Monocular depth estimation remains a challenging problem, despite significant advances in
neural network architectures that leverage pictorial depth cues alone. Inspired by depth from …

Background Three main ingredients of action research are visual features, machine learning
methodology, and datasets. Recent years have witnessed a tremendous increase in …

We present a method that takes as input a single dual-pixel image, and simultaneously
estimates the image's defocus map---the amount of defocus blur at each pixel---and …

Smoothing and sharpening are two fundamental image processing operations. The latter is
usually related to the former through the unsharp masking algorithm. In this paper, we …

BACKGROUND Myopia, as one of the common ocular diseases, often occurs in
adolescence. In addition to the harm from itself, it may also lead to serious complications …

This paper addresses the light field saliency detection problem via a multiple cue integration
framework. By reinterpreting the usage of dark channels in estimating the amount of …

Shape from focus is an accurate, but relatively time-consuming, 3D profilometry technique
(compared to eg, laser triangulation or fringe projection). This is the case because a large …

Shape-from-Focus (SFF) methods have been developed for about twenty years. They able
to obtain the shape of 3D objects from a series of partially focused images. The plane to …

Imaging or measurement methods and systems including methods and systems for finding
the three-dimensional orientation and position of multiple dipole-like particles and single …

This article investigates spectral chromatic and spatial defocus aberration in a monocular
hyperspectral image (HSI) and proposes methods on how these cues can be utilized for …