Pengcheng Wei
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View article: LiDGS: An efficient 3D reconstruction framework integrating lidar point clouds and multi-view images for enhanced geometric fidelity
LiDGS: An efficient 3D reconstruction framework integrating lidar point clouds and multi-view images for enhanced geometric fidelity Open
View article: From High-resolution Remote Sensing to Tower-mounted Video Surveillance System: Dual Feature Image Matching-Based Precise Positioning Method in Complex Suburban Areas
From High-resolution Remote Sensing to Tower-mounted Video Surveillance System: Dual Feature Image Matching-Based Precise Positioning Method in Complex Suburban Areas Open
With the continuous advancement of urbanization, the demand for comprehensive monitoring of diverse suburban areas is increasing, which simultaneously raises the need for high-precision positioning technologies especially for the automatic…
View article: MS-POFT: multiscale phase-orientation guided feature transform for multi-modal image matching
MS-POFT: multiscale phase-orientation guided feature transform for multi-modal image matching Open
Multi-modal remote sensing image (MRSI) matching has always been a challenging task. Traditional image matching methods often fail to obtain satisfactory results in most cases due to temporal differences, complex geometric distortions, and…
View article: The association of life’s essential 8 scores trajectory patterns with the risk of all cancer types
The association of life’s essential 8 scores trajectory patterns with the risk of all cancer types Open
View article: The associations between irregular breakfast and late-night snacking with metabolic dysfunction-associated steatotic liver disease
The associations between irregular breakfast and late-night snacking with metabolic dysfunction-associated steatotic liver disease Open
Irregular or skipped breakfast and late-night snacking were associated with an increased risk of MASLD and MetALD.
View article: Automatic Instance Segmentation of Lining Tunnel Segments in Point Clouds Based onStructural Line Detection
Automatic Instance Segmentation of Lining Tunnel Segments in Point Clouds Based onStructural Line Detection Open
View article: Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction
Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction Open
Predicting Remaining Useful Life (RUL) plays a crucial role in the prognostics and health management of industrial systems that involve a variety of interrelated sensors. Given a constant stream of time series sensory data from such system…
View article: Micro-Structures Graph-Based Point Cloud Registration for Balancing Efficiency and Accuracy
Micro-Structures Graph-Based Point Cloud Registration for Balancing Efficiency and Accuracy Open
Point Cloud Registration (PCR) is a fundamental and significant issue in\nphotogrammetry and remote sensing, aiming to seek the optimal rigid\ntransformation between sets of points. Achieving efficient and precise PCR\nposes a considerable…
View article: An End-to-End Bi-Objective Approach to Deep Graph Partitioning
An End-to-End Bi-Objective Approach to Deep Graph Partitioning Open
View article: Students’ Facial Expression Recognition Based on Multi-head Attention Mechanism
Students’ Facial Expression Recognition Based on Multi-head Attention Mechanism Open
As there are a far greater number of students in the classroom than teachers, it is difficult for teachers to grasp the learning of all students. Especially during the epidemic period, when online teaching becomes a trend, this problem is …
View article: VMP-A3C: Virtual machines placement in cloud computing based on asynchronous advantage actor-critic algorithm
VMP-A3C: Virtual machines placement in cloud computing based on asynchronous advantage actor-critic algorithm Open
Virtualization technology represented through Virtual Machines (VMs) is recognized as a key infrastructure in cloud computing. This technology is developing rapidly and cloud data centers face challenges such as Virtual Machine Placement (…
View article: Robust Planning System for Fast Autonomous Flight in Complex Unknown Environment Using Sparse Directed Frontier Points
Robust Planning System for Fast Autonomous Flight in Complex Unknown Environment Using Sparse Directed Frontier Points Open
Path planning is one of the key parts of unmanned aerial vehicle (UAV) fast autonomous flight in cluttered environments. However, it remains a challenge to efficiently generate a high-quality trajectory for flight tasks with a high success…
View article: Autonomous Exploration Method for Fast Unknown Environment Mapping by Using UAV Equipped with Limited FOV Sensor
Autonomous Exploration Method for Fast Unknown Environment Mapping by Using UAV Equipped with Limited FOV Sensor Open
Autonomous exploration is one of the important parts to achieve the fast autonomous mapping and target search. However, most of the existing methods are facing low-efficiency problems caused by low-quality trajectory or back-and-forth mane…
View article: Analysis of Human Factors in Typical Accident Tests of Certain Type Flight Simulator
Analysis of Human Factors in Typical Accident Tests of Certain Type Flight Simulator Open
With the improvement of modern aviation equipment manufacturing technology, there are relatively few failures due to the unreliability of the aircraft. However, human factors which resulted in air crashes and unsafe events are raised. In t…
View article: Tstd:A Cross-Modal Two Stages Network with New Trans-Decoder for Point Cloud Semantic Segmentation
Tstd:A Cross-Modal Two Stages Network with New Trans-Decoder for Point Cloud Semantic Segmentation Open
View article: Bio-Inspired Eco-Friendly Superhydrophilic/Underwater Superoleophobic Cotton for Oil-Water Separation and Removal of Heavy Metals
Bio-Inspired Eco-Friendly Superhydrophilic/Underwater Superoleophobic Cotton for Oil-Water Separation and Removal of Heavy Metals Open
Effective integrated methods for oil-water separation and water remediation have signifi-cance in both energy and environment fields. Materials with both superlyophobic and superlyophilic properties toward water and oil have aroused great …
View article: A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration
A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration Open
Registration is a basic yet crucial task in point cloud processing. In correspondence-based point cloud registration, matching correspondences by point feature techniques may lead to an extremely high outlier ratio. Current methods still s…
View article: Efficient Depth Fusion Transformer for Aerial Image Semantic Segmentation
Efficient Depth Fusion Transformer for Aerial Image Semantic Segmentation Open
Taking depth into consideration has been proven to improve the performance of semantic segmentation through providing additional geometry information. Most existing works adopt a two-stream network, extracting features from color images an…
View article: DGS-SLAM: A Fast and Robust RGBD SLAM in Dynamic Environments Combined by Geometric and Semantic Information
DGS-SLAM: A Fast and Robust RGBD SLAM in Dynamic Environments Combined by Geometric and Semantic Information Open
Visual Simultaneous Localization and Mapping (VSLAM) is a prerequisite for robots to accomplish fully autonomous movement and exploration in unknown environments. At present, many impressive VSLAM systems have emerged, but most of them rel…
View article: Assessment of an integrated solar combined cycle system based on conventional and advanced exergetic methods
Assessment of an integrated solar combined cycle system based on conventional and advanced exergetic methods Open
An integrated solar combined cycle system based on parabolic trough solar collector and combined cycle power plant is proposed. The advanced system is socio-economic significance compared to traditional combined cycle power system. Plainly…
View article: EXPLORING DYNAMIC NONLINEAR INFORMATION SYSTEM WITH SATURATION CONSTRAINT AND UNKNOWN INFORMATION
EXPLORING DYNAMIC NONLINEAR INFORMATION SYSTEM WITH SATURATION CONSTRAINT AND UNKNOWN INFORMATION Open
The dynamic nonlinear system with saturation constraints and unknown information is studied to design a better control system. The controller of the general n-order affine nonlinear system is constructed utilizing the backstepping method a…
View article: A FACIAL EXPRESSION RECOGNITION METHOD USING LOCAL NONLINEAR FEATURES
A FACIAL EXPRESSION RECOGNITION METHOD USING LOCAL NONLINEAR FEATURES Open
The purposes are to recognize the facial expression information and establish a fast and accurate facial expression recognition algorithm. First, the noise caused by face image shooting is eliminated by analyzing the primary methods of fac…
View article: SDF5 Encoding P450 Protein Is Required for Internode Elongation in Rice
SDF5 Encoding P450 Protein Is Required for Internode Elongation in Rice Open
View article: Proteomics Analysis of the Cerebellum in Spontaneously Hypertensive Rats Treated with Twirling Reinforcing Manipulation, Twirling Reducing Manipulation or Electroacupuncture
Proteomics Analysis of the Cerebellum in Spontaneously Hypertensive Rats Treated with Twirling Reinforcing Manipulation, Twirling Reducing Manipulation or Electroacupuncture Open
Purpose: In this experiment, spontaneously hypertensive rats (SHR) were used to further explore the antihypertensive effect of acupuncture twirling reinforcing and reducing manipulation and the central effect mechanism of regulating blood …
View article: Joint patch and instance discrimination learning for unsupervised person re-identification
Joint patch and instance discrimination learning for unsupervised person re-identification Open
View article: Bandwidth optimization of information application system under fine integral method of fuzzy fractional order ordinary differential equations
Bandwidth optimization of information application system under fine integral method of fuzzy fractional order ordinary differential equations Open
In order to solve the problems that the network bandwidth of previous information application systems can’t guarantee the quality of big data transmission, resulting in low transmission efficiency and slow data processing, etc., an improve…
View article: An Efficient Encoding Voxel-Based Segmentation (EVBS) Algorithm Based on Fast Adjacent Voxel Search for Point Cloud Plane Segmentation
An Efficient Encoding Voxel-Based Segmentation (EVBS) Algorithm Based on Fast Adjacent Voxel Search for Point Cloud Plane Segmentation Open
Plane segmentation is a basic yet important process in light detection and ranging (LiDAR) point cloud processing. The traditional point cloud plane segmentation algorithm is typically affected by the number of point clouds and the noise d…
View article: Research on fault diagnosis of thermodynamic system based on the network model of internet of things
Research on fault diagnosis of thermodynamic system based on the network model of internet of things Open
Aiming at the problem that the traditional diagnosis model is difficult to be established accurately, a fault diagnosis algorithm based on the fault diagnosis criterion is constructed to study the fault diagnosis of thermodynamic system ba…
View article: The application of image analysis technology in the extraction of human body feature parameters
The application of image analysis technology in the extraction of human body feature parameters Open
With the improvement of living standards, personalized clothing customization has become a trend of people’s apparel demand. The key factor in personalized clothing customization is a three-dimensional human modeling. With the development …
View article: Research on face feature extraction based on K-mean algorithm
Research on face feature extraction based on K-mean algorithm Open