Abstract
A model based structural recognition approach is used for 3D detection and localization of vehicles. It is theoretically founded by syntactic pattern recognition using coordinate grammars and depicted by production nets. The computational effort significantly depends on certain tolerance parameters and the distribution of input data in the attribute domain. A brief theoretical survey of these interrelations is accompanied by comparing the performance on synthetic random data to the performance on data from different natural environments.
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Binfort T. O.; Levitt T. S.: Model-based Recognition of Objects in Complex Scenes. In: ARPA (Ed.): Image Understanding Workshop 1994 (Montery) Morgan Kaufman, San Franzisco, 1994, pp 149–155.
Dickinson S. J.; Pentland A. P.; Rosenfeld A.: From Volumes to Views: An Approach to 3-D Object Recognition. CVIGP:IU, Vol. 55, No. 2, 1992, pp 130–154.
Gruen A., Baltsavias E.P., Henricsson O.: Automatic extraction of man-made objects from aerial and space images (II). Birkhaeuser, Basel, 1997
Hermiston K. J.; Booth D. M.; Foulkes S. B.; Reno A. L.: Pose Estimation and Recognition of Ground Vehicles in Aerial Reconnaissance Imagery. In: Jain K.; Venkatesh S.; Lovell B. C. (Eds.): ICPR’98, IEEE, Los Alamitos, 1998, pp. 578–582.
Lloyd E.: Probability. In: Ledermann W.: Handbook of Applicable Mathematics, Band II, John Wiley and Sons, Chichester, 1980.
Matsuyama T.; Hwang V. S.: Sigma A Knowledge-Based Aerial Image Understanding System, Plenum Press, New York, 1990.
Michaelsen E.: 3D Coordinate Grammars. In: Girod B.; Niemann H.; Seidel H.-P. (Eds.): 3D Image Analysis and Synthesis’ 96, Infix, Sankt Augustin, 1996, pp. 81–85.
Michaelsen E.; Stilla U.: Remarks on the Notation of Coordinate Grammars. In: Advances in Pattern Recognition, Joint IAPR Workshops SSPR’98 and SPR’98 in Sydney, Sringer, Berlin, 1998, pp 421–428.
Niemann H.: Pattern Analysis and Understanding, Springer, Berlin, 1990.
Nilsson N. J.: Principles of Artificial Intelligence. Tioga Publ, Palo Alto, 1980 (or Springer, Berlin, 1982).
Parodi P.; Lancewicki R.; Vijh A.; Tsotsos J. K.: Empirically-derived estimates of the complexity of labeling line drawings of polyhedral scenes. AI, Vol. 105, 1998, pp 47–75.
Stilla U.: Map-aided Structural Analysis of Aerial Images. ISPRS Journal of Photo-grammetry and Remote Sensing, Vol 50, 1995, pp 3–10.
Stilla U.; Michaelsen E.; Luetjen K.: Structural 3D-Analysis of Aerial Images with a Blackboard-based Production System. In: Gruen A.; Kuebler O.; Agouris P.: Automatic Extraction of Man-Made Objects from Aerial and Space Images, (Ascona Workshop der ETH), Birkhäuser, Basel, 1995, pp 53–62.
Stilla U.; Michaelsen E.; Luetjen K.: Automatic Extraction of Buildings from Aerial Images. In: Leberl F.; Kalliany R.; Gruber M.: Mapping Buildings, Roads and other Man-Made Structures from Images, (Proceedings IAPR TC-7 Workshop, Graz, 1996), Oldenbourg, Wien, 1997, pp 229–244.
Stilla U.; Michaelsen E.: Semantic Modeling of Man-Made Objects by Production Nets. In: Gruen A.; Baltsavias E. P.; Henricsson O.: Automatic Extraction of Man-Made Objects from Aerial and Space Images II, Birkhäuser, Basel, 1997, pp 43–52.
Wang P. S. P.: Parallel Matching of 3D Articulated Object Recognition. Int. Journ. of Pattern Recognition and Artificial Intelligence, Vol 13, 1999, pp 431–444.
Wolfson H. J.: Model Based Object Recognition by Geometric Hashing. In: Faugeras O.: Computer Vision-ECCV90, Springer, Berlin, pp 526–536.
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Michaelsen, E., Stilla, U. (2000). Assessing the Computational Effort for Structural 3D Vehicle Recognition. In: Ferri, F.J., Iñesta, J.M., Amin, A., Pudil, P. (eds) Advances in Pattern Recognition. SSPR /SPR 2000. Lecture Notes in Computer Science, vol 1876. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44522-6_37
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DOI: https://doi.org/10.1007/3-540-44522-6_37
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