object Modeling for a Service Robot. In: Prassler, E., et al. Towards Service Robots for Everyday Environments. Springer Tracts in Advanced Robotics, vol 76. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25116-0_14
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DOI: https://doi.org/10.1007/978-3-642-25116-0_14
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