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Vision-based Camera Localization using DEM and Mountain Image

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2005, 10(6), pp.177-186
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Jeonghee Cha 1

1백석문화대학교

Candidate

ABSTRACT

In this paper, we propose vision-based camera localization technique using 3D information which is created by mapping of DEM and mountain image. Typically, image features for localization have drawbacks, it is variable to camera viewpoint and after time information quantity increases. In this paper, we extract invariance features of geometry which is irrelevant to camera viewpoint and estimate camera extrinsic parameter through accurate corresponding points matching by proposed similarity evaluation function and Graham search method. we also propose 3D information creation method by using graphic theory and visual clues, The proposed method has the three following stages; point features invariance vector extraction, 3D information creation, camera extrinsic parameter estimation. In the experiments, we compare and analyse the proposed method with existing methods to demonstrate the superiority of the proposed methods.

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