[go: up one dir, main page]

Ferrari et al., 2006 - Google Patents

Free-form feature representation and comparison

Ferrari et al., 2006

View PDF
Document ID
15511724933365562
Author
Ferrari D
West G
Rolfe B
Cardew-Hall M
Publication year
Publication venue
International Design Engineering Technical Conferences and Computers and Information in Engineering Conference

External Links

Snippet

Knowledge Management systems have been applied to several areas in the manufacturing industry. These applications have been predominately text based, however, much of manufacturing's information is related to geometric features. In this paper we describe a …
Continue reading at www.academia.edu (PDF) (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
    • G06K9/62—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
    • G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
    • 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
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • 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
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • 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
    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • 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
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6251—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on a criterion of topology preservation, e.g. multidimensional scaling, self-organising maps
    • 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
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • 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
    • G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
    • 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
    • G06T7/00—Image analysis

Similar Documents

Publication Publication Date Title
Tung et al. Augmented reeb graphs for content-based retrieval of 3d mesh models
Cardone et al. A survey of shape similarity assessment algorithms for product design and manufacturing applications
CN102004922B (en) High-resolution remote sensing image plane extraction method based on skeleton characteristic
CN101055620B (en) Shape comparison device and method
CN109740227B (en) Miniature complex part modeling method based on feature recognition
Giachetti et al. Radial symmetry detection and shape characterization with the multiscale area projection transform
US20140125663A1 (en) 3d model shape analysis method based on perception information
WO2004068300A2 (en) Methods, systems, and data structures for performing searches on three dimensional objects
You et al. 3D solid model retrieval for engineering reuse based on local feature correspondence
Di Stefano et al. An approach for feature semantics recognition in geometric models
Mortara et al. Affine-invariant skeleton of 3d shapes
Sheen et al. Transformation of a thin-walled solid model into a surface model via solid deflation
Durix et al. The propagated skeleton: A robust detail-preserving approach
Xú et al. STEP-NC based reverse engineering of in-process model of NC simulation
Mandelli et al. CAD 3D Model classification by Graph Neural Networks: A new approach based on STEP format
CN116662628A (en) A 3D CAD Model Retrieval Method Based on Complex Thin-walled Parts
Hu et al. Curve skeleton extraction from 3D point clouds through hybrid feature point shifting and clustering
CN108595631B (en) Three-dimensional CAD model double-layer retrieval method based on graph theory
Guo et al. SGLBP: Subgraph‐based local binary patterns for feature extraction on point clouds
Wang et al. Reuse-oriented common structure discovery in assembly models
Takashima et al. Recognition of Free-form Features for Finite Element Meshing using Deep Learning.
Sheu et al. IDS-DLA: sheet metal part identification system for process automation using deep learning algorithms
Agathos et al. 3D articulated object retrieval using a graph-based representation
Ferrari et al. Free-form feature representation and comparison
Takaishi et al. Free-Form Feature Classification for Finite Element Meshing based on Shape Descriptors and Machine Learning.