Abstract
In this paper, we present an <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> -ocular imaging system with tilted image sensors to improve the depth resolution for objects under fixed system resource constraints. A nonplanar arrangement of image sensors enables one to improve the system performance due to the increase in the common field of view (FOV). We analyze the depth resolution based on the two point sources resolution criterion as a function of sensing parameters such as the number of cameras, the number of pixels, parallax, pixel size, and focal length. We carry out Monte Carlo simulations in the analysis. The results indicate that the proposed method may improve the common FOV zone and thus provide improved depth resolution for <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> -ocular imaging system when the objects are not very far from the sensors.
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