Evaluating contour segment descriptors
作者: Cong YangOliver TiebeKimiaki ShirahamaEwa ŁukasikMarcin Grzegorzek
作者单位: 1University of Siegen
2Institute of Computing Science, Poznan University of Technology
3University of Economics in Katowice
刊名: Machine Vision and Applications, 2017, Vol.28 (3-4), pp.373-391
来源数据库: Springer Nature Journal
DOI: 10.1007/s00138-017-0823-9
关键词: Contour segmentContour segment descriptorOpen curve matchingObject retrieval
原始语种摘要: Contour segment (CS) is the fundamental element of partial boundaries or edges in shapes and images. So far, CS has been widely used in many applications, including object detection/matching and open curve matching. To increase the matching accuracy and efficiency, a variety of CS descriptors have been proposed. A CS descriptor is formed by a chain of boundary or edge points and is able to encode the geometric configuration of a CS. Because many different CS descriptors exist, a structured overview and quantitative evaluation are required in the context of CS matching. This paper assesses 27 CS descriptors in a structured way. Firstly, the analytical invariance properties of CS descriptors are explored with respect to scaling, rotation and transformation. Secondly, their distinctiveness...
全文获取路径: Springer Nature  (合作)
影响因子:1.103 (2012)

  • matching 匹配
  • segment 
  • contour 轮廓
  • descriptor 描述符
  • retrieval 检索
  • rotation 旋转
  • encode 编成密码
  • geometric 凡何
  • overview 概观
  • scaling 按比例缩小