Abstract
This paper describes an approach for mobile robot localization using a visual word based place recognition approach. In our approach we exploit the benefits of a stereo camera system for place recognition. Visual words computed from SIFT features are combined with VIP (viewpoint invariant patches) features that use depth information from the stereo setup. The approach was evaluated under the ImageCLEF@ICPR 2010 competition. The results achieved on the competition datasets are published in this paper.
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Angeli, A., Filliat, D., Doncieux, S., Meyer, J.A.: Fast and incremental method for loop-closure detection using bags of visual words. IEEE Transactions on Robotics 24(5), 1027–1037 (2008)
Cummins, M., Newman, P.: FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance. The International Journal of Robotics Research 27(6), 647–665 (2008), http://ijr.sagepub.com/cgi/content/abstract/27/6/647
Fraundorfer, F., Wu, C., Frahm, J.M., Pollefeys, M.: Visual word based location recognition in 3d models using distance augmented weighting. In: Fourth International Symposium on 3D Data Processing, Visualization and Transmission (2008)
Fraundorfer, F., Wu, C., Pollefeys, M.: Combining monocular and stereo cues for mobile robot localization using visual words. In: Ünay, D., Çataltepe, Z., Aksoy, S. (eds.) ICPR 2010. LNCS, vol. 6388, pp. 182–191. Springer, Heidelberg (2010)
Lowe, D.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2), 91–110 (2004)
Murillo, A.C., Kosecka, J.: Experiments in place recognition using gist panoramas. In: IEEE Workshop on Omnidirectional Vision, Camera Netwoks and Non-Classical Cameras, ICCV 2009, pp. 1–8 (2009)
Nistér, D., Stewénius, H.: Scalable recognition with a vocabulary tree. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition, New York City, New York, pp. 2161–2168 (2006)
Ohta, Y., Kanade, T.: Stereo by intra- and inter-scanline search using dynamic programming. PAMI 7(1), 139–154 (1985)
Ortín, D., Montiel, J.M.M.: Indoor robot motion based on monocular images. Robotica 19(3), 331–342 (2001)
Pronobis, A., Caputo, B.: Cold: Cosy localization database. International Journal of Robotics Research (IJRR) 28(5), 588–594 (2009)
Scaramuzza, D., Fraundorfer, F., Pollefeys, M., Siegwart, R.: Closing the loop in appearance-guided structure-from-motion for omnidirectional cameras. In: The Eight Workshop on Omnidirectional Vision, ECCV 2008, pp. 1–14 (2008)
Schindler, G., Brown, M., Szeliski, R.: City-scale location recognition. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, Minnesota, pp. 1–7 (2007)
Wu, C., Clipp, B., Li, X., Frahm, J.M., Pollefeys, M.: 3d model matching with viewpoint invariant patches (vips). In: Proc. IEEE Conference on Computer Vision and Pattern Recognition (2008)
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Fraundorfer, F., Wu, C., Pollefeys, M. (2010). Methods for Combined Monocular and Stereo Mobile Robot Localization. In: Ünay, D., Çataltepe, Z., Aksoy, S. (eds) Recognizing Patterns in Signals, Speech, Images and Videos. ICPR 2010. Lecture Notes in Computer Science, vol 6388. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17711-8_19
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DOI: https://doi.org/10.1007/978-3-642-17711-8_19
Publisher Name: Springer, Berlin, Heidelberg
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