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차량분리를 위한 스테레오매칭 데이터의 클러스터링

Clustering of Stereo Matching Data for Vehicle Segmentation

  • 이기용 (전남대학교 산업공학과(시스템자동화 연구소)) ;
  • 이준웅 (전남대학교 산업공학과(시스템자동화 연구소))
  • 투고 : 2010.01.12
  • 심사 : 2010.06.22
  • 발행 : 2010.08.01

초록

To segment instances of vehicle classes in a sparse stereo-matching data set, this paper presents an algorithm for clustering based on DP (Dynamic Programming). The algorithm is agglomerative: it begins with each element in the set as a separate cluster and merges them into successively larger clusters according to similarity of two clusters. Here, similarity is formulated as a cost function of DP. The proposed algorithm is proven to be effective by experiments performed on various images acquired by a moving vehicle.

키워드

참고문헌

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