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


Pilz F., Shi Y., Grest D., Pugeault N., KALKAN S., Krüger N.

3rd International Symposium on Visual Computing, ISVC 2007, Lake Tahoe, NV, United States Of America, 26 - 28 November 2007, vol.4841 LNCS, pp.692-701 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 4841 LNCS
  • Doi Number: 10.1007/978-3-540-76858-6_67
  • City: Lake Tahoe, NV
  • Country: United States Of America
  • Page Numbers: pp.692-701
  • Middle East Technical University Affiliated: Yes

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. © Springer-Verlag Berlin Heidelberg 2007.