完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.author | He, Xiangjian | |
| dc.contributor.author | Hintz, Tom | |
| dc.contributor.author | Szewcow, Ury | |
| dc.date.accessioned | 2009-08-23T04:39:57Z | |
| dc.date.accessioned | 2020-05-25T06:23:47Z | - |
| dc.date.available | 2009-08-23T04:39:57Z | |
| dc.date.available | 2020-05-25T06:23:47Z | - |
| dc.date.issued | 2006-10-19T15:29:26Z | |
| dc.date.submitted | 1998-12-17 | |
| dc.identifier.uri | http://dspace.lib.fcu.edu.tw/handle/2377/2016 | - |
| dc.description.abstract | Contour segmentation plays an important role in occluded object recognition. In this paper, we propose a segmentation method which is robust with respect to noise. Our approach is based on the curvature zero-crossing points extracted from outermost contours of mulit-scale images. By using the segmentation scheme, a matching procedure for object recognition with occlusion is presented. This requires an affine integral invariant representation of contours which have an arclength as parameter. | |
| dc.description.sponsorship | 成功大學,台南市 | |
| dc.format.extent | 7p. | |
| dc.format.extent | 462789 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | zh_TW | |
| dc.relation.ispartofseries | 1998 ICS會議 | |
| dc.subject | Scale-space Theory | |
| dc.subject | Object Recognition | |
| dc.subject | Contour Extraction | |
| dc.subject.other | Image Segmentation | |
| dc.title | MULTI-SCALE CONTOUR SEGMENTATION AND OCCLUDED OBJECT RECOGNITION | |
| 分類: | 1998年 ICS 國際計算機會議 | |
文件中的檔案：
| 檔案 | 描述 | 大小 | 格式 | |
|---|---|---|---|---|
| ce07ics001998000084.pdf | 451.94 kB | Adobe PDF | 檢視/開啟 |
在 DSpace 系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。