Pilz, F., Shi, Y., Grest, D., Pugeault, N. , Kalkan, S. and Krüger, N. (2007) Utilizing semantic interpretation of junctions for 3D-2D pose estimation. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Paragios, N., Tanveer, S.-M., Ju, T., Liu, Z., Coquillart, S., Cruz-Neira, C., Müller, T. and Malzbender, T. (eds.) Advances in Visual Computing: Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part I. Series: Lecture notes in computer science (4851). Springer: Berlin ; New York, pp. 692-701. ISBN 9783540768579 (doi: 10.1007/978-3-540-76858-6_67)
Full text not currently available from Enlighten.
Abstract
In this paper we investigate the quality of 3D-2D pose estimates using hand labeled line and point correspondences. We select point correspondences from junctions in the image, allowing to construct a meaningful interpretation about how the junction is formed, as proposed in e.g. [1], [2], [3]. We make us of this information referred as the semantic interpretation, to identify the different types of junctions (i.e. L-junctions and T-junctions). T-junctions often denote occluding contour, and thus do not designate a point in space. We show that the semantic interpretations is useful for the removal of these T-junction from correspondence sets, since they have a negative effect on motion estimates. Furthermore, we demonstrate the possibility to derive additional line correspondences from junctions using the semantic interpretation, providing more constraints and thereby more robust estimates.
Item Type: | Book Sections |
---|---|
Status: | Published |
Glasgow Author(s) Enlighten ID: | Pugeault, Dr Nicolas |
Authors: | Pilz, F., Shi, Y., Grest, D., Pugeault, N., Kalkan, S., and Krüger, N. |
College/School: | College of Science and Engineering > School of Computing Science |
Publisher: | Springer |
ISBN: | 9783540768579 |
University Staff: Request a correction | Enlighten Editors: Update this record