Earticle

현재 위치 Home

Further Automating and Refining the Construction and Recognition of Facial Composite Images

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJBSBT) 바로가기
  • 간행물
    International Journal of Bio-Science and Bio-Technology SCOPUS 바로가기
  • 통권
    vol.1 no.1 (2009.12)바로가기
  • 페이지
    pp.59-74
  • 저자
    Charlie Frowd, Clare Lee, Anna Petkovic, Kamran Nawaz, Yasmeen Bashir
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A147447

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

원문정보

초록

영어
Bringing a criminal to justice is a labour intensive process. In the current paper, we explored ways of reducing the police time involved with the construction and identification of facial composites (these are images of wanted persons made by witnesses and victims of crime). A software system called EvoFIT was used that ‘evolved’ a composite by the repeated selection and breeding of complete faces. In the first part, a standalone version of EvoFIT was designed and evaluated in the laboratory. This performed similarly to the full system that normally requires several hours of a police officer’s time. It was also found that composite quality did not change overall, although was more variable in one of the measures used, if users were asked to make fast rather than slow face selection judgements. In latter work, a small database of composites was built that could be used to search for matching identities. It was found that pixel intensity (texture) information was valuable for composites produced from a traditional ‘feature’ based system, but feature shape information was valuable for composites produced from EvoFIT. The results show promise for the automated construction and identification of composite images.

목차

Abstract
 1. Introduction
  1.1. Facial composite systems
 2. Automating composite construction
  2.1. Standalone EvoFIT
  2.2. System evaluation
  2.3. Discussion
  2.4. Face selection speed
  2.6. Results
  2.7. Discussion
 3. A searchable database for composites
  3.1. Metrics for searching
  3.2. Method of evaluation
  3.3. Results
  3.4. Discussion
 4. General Discussion
 5. Conclusion
 6. Answers
 References

저자

  • Charlie Frowd [ University of Central Lancashire ]
  • Clare Lee [ University of Central Lancashire ]
  • Anna Petkovic [ University of Central Lancashire ]
  • Kamran Nawaz [ University of Central Lancashire ]
  • Yasmeen Bashir [ University of Central Lancashire ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJBSBT) [Science & Engineering Research Support Center, Republic of Korea(IJBSBT)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Bio-Science and Bio-Technology
  • 간기
    격월간
  • pISSN
    2233-7849
  • 수록기간
    2009~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Bio-Science and Bio-Technology vol.1 no.1

    피인용수 : 0(자료제공 : 네이버학술정보)

    함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.

      페이지 저장