Abstract
This article describes a novel junction descriptor that encodes junctions’ semantic information in terms incoming lines’ orientations, both in 2D and 3D. A Kalman filter process is used to reduce the effect of local noise on the descriptor’s error and to track the features. The improvement gained by our algorithm is demonstrated quantitatively on synthetic scenes and qualitatively on real scenes.
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Kalkan, S., Wörgötter, F., Krüger, N.: Statistical analysis of local 3d structure in 2d images, pp. 1114–1121 (2006)
Harris, C.G., Stephens, M.: A combined corner and edge detector. In: 4th Alvey Vision Conference, pp. 147–151 (1988)
Rohr, K.: Recognizing corners by fitting parametric models, vol. 9, pp. 213–230 (1992)
Hahn, M., Krüger, N.: Junction detection and semantic interpretation using hough lines. In: DAGM 2000 (2000)
Kalkan, S., Shi, Y., Pilz, F., Krüger, N.: Improving junction detection by semantic interpretation. In: VISAPP (1), pp. 264–271 (2007)
Hansen, T., Neumann, H.: Neural mechanisms for the robust representation of junctions. Neural Comput. 16, 1013–1037 (2004)
Shen, X., Palmer, P.: Uncertainty propagation and the matching of junctions as feature groupings. IEEE Trans. Pattern Anal. Mach. Intell. 22, 1381–1395 (2000)
Parida, L., Geiger, D., Hummel, R.: Junctions: detection, classification and reconstruction, vol. 20, pp. 687–698 (1998)
Krüger, N., Lappe, M., Wörgötter, F.: Biologically Motivated Multi-modal Processing of Visual Primitives. Interdisciplinary Journal of Artificial Intelligence & the Simulation of Behaviour, AISB Journal 1, 417–427 (2004)
Pugeault, N.: Early Cognitive Vision: Feedback Mechanisms for the Disambiguation of Early Visual Representation. PhD thesis, Informatics Institute, University of Göttingen (2008)
Kraft, D., Pugeault, N., Başeski, E., Popović, M., Kragic, D., Kalkan, S., Wörgötter, F., Krüger, N.: Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object Action Complexes. Special Issue on Cognitive Humanoid Robots of the International Journal of Humanoid Robotics 5, 247–265 (2009)
Pugeault, N., Wörgötter, F., Krüger, N.: Accumulated Visual Representation for Cognitive Vision. In: Proceedings of the British Machine Vision Conference, BMVC (2008)
Zetzsche, C., Barth, E.: Fundamental limits of linear filters in the visual processing of two dimensional signals. Vision Research 30, 1111–1117 (1990)
Jähne, B.: Digital Image Processing – Concepts, Algorithms, and Scientific Applications. Springer, Heidelberg (1997)
Felsberg, M., Kalkan, S., Krüger, N.: Continuous dimensionality characterization of image structures. Image and Vision Computing 27, 628–636 (2009)
Goswami, D., Kalkan, S., Kruger, N.: Bayesian classification of image structures. In: Scandinavian Conference on Image Analysis, SCIA (2009)
Simonsen, B., Nielsen, M.: Junctions in an early cognitive vision system. Master’s thesis, Cognitive Vision Group, Maersk Institute, University of Southern Denmark (2009)
Faugeras, O.: Three–Dimensional Computer Vision. MIT Press, Cambridge (1993)
Kalman, R.: A new approach to linear filtering and prediction problems. Journal of Basic Engineering 82 (1960)
Pilz, F., Pugeault, N., Krüger, N.: Comparison of point and line features and their combination for rigid body motion estimation. In: Statistical and Geometrical Approaches to Visual Motion Analysis. LNCS, vol. 5604. Springer, Heidelberg (2009)
Detry, R., Pugeault, N., Piater, J.: A probabilistic framework for 3d visual object representation. IEEE transactions on Pattern Analysis and Machine Intelligence (in press)
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Simonsen, K.B., Nielsen, M.T., Pilz, F., Krüger, N., Pugeault, N. (2009). Spatial-Temporal Junction Extraction and Semantic Interpretation. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2009. Lecture Notes in Computer Science, vol 5875. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10331-5_26
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DOI: https://doi.org/10.1007/978-3-642-10331-5_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10330-8
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