23 citations · 41 across the 12 of their papers we have counts for
14 papers
Structural MAT: Clean and Scalable Medial Axis Simplification via Explicit Surface Correspondence
Pengfei Wang, Shuangmin Chen, Dongming Yan +4
The Medial Axis Transform (MAT) is a complete shape descriptor capable of reconstructing the geometry of the original domain. A high-quality MAT should not only facilitate high-fid…
Manifold k-NN: Accelerated k-NN Queries for Manifold Point Clouds
Pengfei Wang, Qinghao Guo, Haisen Zhao +4
k-nearest neighbor (k-NN) search is a fundamental primitive in geometry processing and computer graphics. While spatial partitioning structures such as kd-trees are standard, they…
P2M++: Enhanced Solver for Point-to-Mesh Distance Queries
Qinghao Guo, Pengfei Wang, Chen Zong +5
Point-to-mesh distance queries are fundamental in computer graphics and geometric modeling. While the state-of-the-art P2M method achieves high-speed queries via Voronoi-based loca…
Toward Precise Curve Offsetting Constrained to Parametric Surfaces
Jin Zhao, Pengfei Wang, Shuangmin Chen +4
Computing offsets of curves on parametric surfaces is a fundamental yet challenging operation in computer aided design and manufacturing. Traditional analytical approaches suffer f…
Swept Volume Computation with Enhanced Geometric Detail Preservation
Pengfei Wang, Yuexin Yang, Shuangmin Chen +3
Swept volume computation, the determination of regions occupied by moving objects, is essential in graphics, robotics, and manufacturing. Existing approaches either explicitly trac…
OffsetCrust: Variable-Radius Offset Approximation with Power Diagrams
Zihan Zhao, Pengfei Wang, Minfeng Xu +4
Offset surfaces, defined as the Minkowski sum of a base surface and a rolling ball, play a crucial role in geometry processing, with applications ranging from coverage motion plann…
Power Diagram Enhanced Adaptive Isosurface Extraction from Signed Distance Fields
Pengfei Wang, Ziyang Zhang, Wensong Wang +4
Extracting high-fidelity mesh surfaces from Signed Distance Fields has become a fundamental operation in geometry processing. Despite significant progress over the past decades, ke…
NeuVAS: Neural Implicit Surfaces for Variational Shape Modeling
Pengfei Wang, Qiujie Dong, Fangtian Liang +11
Neural implicit shape representation has drawn significant attention in recent years due to its smoothness, differentiability, and topological flexibility. However, directly modeli…
Towards Voronoi Diagrams of Surface Patches
Pengfei Wang, Jiantao Song, Lei Wang +5
Extraction of a high-fidelity 3D medial axis is a crucial operation in CAD. When dealing with a polygonal model as input, ensuring accuracy and tidiness becomes challenging due to…
Efficient Nearest Neighbor Search Using Dynamic Programming
Pengfei Wang, Jiantao Song, Shiqing Xin +4
Given a collection of points in R^3, KD-Tree and R-Tree are well-known nearest neighbor search (NNS) algorithms that rely on space partitioning and spatial indexing techniques. How…
NeurCADRecon: Neural Representation for Reconstructing CAD Surfaces by Enforcing Zero Gaussian Curvature
Qiujie Dong, Rui Xu, Pengfei Wang +5
Despite recent advances in reconstructing an organic model with the neural signed distance function (SDF), the high-fidelity reconstruction of a CAD model directly from low-quality…
D3Former: Jointly Learning Repeatable Dense Detectors and Feature-enhanced Descriptors via Saliency-guided Transformer
Junjie Gao, Pengfei Wang, Qiujie Dong +3
Establishing accurate and representative matches is a crucial step in addressing the point cloud registration problem. A commonly employed approach involves detecting keypoints wit…
SurfaceVoronoi: Efficiently Computing Voronoi Diagrams over Mesh Surfaces with Arbitrary Distance Solvers
Shiqing Xin, Pengfei Wang, Rui Xu +5
In this paper, we propose to compute Voronoi diagrams over mesh surfaces driven by an arbitrary geodesic distance solver, assuming that the input is a triangle mesh as well as a co…
Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction
Zixiong Wang, Pengfei Wang, Pengshuai Wang +6
Surface reconstruction is very challenging when the input point clouds, particularly real scans, are noisy and lack normals. Observing that the Multilayer Perceptron (MLP) and the…