Investopedia

Understanding Simple Random Sampling: Key Advantages and Limitations

Melissa Horton is a financial literacy professional. She has 10+ years of experience in the financial services and planning industry. Robert Kelly is managing director of XTS Energy LLC, and has more ...
Investopedia

Representative Samples: What Percentage of the Population Is Needed?

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Somer G. Anderson is CPA, doctor of ...
IEEE

On the Methods of Further Generalization of Nyquist–Shannon sampling theorem

Abstract: It is shown that the modernized Nyquist-Shannon theorem, which establishes the theoretical limit for the amount of information that can be obtained based on the analysis of a wave field ...
IEEE

3D point cloud robust sampling method based on aggregation rate

Abstract: Effective sampling plays a critical role in the preprocessing of 3D point cloud data, directly impacting the performance of downstream models. Traditional Farthest Point Sampling (FPS) ...
IEEE

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery

Abstract: Recent advancements in lidar technology have led to improved point cloud resolution as well as the generation of 360° low-resolution images by encoding depth, reflectivity, or near-infrared ...
IEEE

PlantPCC: Dual Sampling and Multi-level Geometry-aware Contrastive Regularization for Plant Point Cloud Completion

Abstract: Plant point cloud completion is essential for tasks like segmentation and surface reconstruction in plant phenotyping. Unlike the relatively simpler Computer-Aided Design models found in ...
IEEE

Investigating Lambda Policy Iteration with Randomization Using Kannan Fixed Point Theorem

Abstract: In this article, we use methods from fixed point theory to examine a Lambda policy iteration with a randomization algorithm mappings that satisfy the Kannan contraction condition. As shown ...
IEEE

Efficient Point Cloud Streaming via Curvature and Edge-Aware Sampling and Deep-Learning-Based Reconstruction

Abstract: Point clouds have emerged as a preferred representation for 3D information in various immersive applications. The delivery of high-quality point clouds demands a lot of bandwidth, which ...
Frontiers

LiDAR point cloud down-sampling strategy with multi-dimensional membership fusion

This study devises an innovative LiDAR point cloud down-sampling strategy that capitalizes on the properties of Fuzzy C Means (FCM) clustering membership functions in each dimension. Traditional ...
IEEE

SegSAM-3D: Integrating Semantic Point Prompts and Multi-Layer Feature Sampling in SAM for Medical Imaging Segmentation

Abstract: Medical imaging segmentation, particularly in 3D, poses significant challenges related to accuracy and computational cost. Existing 2D prompt segmentation models, such as Segment Anything ...
GitHub

Point Cloud Tutorial for Beginners

I am an undergraduate student from Zhejiang A&F University, so there may be some inaccuracies or errors in these materials. I warmly welcome any feedback, corrections, or suggestions from everyone — ...