Utilizing semantic interpretation of junctions for 3D-2D pose estimation

Pilz, Florian
Shi, Yan
Grest, Daniel
Pugeault, Nicolas
Kalkan, Sinan
Krüger, Norbert
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.


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Citation Formats
F. Pilz, Y. Shi, D. Grest, N. Pugeault, S. Kalkan, and N. Krüger, “Utilizing semantic interpretation of junctions for 3D-2D pose estimation,” Lake Tahoe, NV, Amerika Birleşik Devletleri, 2007, vol. 4841 LNCS, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=38149123380&origin=inward.