Abstract
We propose a new imaging method that achieves an ultra-shallow depth of field (DoF) to clearly visualize a particular depth in a 3-D scene. The key optical device consists of a pair of faced paraboloidal mirrors with holes around their vertexes. In the device, a lens-less image sensor is set at one side of their holes and an object is set at the opposite side. The characteristic of the device is that the shape of the point spread function varies depending on both the positions of the target 3-D point and the image sensor. By leveraging this characteristic, we reconstruct a clear image for a particular depth by solving a linear system involving position-dependent point spread functions. In experiments, we demonstrate the effectiveness of the proposed method using both simulation and an actually developed prototype imaging system.
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This work was supported by JSPS Grant-in-Aid for Research Activity Start-up Grant Number 16H06982.
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Nishi, R., Aoto, T., Kawai, N., Sato, T., Mukaigawa, Y., Yokoya, N. (2017). Ultra-Shallow DoF Imaging Using Faced Paraboloidal Mirrors. In: Lai, SH., Lepetit, V., Nishino, K., Sato, Y. (eds) Computer Vision – ACCV 2016. ACCV 2016. Lecture Notes in Computer Science(), vol 10113. Springer, Cham. https://doi.org/10.1007/978-3-319-54187-7_8
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DOI: https://doi.org/10.1007/978-3-319-54187-7_8
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