지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.6
- 수록면
- 1,660 - 1,663 (4page)
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초록· 키워드
오류제보하기
A novel 1lens-1sensor ToF color/depth sensing architecture is proposed and a series of 3D image processing algorithms are proposed for 3D stereoscopic image synthesis.
1lens-1sensor architecture facilitates the implementation of smaller, cheaper and lower power consuming 3D sensors and solves the optical sensor alignment problem that is a critical weakness of conventional 2 lens or 2 sensor architecture.
The acquisition of the highly accurate depth image aligned to corresponding color image enables us to create high resolution 3D video. First, an adaptive block kernel method for Non Local Means Filtering is proposed to enhance depth accuracy. Secondly, local edge region correlation model between Low and high resolution images are constructed for depth upsampling keeping edge sharpness. Finally, occlusion boundary labeling and fore/back layering method are proposed for occlusion in-painting.
1lens-1sensor architecture facilitates the implementation of smaller, cheaper and lower power consuming 3D sensors and solves the optical sensor alignment problem that is a critical weakness of conventional 2 lens or 2 sensor architecture.
The acquisition of the highly accurate depth image aligned to corresponding color image enables us to create high resolution 3D video. First, an adaptive block kernel method for Non Local Means Filtering is proposed to enhance depth accuracy. Secondly, local edge region correlation model between Low and high resolution images are constructed for depth upsampling keeping edge sharpness. Finally, occlusion boundary labeling and fore/back layering method are proposed for occlusion in-painting.
목차
Abstract
Ⅰ. 서론
Ⅱ. 본론
Ⅲ. 제안 방식 평가
Ⅳ. 결론 및 향후 연구 방향
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UCI(KEPA) : I410-ECN-0101-2015-560-001038120