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

Zhang et al., 2020 - Google Patents

Hybrid feature CNN model for point cloud classification and segmentation

Zhang et al., 2020

View PDF @Full View
Document ID
10301250308077697385
Author
Zhang X
Fu C
Zhao Y
Xu X
Publication year
Publication venue
IET Image Processing

External Links

Snippet

This study proposes a hybrid feature convolutional neural network (HFCNN) model for the complete description of three‐dimensional (3D) point cloud features. The HFCNN confers sensitivity to the local, global, and single‐point properties simultaneously by a feature vector …
Continue reading at ietresearch.onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30587Details of specialised database models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q10/00Administration; Management
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models

Similar Documents

Publication Publication Date Title
Chaudhuri et al. Learning generative models of 3d structures
Perez-Perez et al. Scan2BIM-NET: Deep learning method for segmentation of point clouds for scan-to-BIM
Xie et al. Point clouds learning with attention-based graph convolution networks
KR102635777B1 (en) Methods and apparatus, electronic devices and storage media for detecting molecular binding sites
CN112200266B (en) Network training method and device based on graph structure data and node classification method
Sun et al. PGCNet: patch graph convolutional network for point cloud segmentation of indoor scenes
Zhang et al. Hybrid feature CNN model for point cloud classification and segmentation
Biasotti et al. Mathematical tools for shape analysis and description
Liu et al. Finding surface correspondences using symmetry axis curves
CN117033609A (en) Text visual question-answering method, device, computer equipment and storage medium
Xu et al. Three-dimensional object detection with deep neural networks for automatic as-built reconstruction
Li et al. Multiscale receptive fields graph attention network for point cloud classification
Xin et al. Digitalization system of ancient architecture decoration art based on neural network and image features
Tan et al. SASO: Joint 3D semantic‐instance segmentation via multi‐scale semantic association and salient point clustering optimization
Yang et al. Automated semantics and topology representation of residential-building space using floor-plan raster maps
Zhang et al. End‐to‐end generation of structural topology for complex architectural layouts with graph neural networks
CN116431827A (en) Information processing method, information processing device, storage medium and computer equipment
Vázquez‐Delgado et al. Real‐time multi‐window stereo matching algorithm with fuzzy logic
Li et al. [Retracted] Deep‐Learning‐Based 3D Reconstruction: A Review and Applications
Wang et al. A tooth surface design method combining semantic guidance, confidence, and structural coherence
Lian et al. SORCNet: robust non-rigid shape correspondence with enhanced descriptors by Shared Optimized Res-CapsuleNet
Yuan et al. A survey of recent 3D scene analysis and processing methods
Lu et al. PUConv: Upsampling convolutional network for point cloud semantic segmentation
Yin et al. Recognition of 3D Shapes Based on 3V‐DepthPano CNN
Guanglong et al. [Retracted] Correlation Analysis between the Emotion and Aesthetics for Chinese Classical Garden Design Based on Deep Transfer Learning