三维线框生成的研究发展与综述
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三维线框生成的研究发展与综述
三维线框因其轻量化、可编辑性强以及能准确刻画模型尖锐与关键特征的优势,已广泛应用于工业设计、遥感测量、城市建模等领域。三维线框在保留几何与形状特征的同时,显著降低了存储空间与计算成本,在三维重建、几何编辑、曲面分割等任务中发挥着重要作用。近年来,三维线框的实用性与有效性已得到广泛验证,其生成技术正逐渐成为计算机视觉与计算机图形学领域的研究热点。
常用的点云特征提取backbone
常用的数据集
部分技术和算法源代码
一、基于网格的三维线框生成方法
1.1 基于曲率估计的谷脊线检测
Extraction of feature lines on triangulated surfaces using morphological operators
Detection of salient curvature features on polygonal surfaces
Normal vector voting: crease detection and curvature estimation on large, noisy meshes
The implicit structure of ridges of a smooth parametric surface
Estimating Curvatures and Their Derivatives on Triangle Meshes
Finding Ridges and Valleys in a Discrete Surface Using a Modified MLS Approximation
Fast, Robust, and Faithful Methods for Detecting Crest Lines on Meshes
Separatrix Persistence: Extraction of Salient Edges on Surfaces Using Topological Methods
Feature Detection of Triangular Meshes Based on Tensor Voting Theory
Thin nets and crest lines: Application to satellite data and medical images
Extracting line representations of sulcal and gyral patterns in MR images of the human brain
Using a statistical shape model to extract sulcal curves on the outer cortex of the human brain
1.2 基于网格分割的特征曲线检测
A general and efficient method for finding cycles in 3D curve networks
FlowRep: Descriptive curve networks for free-form design shapes
Cassie: Curve and surface sketching in immersive environments
Strokes2Surface: Recovering curve networks from 4D architectural design sketches
Structure Recovery via Hybrid Variational Surface Approximation
Quadric surface extraction by variational shape approximation
Interactive segmentation of scanned mechanical models based on quadratic surfaces fitting
Extraction and remeshing of ellipsoidal representations from mesh data
Hierarchical mesh decomposition using fuzzy clustering and cuts
A new CAD mesh segmentation method, based on curvature tensor analysis
Recognition of feature curves on 3D shapes using an algebraic approach to Hough transforms
Extracting cycle-aware feature curve networks from 3D models
3D Shape Segmentation with Potential Consistency Mining and Enhancement
二、基于点云的三维线框生成方法
2.1 基于几何分析的尖锐特征检测
Sharp feature preserving MLS surface reconstruction based on local feature line approximations
Voronoi-based feature curves extraction for sampled singular surfaces
Feature preserving point set surfaces based on non‐linear kernel regression
Multi-scale tensor voting for feature extraction from unstructured point clouds
Voronoi-based curvature and feature estimation from point clouds
SGLBP: Subgraph‐based local binary patterns for feature extraction on point clouds
Extracting feature lines from point clouds based on smooth shrink and iterative thinning
Neighbor reweighted local centroid for geometric feature identification
An adaptive normal estimation method for scanned point clouds with sharp features
A statistical approach for extraction of feature lines from point clouds
Edge and corner detection for unorganized 3d point clouds with application to robotic welding
Rfeps: Reconstructing feature-line equipped polygonal surface
2.2 基于深度学习的CAD模型三维线框生成
Def: Deep estimation of sharp geometric features in 3d shapes
MSL-Net: Sharp feature detection network for 3D point clouds
Complexgen: Cad reconstruction by b-rep chain complex generation
Surface and edge detection for primitive fitting of point clouds
Brepgen: A b-rep generative diffusion model with structured latent geometry
Split-and-fit: Learning b-reps via structure-aware voronoi partitioning
Hola: B-rep generation using a holistic latent representation
B-repLer: Semantic B-rep Latent Editor using Large Language Models
Cmt: A cascade mar with topology predictor for multimodal conditional cad generation
Sharp feature consolidation from raw 3D point clouds via displacement learning
Sepicnet: Sharp edges recovery by parametric inference of curves in 3d shapes
Coarse-to-fine pipeline for 3D wireframe reconstruction from point cloud
WireframeNet: A novel method for wireframe generation from point cloud
EDWG: Efficient Edge Detection and Wireframe Generation from Point Clouds
Nerve: Neural volumetric edges for parametric curve extraction from point cloud
Deep Point Cloud Edge Reconstruction Via Surface Patch Segmentation
Clr-wire: Towards continuous latent representations for 3d curve wireframe generation
2.3 面向激光雷达点云的三维线框生成
2.3.1 面向大型建筑物三维点云的线段检测
Line segment extraction for large scale unorganized point clouds
Facet segmentation-based line segment extraction for large-scale point clouds
Vision-based localization using an edge map extracted from 3D laser range data
Topologically aware building rooftop reconstruction from airborne laser scanning point clouds
Superline3d: Self-supervised line segmentation and description for lidar point cloud
Feature line generation and regularization from point clouds
Detection of closed sharp edges in point clouds using normal estimation and graph theory
LCE-NET: Contour extraction for large-scale 3-D point clouds
Accurate and complete line segment extraction for large-scale point clouds
2.3.2 面向屋顶点云的线框生成
Model driven reconstruction of roofs from sparse LIDAR point clouds
Self-supervised pre-training for 3-D roof reconstruction on LiDAR data
Point2Roof: End-to-end 3D building roof modeling from airborne LiDAR point clouds
Detecting vertices of building roofs from ALS point cloud data
PBWR: Parametric-building-wireframe reconstruction from aerial LiDAR point clouds
BWFormer: Building Wireframe Reconstruction from Airborne LiDAR Point Cloud with Transformer
EdgeDiff: Edge-aware Diffusion Network for Building Reconstruction from Point Clouds
三、基于图像的三维线框生成方法
3.1 基于运动恢复结构的三维线段检测
Structure-from-motion using lines: Representation, triangulation, and bundle adjustment
Exploiting global connectivity constraints for reconstruction of 3D line segments from images
Incremental Line-based 3D Reconstruction using Geometric Constraints
Semi-Global 3D Line Modeling for Incremental Structure-from-Motion
Improving sparse 3D models for man-made environments using line-based 3D reconstruction
ELSR: Efficient line segment reconstruction with planes and points guidance
3.2 基于多视图立体视觉的三维线段生成
SOLD2: Self-supervised occlusion-aware line description and detection
Deeplsd: Line segment detection and refinement with deep image gradients
Mv2cyl: Reconstructing 3d extrusion cylinders from multi-view images
3D curve sketch: Flexible curve-based stereo reconstruction and calibration
3.3 基于可微渲染的三维线框生成
Nef: Neural edge fields for 3d parametric curve reconstruction from multi-view images
3D wireframe model reconstruction of buildings from multi-view images using neural implicit fields
Neat: Distilling 3d wireframes from neural attraction fields
Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction
SGCR: Spherical Gaussians for Efficient 3D Curve Reconstruction









































