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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
- 2008.6
- 수록면
- 88 - 92 (5page)
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초록· 키워드
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This paper discusses a photon-counting linear discriminant analysis (LDA) with computational integral imaging (Ⅱ). The computational II method reconstructs three-dimensional (3D) objects on the reconstruction planes located at arbitrary depth-levels. A maximum likelihood estimation (MLE) can be used to estimate the Poisson parameters of photon counts in the reconstruction space. The photon-counting LDA combined with the computational Ⅱ method is developed in order to classify partially occluded objects with photon-limited images. Unknown targets are classified with the estimated Poisson parameters while reconstructed irradiance images are trained. It is shown that a low number of photons are sufficient to classify occluded objects with the proposed method.
목차
Ⅰ. INTRODUCTION
Ⅱ. RECONSTRUCTION WITH THE COMPUTATIONAL Ⅱ METHOD
Ⅲ. PHOTON COUNTING LDA IN THE RECONSTRUCTION SPACE
Ⅳ. EXPERIMENTAL AND SIMULATION RESULTS
Ⅴ. CONCLUSIONS
ACKNOWLEDGEMENT
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2009-425-014816311