Automatic phase aberration compensation for digital holographic microscopy based on deep learning background detection
We propose a fully automatic technique to obtain aberration free quantitative phase imaging
in digital holographic microscopy (DHM) based on deep learning. The traditional DHM …
in digital holographic microscopy (DHM) based on deep learning. The traditional DHM …
Accurate 3D reconstruction via fringe-to-phase network
Learning 3D shape representations from structured-light images for 3D reconstructions has
become popular in many fields. This paper presents a new approach integrating a fringe-to …
become popular in many fields. This paper presents a new approach integrating a fringe-to …
Three-dimensional shape reconstruction from single-shot speckle image using deep convolutional neural networks
Abstract Three-dimensional (3D) shape reconstruction from a monocular two-dimensional
(2D) image has emerged as a highly demanded tool in many applications. This paper …
(2D) image has emerged as a highly demanded tool in many applications. This paper …
Digital image correlation in experimental mechanics and image registration in computer vision: Similarities, differences and complements
Digital image correlation and image registration or matching are among the most widely
used techniques in the fields of experimental mechanics and computer vision, respectively …
used techniques in the fields of experimental mechanics and computer vision, respectively …
Single-shot 3D shape acquisition using a learning-based structured-light technique
Learning three-dimensional (3D) shape representation of an object from a single-shot image
has been a prevailing topic in computer vision and deep learning over the past few years …
has been a prevailing topic in computer vision and deep learning over the past few years …
Accuracy assessment of fringe projection profilometry and digital image correlation techniques for three-dimensional shape measurements
With ever-increasing demand for three-dimensional (3D) imaging and shape measurements
in a variety of fields, measurement accuracy has become of vital importance to numerous …
in a variety of fields, measurement accuracy has become of vital importance to numerous …
Multi-camera calibration method based on a multi-plane stereo target
Machine vision techniques, including camera calibration methods, are of great importance
for the development of vision-based measurements. However, in multi-camera calibration …
for the development of vision-based measurements. However, in multi-camera calibration …
[HTML][HTML] hNet: single-shot 3D shape reconstruction using structured light and h-shaped global guidance network
Abstract Retrieving three-dimensional (3D) shape information from a single two-dimensional
(2D) image has recently gained enormous attention in a variety of fields. In spite of recent …
(2D) image has recently gained enormous attention in a variety of fields. In spite of recent …
3D shape, deformation, and vibration measurements using infrared Kinect sensors and digital image correlation
Consumer-grade red-green-blue and depth (RGB-D) sensors, such as the Microsoft Kinect
and the Asus Xtion, are attractive devices due to their low cost and robustness for real-time …
and the Asus Xtion, are attractive devices due to their low cost and robustness for real-time …
Underwater image matching with efficient refractive-geometry estimation for measurement in glass-flume experiments
H Sun, H Du, M Li, H Sun, X Zhang - Measurement, 2020 - Elsevier
Computer vision technology has been employed in numerous ocean engineering
experiments to measure motions and shapes of target objects. However, when dealing with …
experiments to measure motions and shapes of target objects. However, when dealing with …