IEEE

3D Instance Embedding Learning With a Structure-Aware Loss Function for Point Cloud Segmentation

Abstract: This letter presents a framework for 3D instance segmentation on point clouds. A 3D convolutional neural network is used as the backbone to generate semantic predictions and instance ...
IEEE

Component-based Point Spread Function Modeling for an Adaptive Multi-Pinhole SPECT with Full-Ring Detectors

Abstract: We developed an adaptive whole-body SPECT/CT with a full detector ring and eight sets of multi-pinhole (MPH) collimators. Each MPH collimator was designed for specific clinical practices ...
Hosted on MSN

Web VPython tutorial: Building a standard deviation function

Learn how to build a standard deviation function in VPython with this step-by-step web tutorial! Perfect for coding, data analysis, and physics simulations. #VPython #PythonTutorial #StandardDeviation ...
IEEE

High-Resolution Elastic Reverse-Time Migration Using the Point-Spread Function Deconvolution With Density Scatterers

Abstract: High-resolution and amplitude-preserved imaging is crucial for mapping impedance interfaces and identifying hydrocarbon reservoirs in the subsurface. Although elastic reverse-time migration ...
IEEE

An Efficient Point Spread Function Inversion Method for Image-Domain One-Way Wave-Equation Least-Squares Migration

Abstract: Image-domain least-squares migration (LSM) has demonstrated promising potential in enhancing the spatial resolution of migration images effectively and efficiently. However, existing ...
IEEE

A Survey on the Control Lyapunov Function and Control Barrier Function for Nonlinear-Affine Control Systems

Abstract: This survey provides a brief overview on the control Lyapunov function (CLF) and control barrier function (CBF) for general nonlinear-affine control systems. The problem of control is ...
IEEE

LSTM Network Assisted Construction of the Angle-Dependent Point Spread Function and Its Applications in Seismic Imaging

Abstract: Migration is the core link in reflection seismic exploration. Seismic images are often extended into angle domain for interpretations. However, affected by limited acquisition aperture and ...
IEEE

A B-Spline Function Based 3D Point Cloud Flattening Scheme for 3D Fingerprint Recognition and Identification

Abstract: 3D fingerprint-based recognition and identification have several advantages compared to conventional 2D recognition systems. It is hygienic and secure due to its contactless sample ...
IEEE

Elastic Least-Squares Gaussian Beam Imaging With Point Spread Functions

Abstract: Elastic least-squares migration (ELSM) has the potential to produce high-resolution images. It can be implemented in either data-domain or image-domain but is much faster in the image domain ...
IEEE

PsfDeconNet: High-Resolution Seismic Imaging Using Point-Spread Function Deconvolution With Generative Adversarial Networks

Abstract: Least-squares migration (LSM) aims to seek the best-fit solution for subsurface reflectivity with high image resolution and balanced amplitudes by minimizing the mismatching between ...
EurekAlert!

Point spread function decoupling in computational fluorescence microscopy

Fluorescence microscopy is a cornerstone of modern biological research, widely used to reveal cellular structures, molecular interactions, and dynamic life processes. Computational fluorescence ...