상세정보
학술지
Moments Added Statistical Shape Model for Boundary Extraction
- 저자
- 최해철, 신호철, 이시웅, 고윤호
- 발행일
- 200912
- 출처
- IEICE Transactions on Information and Systems, v.E92-D no.12, pp.2524-2526
- ISSN
- 0916-8532
- 출판사
- 일본, 전자정보통신학회 (IEICE)
- 협약과제
- 09MR4100, 차세대DTV핵심기술개발(표준화연계)-무안경개인형3D방송기술개발(계속), 김진웅
- 초록
- In this paper, we propose a method for extracting an object boundary from a low-quality image such as an infrared one. To take full advantage of a training set, the overall shape is modeled by incorporating statistical characteristics of moments into the point distribution model (PDM). Furthermore, a differential equation for the moment of overall shape is derived for shape refinement, which leads to accurate and rapid deformation of a boundary template toward real object boundary. The simulation results show that the proposed method has better performance than conventional boundary extraction methods. Copyright © 2009 The Institute of Electronics, Information and Communication Engineers.
- KSP 제안 키워드
- Differential equation, Extraction method, Information and communication, Low-quality image, Point distribution model(PDM), Statistical characteristics, boundary extraction, simulation results, statistical shape model, training set