한국산업정보학회논문지 (Journal of Korea Society of Industrial Information Systems)

한국산업정보학회 (Korea Society of Industrial Information Systems)
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구형 객체의 깊이 영상 부호화 방법

Depth Video Coding Method for Spherical Object

  • 권순각 (동의대학교 컴퓨터소프트웨어공학과) ;
  • 이동석 (동의대학교 컴퓨터소프트웨어공학과) ;
  • 박유현 (동의대학교 컴퓨터소프트웨어공학과)
  • 투고 : 2016.12.06
  • 심사 : 2016.12.14
  • 발행 : 2016.12.30
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초록

본 논문은 구형 객체가 촬영된 깊이 영상에서 깊이 정보를 통하여 제일 근접한 구를 찾아내어 깊이 영상을 부호화하는 방법을 제안한다. 블록단위로 분할된 깊이 영상에 대해 최소자승법을 통해 촬영된 구형 객체와 제일 근접한 구의 형태를 찾는다. 그 후 찾아낸 구의 형태로 깊이 값을 예측하고, 측정된 깊이 값과의 오차를 통해 깊이 영상을 부호화한다. 또한, 블록 내의 부호화된 각 깊이 화소들과 찾아낸 구의 인자 정보를 같이 부호화한다. 제안된 방법으로 구형 객체에 대해 기존 DPCM 방법보다 최대 81% 이상의 부호화 효율 향상이 이루어졌다.

In this paper, we propose a method of depth video coding to find the closest sphere through the depth information when the spherical object is captured. We find the closest sphere to the captured spherical object using method of least squares in each block. Then, we estimate the depth value through the found sphere and encode the depth video through difference between the measured depth values and the estimated depth values. Also, we encode factors of the estimated sphere with encoded pixels within the block. The proposed method improves the coding efficiency up to 81% compared to the conventional DPCM method.

키워드

참고문헌

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피인용 문헌

  1. 깊이 영상 부호화에서 신축 움직임 추정 방법 vol.20, pp.11, 2016, https://doi.org/10.9717/kmms.2017.20.11.1711
  2. 표면 모델링을 통한 깊이 영상 내 측정 실패 화소 보정 방법 vol.24, pp.5, 2019, https://doi.org/10.9723/jksiis.2019.24.5.001
  3. Ellipsoid Modeling Method for Coding of Face Depth Picture vol.6, pp.4, 2016, https://doi.org/10.33851/jmis.2019.6.4.245