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Recognition of urban scene using silhouette of buildings and city map database

  • Peilin Liu
  • Wei Wu
  • Katsushi Ikeuchi
  • Masao Sakauchi
Poster Session II
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1352)

Abstract

This paper proposes an approach for understanding urban scenes by recognizing key buildings in silhouette using model-based object recognition scheme. A city map-database is used to build a world model, based on the information of location and orientation of the video camera measured by GPS. The general correspondence hypotheses between the line vectors extracted from the silhouette of ground objects and the world model are established by using dynamic programming technique. The general correspondence hypotheses are verified and modified according to the local position relations. The approach was successfully tested in recognition of the buildings in real scenes.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Peilin Liu
    • 1
  • Wei Wu
    • 1
  • Katsushi Ikeuchi
    • 1
  • Masao Sakauchi
    • 1
  1. 1.University of TokyoMinato-ku TokyoJPN

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