Investopedia

Algorithms in Trading: Understanding Key Concepts and Strategies

Lucas Downey is the co-founder of MoneyFlows, and an Investopedia Academy instructor. Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in ...
IEEE

NRACP: The Point Cloud Normal Re-estimation Algorithm Based on Adaptive Consistency Propagation for Cultural Artworks

Abstract: Normal estimation is a critical task in point cloud analysis, especially in cultural heritage preservation and digitization. However, due to errors from acquisition devices and environmental ...
IEEE

A Generalization of Iterative Closest Point Registration Algorithms Using a Local Reference Frame-Based SE(3) Augmentation

Abstract: Point cloud registration is a key computer vision task that must be solved in most modern pipelines for 3-D data processing. Iterative Closest Point (ICP) algorithms are one of the most ...
IEEE

A Hybrid P&O-Fuzzy-Based Maximum Power Point Tracking (MPPT) Algorithm for Photovoltaic Systems Under Partial Shading Conditions

Abstract: Photovoltaic arrays receive varying levels of solar radiation due to factors such as shadows created by clouds, surrounding buildings, and other obstructions. Therefore, an effective Maximum ...
IEEE

Generating Adversarial Examples for 3D Point Clouds Using Evolutionary Algorithms

Abstract: We propose a general attack framework based on evolutionary algorithms to quickly and efficiently generate low-perturbation adversarial samples for 3D point cloud data. Specifically, we ...
IEEE

Point Cloud Registration of the Fractured Segments Based on the Preprocessing and Iterative Closest Point Algorithm

Abstract: For robot-assisted fracture reduction surgery, it is necessary to study the point cloud registration after the point cloud extraction and screening. According to the registration result, the ...
IEEE

Maximum Power Point Tracking Based Proximal Policy Optimization Algorithm for Grid-Connected Photovoltaic Systems

Abstract: Photovoltaic (PV) systems are widely acknowledged for their sustainable, plentiful, and eco-friendly energy generation. However, the non-linear behavior of PV cells highlights the vital role ...
IEEE

Low Cost 3D Scanner Using Iterative Closest Point Algorithm

Abstract: 3D reconstruction is widely used to create 3D representation of 2D images. 3D scanner is a device that takes scans or images of the object or environment and creates the 3D representation of ...
IEEE

A Robust Object Tracking Framework Based on a Reliable Point Assignment Algorithm

Abstract: Visual tracking, which has been widely used in many vision fields, has been one of the most active research topics in computer vision in recent years. However, there are still challenges in ...
GitHub

3DTK - The 3D Toolkit

The 3D Toolkit provides algorithms and methods to process 3D point clouds. It includes automatic high-accurate registration (6D simultaneous localization and mapping, 6D SLAM) and other tools, e.g., a ...