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Transformations and Their Analysis from a RGBD Image to Elemental Image Array for 3D Integral Imaging and Coding 원문보기

KSII Transactions on internet and information systems : TIIS, v.12 no.5, 2018년, pp.2273 - 2286  

Yoo, Hoon (Dept. Electronics, SangMyung University)

Abstract ▼ AI-Helper 아이콘AI-Helper

This paper describes transformations between elemental image arrays and a RGBD image for three-dimensional integral imaging and transmitting systems. Two transformations are introduced and analyzed in the proposed method. Normally, a RGBD image is utilized in efficient 3D data transmission although ...

주제어

#3D imaging   #computational integral imaging   #elemental image array   #RGBD image   #3D data coding  

AI 본문요약
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제안 방법

  • Those mappings and their analysis are not discussed yet in computational integral imaging although some existing systems had utilized a mapping method [12, 20-21]. Here, the contribution of this paper are that we define forward and backward mappings for conversion between a RGBD image and EIA with a set of whole optical parameters. Also we provides their analysis in terms of the processing time and visual quality of the reconstructed 3D images.
  • In this paper, we study the generation of elemental image array from a RGBD image and also introduce two mapping methods and their analysis. Generating EIA from a RGBD image requires a mapping method.
  • To do so, we carry out two experiments regarding computational speed and the hole-free condition. The first experiment is performed based on the computational speed according to the several variables to choose an efficient mapping method. The second experiment is carried out in terms of the image quality with the holes.
  • The first experiment is to measure the computational cost according to some key variables of the two mapping method. The key variables are the number of pixels in each elemental image and that of pixels in an object plane image or RGBD image, denoted by Ne and Np, respectively.
  • These experiments provide an experimental ratio to compare it with its theoretical ratio. To do so, we carry out two experiments regarding computational speed and the hole-free condition. The first experiment is performed based on the computational speed according to the several variables to choose an efficient mapping method.
  • According to this analysis, we can figure out which mapping method is more preferable to apply it to a certain 3D imaging system with a specific parameter set. To verify our methods and analysis, we carry out experiments with RGBD images in terms of the computational processing time and visual quality.

이론/모형

  • In this experiment, the hole-free condition is discussed in terms of the visual quality of the reconstructed integral images for both backward and forward mapping methods. The same test RGBD images shown in Fig.
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참고문헌 (26)

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