Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Enhancement of 3D image resolution in computational integral imaging reconstruction by a combination of a round mapping model and interpolation methods

원형매핑 모델과 보간법을 복합 사용하는 컴퓨터 집적 영상 복원 기술에서 3D 영상의 해상도 개선

  • 신동학 (동서대학교 영상콘텐츠학과) ;
  • 유훈 (상명대학교 디지털미디어학부)
  • Published : 2008.10.30
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Abstract

In this paper, we propose a novel method to improve the visual quality of reconstructed images for 3D pattern recognition based on the computational integral imaging reconstruction (CIIR). The proposed CIIR method provides improved 3D reconstructed images by superimposing magnified elemental images by a combination of a round mapping model and image interpolation algorithms. To objectively evaluate the proposed method, we introduce an experimental framework for a computational pickup process and a CIIR process using a Gaussian function and evaluate the proposed method. We also carry out experiments on 3D objects and present their results.

본 논문에서는 컴퓨터 집적 영상 복원(CIIR) 기법 기반의 3D 패턴 인식 응용을 위해서 평 면 3D 복원 영상의 해상도를 향상시키는 새로운 방식을 제안한다. 제안하는 방식에서는 ClIR에서 각각의 요소 영상에 대해서 원형 매핑 모델과 보간법을 복합사용하여 확대 중첩을 통해 향상된 3D 영상을 복원한다. 제안하는 방식에 대해서 정확한 CIIR 방식의 객관적인 해석을 위해서 Gaussian 영상을 이용한 테스트 모델을 설명하고 제안하는 방식에 대해서 성능평가를 수행한다. 그리고 3차원 물체에 대한 컴퓨터 복원 실험을 수행하고 그 결과를 보고한다.

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References

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