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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2011.6
- 수록면
- 118 - 129 (12page)
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초록· 키워드
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In this paper, we suggest a new camera capturing and synthesizing algorithm with the multi-captured left and right images for the better comfortable feeling of 3D depth and also propose 3D image capturing hardware system based on the this new algorithm. We also suggest the simple control algorithm for the calibration of camera capture system with zooming function based on a performance index measure which is used as feedback information for the stabilization of focusing control problem. We also comment on the theoretical mapping theory concerning projection under the assumption that human is sitting 50㎝ in front of and watching the 3D LCD screen for the captured image based on the modeling of pinhole Camera. We choose 9 segmentations and propose the method to find optimal alignment and focusing based on the measure of alignment and sharpness and propose the synthesizing fusion with the optimized 9 segmentation images for the best 3D depth feeling.
목차
Abstract
1. Introduction
2. Mathematical Preliminary
3. Experimental Environment
4. Fusion Based On Interpolation
5. Simulation
6. Conclusion
References
참고문헌 (10)
참고문헌 신청
1. [학술대회논문] - C. Zhang / 2004 / View‐dependent Nonuniform Sampling for Image‐based Rendering / ICIP 2004
2. [학술지(정기간행물)] - D. Scharstein / 2002 / A taxonomy and evaluation of dense two‐frame stereo correspondence algorithms / International Journal of Computer Vision 47 (1) : 7 ~ 42
3. [학술대회논문] - I.J.Cox / 1995 / Dynamic histogram warping of image pairs for cinstant image brightness / IEEE International Conference on Image Processing : 366 ~ 369
4. [단행본] - Fleet, D.J. / 2005 / Optical flow estimation, in Mathematical models for Computer Vision: The Handbook / Springer
5. [학술지(정기간행물)] - J.L. Barron / 1994 / Perfomance of optical flow techniques / International Journal of Computer Vision 12 (1) : 43 ~ 77
2. [학술지(정기간행물)] - D. Scharstein / 2002 / A taxonomy and evaluation of dense two‐frame stereo correspondence algorithms / International Journal of Computer Vision 47 (1) : 7 ~ 42
3. [학술대회논문] - I.J.Cox / 1995 / Dynamic histogram warping of image pairs for cinstant image brightness / IEEE International Conference on Image Processing : 366 ~ 369
4. [단행본] - Fleet, D.J. / 2005 / Optical flow estimation, in Mathematical models for Computer Vision: The Handbook / Springer
5. [학술지(정기간행물)] - J.L. Barron / 1994 / Perfomance of optical flow techniques / International Journal of Computer Vision 12 (1) : 43 ~ 77
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UCI(KEPA) : I410-ECN-0101-2020-559-001259423