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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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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