Passive depth estimation based on stereo or defocus relies on the presence of the texture
on an object to resolve its depth. Hence recovering the depth of a textureless object--for …

Particle size measurement is crucial in various applications, be it sizing droplets in inkjet
printing or respiratory events, tracking particulate ejection in hypersonic impacts or detecting …

There are primarily two classes of bio-inspired looming perception visual systems. The first
class employs hierarchical neural networks inspired by well-acknowledged anatomical …

Multispectral long-wave infrared (LWIR) ranging is a technique that estimates the distance to
the object based on wavelength-dependent absorption of LWIR light through the air. Prior …

Abstract The Depth from Defocus (DFD) imaging technique for measuring the size and
number concentration of particles in dispersed two-phase flows has up to now been …

A multi-object distance determination method can be achieved by 932? nm structured light
with one camera as the data receiver. The structured light generated by a liquid crystal on …

Depth from Focus estimates depth by determining the moment of maximum focus from
multiple shots at different focal distances, ie the Focal Stack. However, the limited sampling …

We propose depth from coupled optical differentiation, a low-computation passive-lighting
3D sensing mechanism. It is based on our discovery that per-pixel object distance can be …

The Depth from Defocus (DFD) imaging technique for measuring the size and number
concentration of particles in a dispersed two-phase flow has up to now been restricted to …

Deep co-design methods have been proposed to optimize simultaneously optical and
neural network parameters for many separate tasks such as high dynamic range, extended …