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Research
HoloCam | LDL | 3DMA | HEW | OFM | P-DH-PALM | DH-PALM | Locate | Track | DH-PSF| QSIP
3D Imager Design through Multiple Aperture Optimization
3D imagers exhibit a tradeoff between device size and
accuracy. We design compact and accurate 3D imagers by optimizing
subsystem parameters using a multiple-aperture image simulator and an
accuracy estimator operating on distorted views. In this paradigm, each
subsystem records different information about the scene. The difference
could be in viewing angle, optical transfer function, polarization, or
spectral properties of the subsystems. We find a high-accuracy
multiple-aperture configuration that minimizes a quality metric based on
3D position estimation uncertainties. We estimate such 3D uncertainties
by estimating object positions from simulated multiple-aperture
responses using a closed-form solution for position
estimation and a Monte Carlo simulation for uncertainty estimation,
after accounting for physical imaging effects such as diffraction,
aberrations, distortion, quantization, and noise. [See
COSI 2011]
