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A Study on the Quality of Photometric Scanning Under Variable Illumination Conditions

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence KCI 등재후보 바로가기
  • 통권
    Volume 6 Number 4 (2017.12)바로가기
  • 페이지
    pp.88-95
  • 저자
    Hyoungjoon Jeon, Jahanzeb Hafeez, Alaric Hamacher, Seunghyun Lee, Soonchul Kwon
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A332246

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원문정보

초록

영어
The conventional scan methods are based on a laser scanner and a depth camera, which requires high cost and complicated post-processing. Whereas in photometric scanning method, the 3D modeling data is acquired through multi-view images. This is advantageous compared to the other methods. The quality of a photometric 3D model depends on the environmental conditions or the object characteristics, but the quality is lower as compared to other methods. Therefore, various methods for improving the quality of photometric scanning are being studied. In this paper, we aim to investigate the effect of illumination conditions on the quality of photometric scanning data. To do this, 'Moai' statue is 3D printed with a size of 600 (H) × 1,000 (V) × 600 (D). The printed object is photographed under the hard light and soft light environments. We obtained the modeling data by photometric scanning method and compared it with the ground truth of 'Moai'. The 'Point-to-Point' method used to analyseanalyze the modeling data using open source tool 'CloudCompare'. As a result of comparison, it is confirmed that the standard deviation value of the 3D model generated under the soft light is 0.090686 and the standard deviation value of the 3D model generated under the hard light is 0.039954. This proves that the higher quality 3D modeling data can be obtained in a hard light environment. The results of this paper are expected to be applied for the acquisition of high-quality data.

목차

Abstract
 1. Introduction
 2. Photometric Scanning
 3. Experimental method
  3.1 Experiment procedure
  3.2 Experimental environment
  3.3 Performance evaluation method
 4. Results and discussion
 5. Conclusion
 Acknowledgement
 References

키워드

Photometric Scanning 3D Modeling Variable Illumination Conditions CloudCompare VisualSFM

저자

  • Hyoungjoon Jeon [ Department of Plasma Bio Display, Kwangwoon University, Seoul, Korea ]
  • Jahanzeb Hafeez [ Graduate School of Information and Contents, Kwangwoon University, Seoul, Korea ]
  • Alaric Hamacher [ Graduate School of Information and Contents, Kwangwoon University, Seoul, Korea ]
  • Seunghyun Lee [ Department of Plasma Bio Display, Kwangwoon University, Seoul, Korea ]
  • Soonchul Kwon [ Department of Plasma Bio Display, Kwangwoon University, Seoul, Korea ] Corresponding author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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