Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

We introduce end-to-end inverse design for multi-channel imaging, in which a nanophotonic
frontend is optimized in conjunction with an image-processing backend to extract depth …

Abstract Depth-from-focus (DFF) is a technique that infers depth using the focus change of a
camera. In this work, we propose a convolutional neural network (CNN) to find the best …

Detecting and tracking moving targets through foliage is difficult, and for many cases even
impossible in regular aerial images and videos. We present an initial light-weight and drone …

Precise rotational positioning of end-effectors under microscopy is crucial for robotic
micromanipulation. However, the end-effector is presently limited to a fixed orientation …

In this paper, we propose a new cue of depth sensing using thermal radiation. Our method
realizes passive, texture independent, far range, and dark scene applicability, which can …

This paper presents an edge-based defocus blur estimation method from a single defocused
image. We first distinguish edges that lie at depth discontinuities (called depth edges, for …

This paper presents a novel calibration algorithm for plenoptic cameras, especially the multi-
focus configuration, where several types of micro-lenses are used, using raw images only …

For the shadowgraphy techniques with a single camera, it is difficult to accurately obtain the
shape, size, and depth location of the droplets out of focus due to the defocus blur. This …

Reflection removal has been discussed for more than decades. This paper aims to provide
the analysis for different reflection properties and factors that influence image formation, an …