Abstract
This article presents a method for cooperative reconstruction of three-dimensional scenes using multiple views. Although the use of multiple views is one of the most applied in the 3D scenes interpretation, its use with a single mobile robot does not guarantee the perfect localization of the environment, due to odometry errors. Also, the reconstruction of dynamic environments is not allowed for a single robot, which takes views in different instants. This work proposes a system formed by multiple robots to get a cooperative reconstruction of the scene. The robots decide the best strategy to acquire the image to get the best reconstruction using an objective function defined. In this function, mainly are considered uncertainty of the reconstruction and view points. The result of this optimization is the next position of the robots.
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Winchel, W.: Inspection and Measuring in Manufacturing. Keys to process planning and improvement. Society of Manufacturing Engineering (1996)
García, D., Sebastián, J.M., Sánchez, F.M., Jiménez, L.M., González, J.M.: 3D inspection system for manufactured machine parts. In: Proceedings of SPIE. Machine Vision Applications in Industrial Inspection VII, vol. 3562, pp. 25–29 (1999)
Zhou, L.-X.: Evaluation, evolution and optimal manipulation of uncertainties in computer vision. In: ISPRS International Conference on Intelligent Processing Systems (October 1997)
Rivera-Rios, A.H., Shilh, F.-L., Marefat, M.: Stereo camera pose determination with error reduction and tolerance satisfaction for dimensional measurements. In: Proceedings of the 2005 IEEE. International Conference on Robotics and Automation (April 2005)
Lim, S.-N., Davis, L.S.: Visibility planning for active Video Collection. In: European Conference on Computer Vision (June 2006)
Quian, X., Harding, K.G.: Partitioning positional and normal space for fast occlusion detection. In: Proceedings of DETC 2003. ASME 2003 Design Engineering Technical Conferences and Computers and Information in Engineering Conference (September 2003)
Sanchiz, J.M., Fisher, R.B.: A next-best-view algorithm for 3D scene recovery with 5 degrees of freedom. In: British Machine Vision Conference (1999)
Reed, M.K., Allen, P.K.: Constraint-based sensor planning for scene modelling. Computational Intelligence in Robotics and Automation (1999)
Bourgault, F., Makarenko, A., Williams, S.B., Grocholosky, B., Durrant-Whyte, H.F.: Information based adaptive robotic exploration. In: Proceedings of the 2002 IEEE International Conference on Intelligent Robots and Systems (2002)
Stachniss, C.: Exploration and mapping with mobile robots. Phd Dissertation (April 2006)
Burgard, W., Stachniss, C., Crisetti, G.: Information Gain-based Exploration Using Rao-Blackwellized Filters. In: Proceedings of the 2005 IEEE International Conference on Intelligent Robots and Systems (2005)
Sim, G., Dudek, G., Roy, N.: Online control policy optimization for minimizing map uncertainty during exploration. Robotic and Automation, 2004. In: Proceedings ICRA (2004)
Navarro-Serment, L.E., Dolan, J.M., Khosla, P.K.: Optimal sensor placement for cooperative distributed vision. In: Proceedings of the 2004 IEEE. International Conference on Robotics and Automation (April 2004)
Mourikis, A.I., Roumeliotis, S.I.: Performance analisys of multi-robot cooperative system. IEEE Transactions on Robotics (August 2006)
Göhring, D., Burkhard, H.-D.: Multi-robot object tracking and self localization using visual percept relations. In: Proceedings of the 2006 IEEE. International Conference on Intelligent Robots and Systems (October 2006)
Ko, J., Stewart, B., Fox, D., Konolige, K., Limketkai, B.: A practical decision-theoretic approach to multi-robot mapping and exploration. In: Proceedings of the 2003 IEEE. International Conference on Intelligent Robots and Systems (2003)
Fox, D., Ko, J., Konolige, K., Limketkai, B.: Distributed multi-robot exploration and mapping. In: Proceedings of the 2006 IEEE (2006)
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González, N., Sebastián, J.M., Artieda, J. (2008). Optimization in 3D Scene Acquisition with Two Mobile Robots. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69812-8_39
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DOI: https://doi.org/10.1007/978-3-540-69812-8_39
Publisher Name: Springer, Berlin, Heidelberg
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