International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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A Study on the Quality of Photometric Scanning Under Variable Illumination Conditions

  • Jeon, Hyoungjoon (Department of Plasma Bio Display, Kwangwoon University) ;
  • Hafeez, Jahanzeb (Graduate School of Information and Contents, Kwangwoon University) ;
  • Hamacher, Alaric (Graduate School of Information and Contents, Kwangwoon University) ;
  • Lee, Seunghyun (Department of Plasma Bio Display, Kwangwoon University) ;
  • Kwon, Soonchul (Department of Plasma Bio Display, Kwangwoon University)
  • Received : 2017.11.15
  • Accepted : 2017.12.12
  • Published : 2017.12.31
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Abstract

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 $600(H){\times}1,000(V){\times}600(D)$. 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.

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