MX2017009709A - Metodo para clasificar la autoria de una pintura y un uso correspondiente. - Google Patents

Metodo para clasificar la autoria de una pintura y un uso correspondiente.

Info

Publication number
MX2017009709A
MX2017009709A MX2017009709A MX2017009709A MX2017009709A MX 2017009709 A MX2017009709 A MX 2017009709A MX 2017009709 A MX2017009709 A MX 2017009709A MX 2017009709 A MX2017009709 A MX 2017009709A MX 2017009709 A MX2017009709 A MX 2017009709A
Authority
MX
Mexico
Prior art keywords
painting
original
additional
classification data
authenticity
Prior art date
Application number
MX2017009709A
Other languages
English (en)
Inventor
Scholzen Werner
Original Assignee
Scholzen Werner
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 Scholzen Werner filed Critical Scholzen Werner
Publication of MX2017009709A publication Critical patent/MX2017009709A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/56—Extraction of image or video features relating to colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/758—Involving statistics of pixels or of feature values, e.g. histogram matching
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B44—DECORATIVE ARTS
    • B44F—SPECIAL DESIGNS OR PICTURES
    • B44F11/00—Designs imitating artistic work
    • B44F11/02—Imitation of pictures, e.g. oil paintings
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20024—Filtering details

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Image Analysis (AREA)
  • Storage Device Security (AREA)
  • Processing Or Creating Images (AREA)
  • Editing Of Facsimile Originals (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

La invención describe un método para la clasificación de autoría de una pintura que comprende las etapas de: a) proporcionar (10) una colección de varias pinturas originales de un artista determinado y producir (20) en cada caso al menos una copia digital de cada pintura original de la colección de varias pinturas originales; b) registrar (30) los datos de clasificación para cada una de las copias digitales de cada pintura original de la colección usando el teorema WND-CHARM, siendo que los datos de clasificación son un conjunto de datos de referencia de datos de clasificación para pinturas originales del artista; c) proporcionar (40) otra pintura y producir (50) al menos una copia digital de la otra pintura; d) registrar (60) otros datos de clasificación para la copia digital de la otra pintura usando el teorema WND-CHARM; y e) comprar (70) los otros datos de clasificación con el conjunto de datos de referencia de catos de clasificación para pinturas originales, siendo que al alcanzarse o excederse una coincidencia mínima entre los otros datos de clasificación y el conjunto de datos de referencia se estima que se trata de una pintura original del artista y en caso contrario de una falsificación. (Figura 1).
MX2017009709A 2016-08-25 2017-07-26 Metodo para clasificar la autoria de una pintura y un uso correspondiente. MX2017009709A (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102016115837.2A DE102016115837A1 (de) 2016-08-25 2016-08-25 Verfahren für die Urheberschaftsbewertung eines Gemäldes sowie eine entsprechende Verwendung

Publications (1)

Publication Number Publication Date
MX2017009709A true MX2017009709A (es) 2018-09-10

Family

ID=59655845

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2017009709A MX2017009709A (es) 2016-08-25 2017-07-26 Metodo para clasificar la autoria de una pintura y un uso correspondiente.

Country Status (12)

Country Link
US (1) US10546213B2 (es)
EP (1) EP3287951B1 (es)
JP (1) JP2018032400A (es)
KR (1) KR20180023847A (es)
CN (1) CN107563427A (es)
BR (1) BR102017016827A8 (es)
CA (1) CA2975054A1 (es)
DE (1) DE102016115837A1 (es)
ES (1) ES2863300T3 (es)
MX (1) MX2017009709A (es)
RU (1) RU2745098C2 (es)
ZA (1) ZA201705185B (es)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2769652C2 (ru) * 2017-05-16 2022-04-04 Албертус Баренд ГЕЛДЕНХЕЙС Обработка мельчайших деталей цифровых данных для анализа культурных артефактов
KR102102403B1 (ko) * 2018-06-19 2020-04-21 한밭대학교 산학협력단 위조 영상 인쇄물 감식을 통한 코드인증방법과 그 응용 시스템
CN112100684B (zh) * 2020-03-27 2021-05-07 蝶链科技(深圳)有限公司 用于置信度分析的区块链操作系统及方法
WO2022120008A1 (en) * 2020-12-03 2022-06-09 Kansas State University Research Foundation A machine learning method and computing device for art authentication
US11948386B1 (en) 2023-07-06 2024-04-02 SpaceFarm LLC Artwork authenticity systems and methods

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001097163A2 (en) * 2000-06-16 2001-12-20 Asahi Garou Kabushikigaisha Work identification system and signature management system
JP4161659B2 (ja) * 2002-02-27 2008-10-08 日本電気株式会社 画像認識システム及びその認識方法並びにプログラム
US7379594B2 (en) 2004-01-28 2008-05-27 Sharp Laboratories Of America, Inc. Methods and systems for automatic detection of continuous-tone regions in document images
EP2257909B1 (en) * 2008-03-20 2015-05-13 Université de Genève Secure item identification and authentication system and method based on unclonable features
DE102009041757A1 (de) * 2009-05-20 2010-12-09 Werner Scholzen Vorrichtung und Verfahren zum Herkunftsnachweis und Urheberschaft von Bildern
EP2555160B1 (de) 2011-08-05 2013-10-09 Sick Ag Erzeugung eines in interessante und uninteressante Bereiche vorsegmentierten Bildes
US8837820B2 (en) * 2012-05-25 2014-09-16 Xerox Corporation Image selection based on photographic style
JP6044138B2 (ja) * 2012-07-05 2016-12-14 カシオ計算機株式会社 画像領域分割装置、方法、およびプログラム
CN103116755B (zh) * 2013-01-27 2016-01-06 深圳市书圣艺术品防伪鉴定有限公司 书画真伪度自动检测系统及其方法
US9202129B2 (en) 2013-03-12 2015-12-01 Qualcomm Incorporated Reducing object detection time by utilizing space localization of features
CN103336942A (zh) * 2013-04-28 2013-10-02 中山大学 一种基于Radon BEMD变换的国画鉴定方法
EP2921989A1 (en) * 2014-03-17 2015-09-23 Université de Genève Method for object recognition and/or verification on portable devices
CN104217221A (zh) * 2014-08-27 2014-12-17 重庆大学 基于纹理特征的书画作品检测方法
CN107909102A (zh) * 2017-11-10 2018-04-13 天津大学 一种组织病理图像的分类方法

Also Published As

Publication number Publication date
RU2017129926A3 (es) 2020-10-02
BR102017016827A8 (pt) 2023-04-11
EP3287951B1 (de) 2021-01-20
RU2745098C2 (ru) 2021-03-19
ES2863300T3 (es) 2021-10-11
DE102016115837A1 (de) 2018-03-01
US10546213B2 (en) 2020-01-28
JP2018032400A (ja) 2018-03-01
CA2975054A1 (en) 2018-02-25
BR102017016827A2 (pt) 2018-10-30
ZA201705185B (en) 2019-07-31
EP3287951A1 (de) 2018-02-28
RU2017129926A (ru) 2019-02-25
US20180060692A1 (en) 2018-03-01
CN107563427A (zh) 2018-01-09
KR20180023847A (ko) 2018-03-07

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