D-FRAME: Direction-Field-Based Wireframe Extraction for Complex CAD Models
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Summary
This summary is machine-generated.This study introduces D-FRAME, a new method for extracting wireframes from 3D CAD models. D-FRAME effectively handles noisy and complex data, improving wireframe extraction and CAD model reconstruction.
Area Of Science
- Computer Graphics
- Geometric Modeling
Background
- Extracting wireframes from point cloud data of CAD models is challenging due to data imperfections (noise, sparsity, lack of orientation) and complex geometries with dense, proximate sharp edges.
- Existing methods struggle with the inherent difficulties in accurately representing and reconstructing CAD models from imperfect point cloud data.
Purpose Of The Study
- To propose D-FRAME, a novel multi-stage framework for robust wireframe extraction from point cloud data of CAD models.
- To enhance the quality of edge detection, connectivity, and precision in wireframe extraction.
- To achieve highly faithful reconstruction of CAD models by integrating extracted wireframes with the original point cloud.
Main Methods
- Developed a multi-stage wireframe extraction framework named D-FRAME.
- Incorporated a novel direction field to improve edge detection quality and connectivity.
- Implemented a refinement strategy for sparse or noisy edge points and a coarse-to-fine connection module for robust wireframe extraction.
- Utilized the Restricted Voronoi Diagram (RVD) in conjunction with extracted wireframes and the original point cloud for reconstruction.
Main Results
- D-FRAME effectively manages noise, sparsity, and complex geometries in point cloud data.
- The proposed direction field enhances edge precision and connectivity, mitigating misclassified points.
- The framework yields high-fidelity wireframes and achieves highly faithful reconstruction of CAD models.
- Experimental results on synthetic and real-world datasets validate the effectiveness of D-FRAME.
Conclusions
- D-FRAME presents a significant advancement in wireframe extraction from CAD models represented by point clouds.
- The framework demonstrates superior performance in handling data imperfections and geometric complexities.
- D-FRAME enables high-fidelity wireframe extraction and accurate CAD model reconstruction.
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