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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Pilz, F., Shi, Y., Grest, D., Pugeault, N., Kalkan, S., & Krüger, N. (2007). Utilizing semantic interpretation of junctions for 3D-2D pose estimation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4841 LNCS, pp. 692–701). Springer Verlag. https://doi.org/10.1007/978-3-540-76858-6_67
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