한국게임학회 논문지 (Journal of Korea Game Society)

  • 제20권6호
  • /
  • Pages.43-52
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  • 2020
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  • 1598-4540(pISSN)
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  • 2287-8211(eISSN)
한국게임학회 (Korea Game Society)
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큐브맵 비디오에서 칼만 필터를 사용한 빠른 패턴 추적

Fast Pattern Tracking in Cubemap Video Using Kalman Filter

  • 김기식 (인천대학교 컴퓨터공학부) ;
  • 박종승 (인천대학교 컴퓨터공학부)
  • Kim, Ki-Sik (Dept. of Computer Science and Engineering, Incheon National University) ;
  • Park, Jong-Seung (Dept. of Computer Science and Engineering, Incheon National University)
  • 투고 : 2020.10.26
  • 심사 : 2020.12.11
  • 발행 : 2020.12.20
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초록

본 논문에서는 360도 VR을 위한 큐브맵 비디오 환경에서 패턴의 위치 예측을 사용한 빠른 패턴 추적 방법을 제안한다. 구면 큐브맵 프레임은 6면의 텍스처를 가지므로 패턴 탐색도 6면 텍스처에 대해서 모두 수행해야 하므로 평면 프레임의 경우보다 매우 느리다. 본 논문에서는 이러한 한계점을 극복하기 위해 칼만 필터를 활용하여 패턴의 향후 위치를 예측하고 패턴이 존재할 가능성이 큰 텍스처만 탐색하여 탐색 영역을 축소하는 방법을 제안한다. 실험 결과, 제안하는 시스템은 6면을 모두 탐색하는 방법보다 월등히 빠르게 수행하면서 정확한 패턴 인식 성능을 보였다.

This paper presents a fast pattern tracking method using location prediction in cubemap video for 360-degree VR. A spherical cubemap frame has six face textures and searching a pattern is much slower than a flat image. To overcome the limitation, we propose a method of predicting the location of target pattern using Kalman filter and reducing the search area by considering only textures of predicted location. The experimental results showed that the proposed system is much faster than the previous method of searching all six faces and also gives accurate pattern tracking performance.

키워드

참고문헌

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