A5001568584- Optical measurement and interference techniques
- 3D Surveying and Cultural Heritage
- Remote Sensing and LiDAR Applications
- 3D Shape Modeling and Analysis
- Higher Education Governance and Development
- Advanced Optical Sensing Technologies
Harbin Institute of Technology
2022
Point cloud upsampling aims to generate dense and uniformly distributed point sets from sparse clouds. Existing methods typically approach the task as an interpolation problem. They achieve by performing local between clouds or in feature space, then regressing interpolated points appropriate positions. By contrast, our proposed method treats a global shape completion Specifically, first divides into multiple patches. Then masking operation is applied remove some patches, leaving visible...
Point cloud data now are popular representations in a number of three-dimensional (3D) vision research realms. However, due to the limited performance sensors and sensing noise, raw usually suffer from sparsity, incompleteness. This poses great challenges down-stream point processing tasks. In recent years, deep-learning-based enhancement methods, which aim achieve dense, clean, complete clouds low-quality using deep neural networks, gaining tremendous attention. paper, for first time our...
The higher education plays an important role in the development of a country. Research on this issue may serve as reference for countries to build healthy and sustainable system. We reviewed literature created dataset Higher Education Evaluation Dataset (HEED) problem based collected data interpolation algorithms. Based Analytic Hierarchy Process (AHP) Entropy Weighting Method (EWM), we established weights dimension indicator layers, then used TOPSIS method calculate health score national...