영상매칭을 위한 특성정보 추출

Extraction of Characteristic Information for Image Matching

  • 이동천 (세종대학교 공과대학 지구정보공학과) ;
  • 염재홍 (세종대학교 공과대학 지구정보공학) ;
  • 김정우 (세종대학교 공과대학 지구정보공학) ;
  • 이용욱 (대한측량협회 측량정보기술연구원)
  • 발행 : 2004.04.01

초록

Image matching is fundamental process in photogrammetry and computer vision to identify and to measure corresponding features on the multiple images. Uniqueness of the matching entities and robustness of the algorithm are the key issues that have influence on quality of the matching result. The optimal solution could be obtained by utilizing appropriate matching entities in the first place. In this study, candidate matching points were extracted by interest operator, and an area-based matching method was applied with characteristics of the gray value distribution as the matching entities. The characteristic information is based on the concept of "intrinsic image" (or parameter image). The information was utilized as additional and/or complementary matching entities. Matching on interest points with the characteristic information resulted in high quality of matching because matching windows were created with surrounding pixels of the interest points that contain distinct and unique features. The experiment shows that matching quality and reliability increase by exploiting interest operator, and the characteristic information has potential to be matching entity.

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