IEEE

SPAC: Sampling-Based Progressive Attribute Compression for Dense Point Clouds

Abstract: We propose an end-to-end attribute compression method for dense point clouds. The proposed method combines a frequency sampling module, an adaptive scale feature extraction module with ...
Investopedia

Value Investing Definition, How It Works, Strategies, and Risks

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
IEEE

Impact of Latency and Packet Error on Communication in Centralized Microgrid Control: Modeling and Guidelines

Abstract: This paper proposes a novel dynamic model in the Laplace domain for an advanced ac microgrid with centralized secondary control. The model applies a centralized power-based control strategy ...
IEEE

SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity

Abstract: Driven by the increasing demand for accurate and efficient representation of 3D data in various domains, point cloud sampling has emerged as a pivotal research topic in 3D computer vision.
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

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

A Quality-Aware Sampling Framework for Efficient 3D Point Cloud Transmission

Abstract: The large volume of data from the point cloud brings significant demands on network bandwidth. However, the current transmission framework only considers using lossy compression to control ...
IEEE

Parameter Identification for Inverse Scattering Problem of Electrically Large Curved Surfaces

Abstract: Inverse scattering problems (ISPs) often suffer from severe ill-posedness and nonlinearity. In this article, a parameter identification method that determines the necessary conditions of ...
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

Innovative Negative Sampling and Natural Language Processing Approach for Optimizing Knowledge Point Recommendations in Personalized Learning

Abstract: This study explores an innovative approach to enhancing personalized learning through a negative sampling-optimized pedagogical recommendation model. The proposed methodology integrates ...
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 ...