한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제21권2호
  • /
  • Pages.138-146
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  • 2018
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  • 1229-7771(pISSN)
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  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
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픽셀단위 상대적 신뢰도와 일치상관계수를 이용한 영상의 깊이 추정 알고리즘

An Image Depth Estimation Algorithm based on Pixel-wise Confidence and Concordance Correlation Coefficient

  • Kim, Yeonwoo (Dept. of Electronics and Computer Eng, Chonnam National University) ;
  • Lee, Chilwoo (School of Electronic and Computer Eng, Chonnam National University)
  • 투고 : 2018.01.12
  • 심사 : 2018.01.24
  • 발행 : 2018.02.28
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초록

In this paper, we describe an algorithm for extracting depth information from a single image based on CNN. When acquiring three-dimensional information from a single two-dimensional image using a deep-learning technique, it is difficult to accurately predict the edge portion of the depth image because it is a part where the depth changes abruptly. in this paper, we introduce the concept of pixel-wise confidence to take advantage of these characteristics. We propose an algorithm that estimates depth information from a highly reliable flat part and propagates it to the edge part to improve the accuracy of depth estimation.

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참고문헌

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