文章基本信息

标题：主曲率を用いた確率的手法に基づく距離画像の分割
本地全文：下载
作者：平湯秀和 ; 王彩華 ; 棚橋英樹等
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：2002
卷号：56
期号：4
页码：628-635
DOI：10.3169/itej.56.628
出版社：The Institute of Image Information and Television Engineers
摘要：We propose a new method for modeling complex range data using a parametric model. We first compute local surface curvatures by quadratic fitting of a local surfaces, and then extract the curved surfaces and plane regions from the range data by examining the probability distribution of the local surface curvatures. After extracting these regions, one shape can be divided into multiple regions using the characteristics of the feature space. Then, after the parameters of each region have been estimated, the fitting error between the regions of the integration candidates are calculated. Next, by applying statistical testing techniques to the fitting error, we establish the integration criteria and integrate the regions that satisfy the criteria. Using this process, it is possible to perform a robust surface extraction. Experimental results on real range data show the effectiveness of the proposed method.
关键词：Local surface fitting;Feature space;Segmentation;Fitting error;Integration