MX2021014926A - Sistema y metodo para el reconocimiento de objetos utilizando herramientas de mapeo tridimensionales en una aplicacion de vision artificial. - Google Patents

Sistema y metodo para el reconocimiento de objetos utilizando herramientas de mapeo tridimensionales en una aplicacion de vision artificial.

Info

Publication number
MX2021014926A
MX2021014926A MX2021014926A MX2021014926A MX2021014926A MX 2021014926 A MX2021014926 A MX 2021014926A MX 2021014926 A MX2021014926 A MX 2021014926A MX 2021014926 A MX2021014926 A MX 2021014926A MX 2021014926 A MX2021014926 A MX 2021014926A
Authority
MX
Mexico
Prior art keywords
scene
luminescence spectral
recognized
pattern
computer vision
Prior art date
Application number
MX2021014926A
Other languages
English (en)
Inventor
Yunus Emre Kurtoglu
Matthew Ian Childers
Original Assignee
Basf Coatings Gmbh
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Basf Coatings Gmbh filed Critical Basf Coatings Gmbh
Publication of MX2021014926A publication Critical patent/MX2021014926A/es

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • G01B11/25Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object
    • G01B11/2545Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object with one projection direction and several detection directions, e.g. stereo
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • G01B11/25Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object
    • G01B11/2513Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object with several lines being projected in more than one direction, e.g. grids, patterns
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/10Image acquisition
    • G06V10/12Details of acquisition arrangements; Constructional details thereof
    • G06V10/14Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/145Illumination specially adapted for pattern recognition, e.g. using gratings
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/60Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/64Three-dimensional objects
    • G06V20/653Three-dimensional objects by matching three-dimensional models, e.g. conformal mapping of Riemann surfaces

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Measurement Of Optical Distance (AREA)
  • Image Processing (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Image Analysis (AREA)
  • Photometry And Measurement Of Optical Pulse Characteristics (AREA)

Abstract

La presente invención se refiere a un sistema y un método para el reconocimiento de objetos por medio de una aplicación de visión artificial, en donde el sistema comprende al menos los siguientes componentes: - un objeto (130, 130') que se va a reconocer, teniendo el objeto patrones espectrales de reflectancia y luminiscencia específicos del objeto, - una fuente de luz (110, 110') que está configurada para proyectar al menos un patrón de luz en una escena (140, 140') que incluye el objeto que se va a reconocer, - un sensor (120, 121, 120') que está configurado para medir los datos de radiancia de la escena que incluye el objeto cuando la escena está iluminada por la fuente de luz, - una unidad de almacenamiento de datos que comprende patrones espectrales de luminiscencia junto con objetos respectivos asignados apropiadamente, - una unidad de procesamiento que está configurada para detectar el patrón espectral de luminiscencia específico del objeto del objeto que se va a reconocer a partir de los datos de radiancia de la escena (140, 140') y hacer coincidir el patrón espectral de luminiscencia específico del objeto detectado con los patrones espectrales de luminiscencia almacenados en la unidad de almacenamiento de datos, e identifique un patrón espectral de luminiscencia que coincida mejor y, por lo tanto, su objeto asignado y calcular una distancia, una forma, una profundidad y/o una información de la superficie del objeto (130, 130') identificado en la escena (140, 140') por las características de reflectancia medidas por el sensor(120, 121, 120').
MX2021014926A 2019-06-07 2020-06-05 Sistema y metodo para el reconocimiento de objetos utilizando herramientas de mapeo tridimensionales en una aplicacion de vision artificial. MX2021014926A (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201962858355P 2019-06-07 2019-06-07
EP19179172 2019-06-07
PCT/EP2020/065748 WO2020245441A1 (en) 2019-06-07 2020-06-05 System and method for object recognition using three dimensional mapping tools in a computer vision application

Publications (1)

Publication Number Publication Date
MX2021014926A true MX2021014926A (es) 2022-01-24

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
MX2021014926A MX2021014926A (es) 2019-06-07 2020-06-05 Sistema y metodo para el reconocimiento de objetos utilizando herramientas de mapeo tridimensionales en una aplicacion de vision artificial.

Country Status (12)

Country Link
US (1) US20220319205A1 (es)
EP (1) EP3980924A1 (es)
JP (1) JP7225435B2 (es)
KR (1) KR20220004735A (es)
CN (1) CN113811885A (es)
AU (1) AU2020286971A1 (es)
BR (1) BR112021019029A2 (es)
CA (1) CA3140186A1 (es)
MX (1) MX2021014926A (es)
SG (1) SG11202113366VA (es)
TW (1) TW202113674A (es)
WO (1) WO2020245441A1 (es)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023180178A1 (en) 2022-03-23 2023-09-28 Basf Coatings Gmbh System and method for object recognition utilizing color identification and/or machine learning
US11960968B2 (en) * 2022-08-25 2024-04-16 Omron Corporation Scanning device utilizing separate light pattern sequences based on target distance
TWI821050B (zh) * 2022-11-28 2023-11-01 中國鋼鐵股份有限公司 泛用型遠端專家擴增實境協作系統

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DE19858456A1 (de) * 1998-12-18 2000-07-06 Leica Microsystems Verfahren zum Auffinden, zur Aufnahme und gegebenenfalls zur Auswertung von Objektstrukturen
WO2004044557A2 (en) * 2002-11-12 2004-05-27 Argose, Inc. Non-invasive measurement of analytes
US20060118738A1 (en) * 2003-06-26 2006-06-08 Ncr Corporation Security markers for ascertaining navigational information
WO2007099540A2 (en) * 2006-03-01 2007-09-07 Green Vision Systems Ltd. Processing and analyzing hyper-spectral image data and information via dynamic database updating
US7995196B1 (en) * 2008-04-23 2011-08-09 Tracer Detection Technology Corp. Authentication method and system
US9117133B2 (en) * 2008-06-18 2015-08-25 Spectral Image, Inc. Systems and methods for hyperspectral imaging
US9234618B1 (en) * 2012-09-27 2016-01-12 Google Inc. Characterizing optically reflective features via hyper-spectral sensor
US9448110B2 (en) * 2012-09-27 2016-09-20 Northrop Grumman Systems Corporation Three-dimensional hyperspectral imaging systems and methods using a light detection and ranging (LIDAR) focal plane array
JP2018514748A (ja) 2015-02-06 2018-06-07 ザ ユニバーシティ オブ アクロンThe University of Akron 光学撮像システムおよびその方法
GB2553941B (en) * 2015-03-06 2021-02-17 Micromass Ltd Chemically guided ambient ionisation mass spectrometry
SG11201909024XA (en) * 2015-10-19 2019-11-28 Skansense S L U Obtaining data from targets using imagery and other remote sensing data
JP6810167B2 (ja) 2016-05-27 2021-01-06 ヴェリリー ライフ サイエンシズ エルエルシー 4dハイパースペクトル撮像のためのシステムおよび方法
US10482340B2 (en) * 2016-12-06 2019-11-19 Samsung Electronics Co., Ltd. System and method for object recognition and ranging by deformation of projected shapes in a multimodal vision and sensing system for autonomous devices
EP3652935B1 (en) 2017-07-12 2023-10-18 Gentex Corporation Systems and methods for acquiring information from an environment
US11067448B2 (en) * 2018-10-05 2021-07-20 Parsons Corporation Spectral object detection

Also Published As

Publication number Publication date
JP2022536298A (ja) 2022-08-15
EP3980924A1 (en) 2022-04-13
AU2020286971A1 (en) 2022-01-06
WO2020245441A1 (en) 2020-12-10
CA3140186A1 (en) 2020-12-10
TW202113674A (zh) 2021-04-01
BR112021019029A2 (pt) 2021-12-21
US20220319205A1 (en) 2022-10-06
KR20220004735A (ko) 2022-01-11
JP7225435B2 (ja) 2023-02-20
CN113811885A (zh) 2021-12-17
SG11202113366VA (en) 2021-12-30

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