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White Papers

Evaluating the Impact of Wide-Angle Lens Distortion on Learning-based Depth Estimation

Lenses

Most computer vision research focuses on narrow angle lenses and is not adapted to super-wide-angle (aka spherical) lenses.

Enhancing learning-based computer vision algorithms accuracy in sUAS using navigation wide-angle cameras

Uncategorized

The new generation of sUAS (small Unmanned Aircraft Systems) aims to extend the range of scenarios in which sense-and-avoid functionality and autonomous operation can be used.

Freeform wide-angle camera lens enabling mitigable distortion

Uncategorized

Allowing natural scenes as well as maximizing field of view (FoV) can benefit from the minimization of distortion for the wide-angle camera.

Methodology to design mobile-based camera lenses using freeform surfaces

White Papers, White Papers, White Papers, White Papers, White Papers, White Papers

Freeform technology is one of the most promising solutions to enhance the performance of optical systems.

Learning-based depth estimation on wide angle images with non linear distortion

Uncategorized

We developed a Convolutional Neural Network to estimate depth on wide-angle images using panomorph lens with controlled distortion. We simulated three different lens model and compared their performances based on their zone of augmented resolution.

On the modelling of the optical properties of a metasurface composed of nanofins

Uncategorized

The phase shift imparted by a dielectric nanofin metasurface can be modelled following a semi-analytical assessment of the guiding properties. The model can be seen as a correction to the typically used Pancharatnam-Berry model.
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