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SFB 673 - A4 arrow Publikationen
Publikationen
 
Diploma/Master Thesis
Bachelor Thesis
2009
2008
  • Agnes Swadzba & Sven Wachsmuth (2008). Categorizing Perceptions of Indoor Rooms Using 3D Features, Lecture Notes in Computer Science: Structural, Syntactic, and Statistical Pattern Recognition, vol. 5342, Orlando, FL, USA, Springer, pp. 744–754.
  • Gert Rickheit, Hans Strohner & Constanze Vorwerg (2008). The concept of communicative competence. In G. Rickheit & H. Strohner (Eds.), Communicative competence. Handbook of applied linguistics, Vol. 1 (pp. 15-62). New York: Mouton de Gruyter.
  • Agnes Swadzba and Niklas Beuter and Joachim Schmidt and Gerhard Sagerer: Tracking Objects in 6D for Reconstructing Static Scenes. In Proc. of Computer Vision and Pattern Recognition Workshop on Time of Flight Camera Based Computer Vision. Anchorage, Alaska,c USA. 2008

  • Agnes Swadzba, Anna-Lisa Vollmer, Marc Hanheide & Sven Wachsmuth (2008). Reducing Noise and Redundancy in Registered Range Data for Planar Surface Extraction . In Proc. of International Conference on Pattern Recognition. Tampa, Florida, USA.
  • Constanze Vorwerg (2008). Consistency in successive spatial utterances. In K. R. Coventry, T Tenbrink., & J. Bateman (Eds.), Spatial language and dialogue. Oxford University Press (to appear).

  • Sven Wachsmuth & Agnes Swadzba (2008). Probabilistic Scene Modeling for Situated Computer Vision . In Logic and Probability for Scene Interpretation. Dagstuhl Seminar Proceedings. Dagstuhl, Germany. 
2007
  • Frank Hegel, Manja Lohse, Agnes Swadzba, Sven Wachsmuth, Katharina Rohlfing & Britta Wrede (2007). Classes of Applications for Social Robots: A User Study . In Proc. of International Symposium on Robot and Human Interactive Communication. Jeju Island, Korea.
  • Constanze Vorwerg & Thora Tenbrink (2007). Discourse factors influencing spatial descriptions in English and German. In T. Barkowsky, M. Knauff, G. Ligozat, and D. Montello (Eds.), Spatial cognition V: Reasoning, action, interaction (S. 470-488). Berlin: Springer (Lecture Notes in Artificial Intelligence, 4387).