22 0

영상 분할과 SIFT를 이용한 다중 객체 검출

Title
영상 분할과 SIFT를 이용한 다중 객체 검출
Other Titles
Multi-Object Detection Using Image Segmentation and SIFT
Author
문영식
Issue Date
2006-11
Publisher
대한전자공학회
Citation
대한전자공학회 2006년도 추계학술대회 논문집Ⅱ, Page. 957 - 960
Abstract
In this paper, a novel method for detecting multi-object using image segmentation and SIFT descriptor. Our research consists of four steps. In the first step, an image is segmented into several regions by JSEG algorithm. In the second step, for segmented regions, dominant colors and the corresponding color histogram are constructed. In the third step, by using dominant color and color histogram, candidate regions where objects may exist are identified. In the final step, real object regions are detected from candidate regions by SIFT matching. As experimental results, the proposed method shows the improved performance over exist ones.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE06324494&language=ko_KRhttp://repository.hanyang.ac.kr/handle/20.500.11754/108777
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE