[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Dong et al., 2022 - Google Patents

Multi‐scale point cloud registration based on topological structure

Dong et al., 2022

Document ID
11764643485442753251
Author
Dong T
Zhao Y
Zhang Q
Xue B
Li J
Li W
Publication year
Publication venue
Concurrency and Computation: Practice and Experience

External Links

Snippet

The establishment of point‐to‐point correspondence between point clouds is called three‐ dimensional point matching, which is widely used in computer vision, computer graphics, robotics and other fields. When the scale of source point cloud and target point cloud are …
Continue reading at onlinelibrary.wiley.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05—Geographic models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management

Similar Documents

Publication Publication Date Title
Zhang et al. A robust, real-time ellipse detector
Schnabel et al. Efficient RANSAC for point‐cloud shape detection
Shen Accurate multiple view 3d reconstruction using patch-based stereo for large-scale scenes
Chen et al. Markov models for image labeling
CN111524168B (en) Point cloud data registration method, system and device and computer storage medium
Tsogkas et al. Amat: Medial axis transform for natural images
CN116452644A (en) Three-dimensional point cloud registration method and device based on feature descriptors and storage medium
Liu et al. A novel rock-mass point cloud registration method based on feature line extraction and feature point matching
Raina et al. Sharpness fields in point clouds using deep learning
Tran et al. Extraction of reliable primitives from unorganized point clouds
Jakob et al. Parallel globally consistent normal orientation of raw unorganized point clouds
Dey et al. Machine learning-based segmentation of aerial LiDAR point cloud data on building roof
Wang et al. Registration of 3D point clouds using a local descriptor based on grid point normal
Dong et al. Multi‐scale point cloud registration based on topological structure
Cao et al. WireframeNet: A novel method for wireframe generation from point cloud
Cao et al. Stable image matching for 3D reconstruction in outdoor
Yang et al. Weak texture remote sensing image matching based on hybrid domain features and adaptive description method
Zhang Binocular Stereo Vision
Foryś et al. Fast adaptive multimodal feature registration (FAMFR): an effective high-resolution point clouds registration workflow for cultural heritage interiors
Tao et al. A distinctive binary descriptor and 2-point RANSACWC for point cloud registration
García-Faura et al. A multi-threshold approach and a realistic error measure for vanishing point detection in natural landscapes
Jia et al. Robust line matching for image sequences based on point correspondences and line mapping
Niu et al. A symmetry-aware alignment method for photogrammetric 3D models
Seibt et al. Dense feature matching based on homographic decomposition
Gonzalez‐Aguilera et al. From 2D to 3D through modelling based on a single image