.png){kind=icon}
Return
Three dimensional visualization by photon counting computational Integral Imaging
.png){kind=icon}
OA
AI
DOI：10.1364/OE.16.004426.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this paper, we present three dimensional (3D) object reconstruction using photon-counted elemental images acquired by a passive 3D Integral Imaging (II) system. The maximum likelihood (ML) estimator is derived to reconstruct the irradiance of the 3D scene pixels and the reliability of the estimator is described by confidence intervals. For applications in photon scarce environments, our proposed technique provides 3D reconstruction for better visualization as well as significant reduction in the computational burden and required bandwidth for transmission of integral images. The performance of the reconstruction is illustrated qualitatively and compared quantitatively with Peak to Signal to Noise Ratio (PSNR) criterion. (C) 2008 Optical Society of America.
Keywords:
OBJECT RECOGNITION
RECONSTRUCTION
PERFORMANCE
Journal
IF:
3.3
Papers:
6.1W
Citations:
14.3W
Organization
Cited Papers
ShareSaveShareSaveShareSaveNon-invasive intraventricular pressure differences estimated with cardiac MRI in subjects without heart failure and with heart failure with reduced and preserved ejection fraction.png)
Open Heart
OAAI
Open HeartIF0
OAAIShareSaveShareSaveShareSaveThree-dimensional distortion-tolerant object recognition using photon-counting integral imagingOPTICS EXPRESSOAAI
OPTICS EXPRESSIF3.3
OAAIShareSaveShareSave
View more