An estimation-based approach for range image segmentation: on the reliability of primitive extraction
作者: Guoyu WangZweitze HoukesGuangrong JiBing ZhengXin Li
作者单位: 1Department of Electrical Engineering, Ocean University of Qingdao, 266003, Qingdao, People's Republic of China
2Department of Electrical Engineering, University of Twente, 7500 AE Enschede, The Netherlands
刊名: Pattern Recognition, 2003, Vol.36 (1), pp.157-169
来源数据库: Elsevier Journal
DOI: 10.1016/S0031-3203(02)00050-X
关键词: SegmentationPrimitive extractionUncertaintyOptimal descriptionRegion growingQuadrics
原始语种摘要: Abstract(#br)This paper presents a new algorithm for estimation-based range image segmentation. Aiming at surface-primitive extraction from range data, we focus on the reliability of the primitive representation in the process of region estimation. We introduce an optimal description of surface primitives, by which the uncertainty of a region estimate is explicitly represented with a covariance matrix. Then the reliability of an estimate is interpreted in terms of “measure of uncertainty”. The segmentation approach follows the region-growing scheme, in which the regions are estimated in an iterative way. With the probabilistic model proposed in this paper, surface homogeneity is defined and tested by an optimal criterion. A notable feature of the algorithm is that the order of merging is...
全文获取路径: Elsevier  (合作)
影响因子:2.632 (2012)

  • segmentation 分段
  • reliability 可靠性
  • image 
  • estimation 估计
  • extraction 提取
  • quadric 二次的
  • primitive 原始的
  • growing 饲育
  • probabilistic 概率的
  • merging 归并