In order to solve the problem that the speed of feature-based point cloud simplification methods is slow, a point cloud simplification method based on voxel convex hull is proposed in this paper, ...

In order to solve the problem that the speed of feature-based point cloud simplification methods is slow, a fast and feature-retained point cloud simplification method based on voxel convex hull is ...

Abstract: Solving optimization problems plays a vital role in ensuring the secure and economic operation of distribution systems. To enhance computational efficiency, this paper proposes a general ...

Abstract: Text simplification is to transform complex text into simple and understandable text without changing sentence meaning. It can serve people with low language literacy, cognitive or language ...

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 ...

Since I couldn't find any code that's fast, memory efficient, free and for high quality, I developed my version of the quadric based edge collapse mesh simplification method. It uses a threshold to ...

This project compares the standard independent Douglas-Peucker polygon simplification method with a proposed Shared-Edge-Aware Douglas-Peucker (SEA-DP) method. The goal of SEA-DP is to simplify ...