Vision-based Camera Localization using DEM and Mountain Image

Jeonghee Cha

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 : Computer Science

Jeonghee Cha ¹

¹ 백석문화대학교

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.
KEYWORDS

DEM(Digital Elevation Model) , Invariance feature , Similarity Evaluation Function , Graham Search Method , Camera Extrinsic Parameter
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