A5028855588- Computer Graphics and Visualization Techniques
- 3D Shape Modeling and Analysis
- 3D Surveying and Cultural Heritage
- Cell Image Analysis Techniques
- Advanced Steganography and Watermarking Techniques
- UAV Applications and Optimization
- Distributed Control Multi-Agent Systems
- Image Enhancement Techniques
- Digital Imaging for Blood Diseases
- Educational and Technological Research
- Internet Traffic Analysis and Secure E-voting
- Air Traffic Management and Optimization
- Machine Learning and Data Classification
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- E-commerce and Technology Innovations
- Cryptography and Data Security
- AI and Big Data Applications
- Advanced Numerical Analysis Techniques
Weifang University
2024
National University of Defense Technology
2019-2023
PLA Army Engineering University
2023
Surface reconstruction from raw point clouds has been studied for decades in the computer graphics community, which is highly demanded by modeling and rendering applications nowadays. Classic solutions, such as Poisson surface reconstruction, require normals extra input to perform reasonable results. Modern transformer-based methods can work without normals, while results are less fine-grained due limited encoding performance local fusion discrete points. We introduce a novel normalized...
Learning-based surface reconstruction based on unsigned distance functions (UDF) has many advantages such as handling open surfaces. We propose SuperUDF, a self-supervised UDF learning which exploits learned geometry prior for efficient training and novel regularization robustness to sparse sampling. The core idea of SuperUDF draws inspiration from the classical approximation operator locally optimal projection (LOP). key insight is that if estimated correctly, 3D points should be projected...
Wet paper code (WPC) can adaptively select the covert channel, but computational complexities of existing solving algorithms are too large to satisfy real-time requirement Voice over IP (VoIP). For this reason, an improved WPC method based on simplified hamming parity-check matrix is presented. The main idea determine required encoding using a and randomly expand cover according given length. Compared with ones, proposed effectively reduce complexity only O(n), obtain optimal solution in any...
Dimensionality reduction is a fundamental task in the field of data mining and machine learning. In many scenes, examples high-dimensional space usually lie on low-dimensional manifolds; thus, learning embedding important. Some well-known methods, such as LPP LE, adopt locality-preserving strategy by constructing an adjacent graph using Laplacian to project raw into subspace order obtain representation. Accordingly, this paper, we propose novel neighbors-based distance that measures two...
Hierarchical cluster architecture is usually adopted in large scale unmanned aerial vehicle (UAV) network. Due to mission scheduling scheme, the assigned determines number of UAVs cluster. Aiming at problem rapid changes head caused by high mobility cluster, we propose a stability improved weighted selection algorithm (SI-WCSA) for mission-oriented flying ad hoc networks based on speed similarity, energy, distance and node degree. Firstly, it improves metric which can accurately reflect...
Surface reconstruction from raw point clouds has been studied for decades in the computer graphics community, which is highly demanded by modeling and rendering applications nowadays. Classic solutions, such as Poisson surface reconstruction, require normals extra input to perform reasonable results. Modern transformer-based methods can work without normals, while results are less fine-grained due limited encoding performance local fusion discrete points. We introduce a novel normalized...