Earticle

초록

영어

Shape template matching is an important approach in object detection and recognition. In this paper, we propose a fast and novel object detection method, which represents edge map contours with salient points and retrieves the target object by using a backtracking method with two stages from coarse matching to fine matching. Our method has two main contributions. One is we propose the way to represent contour structure with salient points. The other is that the object detection method proposed can directly operate on the real images, which improves its practicability. According to the experimental results, the proposed approach improves the speed than previous works.

목차

Abstract
 1. Introduction
 2. Course Matching Phase
  2.1. Salient Point Extraction
  2.2. Ellipse Support Region Model
  2.3. Distance Transform
 3. Fine Matching Phase
  3.1. Shape Contour Descriptor
  3.2. Shape Similarity Comparison
 4. Experiments and Discussions
 5. Conclusion
 References

키워드

저자

• Yumin Dou [ School of Computer Science and Engineering Center for Robotics, University of Electronic Science and Technology of China Chengdu 611731, P.R. China ]
• Mao Ye [ School of Computer Science and Engineering Center for Robotics, University of Electronic Science and Technology of China Chengdu 611731, P.R. China ]
• Pei Xu [ School of Computer Science and Engineering Center for Robotics, University of Electronic Science and Technology of China Chengdu 611731, P.R. China ]
• Lishen Pei [ School of Computer Science and Engineering Center for Robotics, University of Electronic Science and Technology of China Chengdu 611731, P.R. China ]
• Zhenghua Liu [ School of Computer Science and Engineering Center for Robotics, University of Electronic Science and Technology of China Chengdu 611731, P.R. China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605