MX353871B - Sistemas y métodos para reconocimiento basado en características de imágenes. - Google Patents

Sistemas y métodos para reconocimiento basado en características de imágenes.

Info

Publication number
MX353871B
MX353871B MX2016010267A MX2016010267A MX353871B MX 353871 B MX353871 B MX 353871B MX 2016010267 A MX2016010267 A MX 2016010267A MX 2016010267 A MX2016010267 A MX 2016010267A MX 353871 B MX353871 B MX 353871B
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MX
Mexico
Prior art keywords
systems
snapshot
index
feature
methods
Prior art date
Application number
MX2016010267A
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English (en)
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MX2016010267A (es
Inventor
HOLZSCHNEIDER Philipp
Otto Wolfgang Magers Thorsten
PRIEHN Hannes
Original Assignee
Geenee 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 Geenee Gmbh filed Critical Geenee Gmbh
Publication of MX2016010267A publication Critical patent/MX2016010267A/es
Publication of MX353871B publication Critical patent/MX353871B/es

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/5838Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • G06T11/60Editing figures and text; Combining figures or text
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/7715Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/20Scenes; Scene-specific elements in augmented reality scenes

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Library & Information Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Collating Specific Patterns (AREA)
  • Processing Or Creating Images (AREA)
  • Image Analysis (AREA)

Abstract

Se describe en la presente, los métodos y sistemas que permiten que un usuario capture una foto instantánea de imagen simple a partir de un vídeo, una impresión, o el mundo alrededor de él o ella, y para obtener información adicional relacionada al medio mismo o los artículos de interés visualizados en la foto instantánea. Una huella digital de la foto instantánea es utilizada como una búsqueda y transmitida al servidor, el Reconocimiento Basado en Características de la Imagen, como se describe en la presente, utiliza un índice de características para identificar un grupo más pequeño de coincidencias de candidatos a partir de una base de datos más grande de imágenes, basadas en la huella digital. Los novedosos métodos y los sistemas que utilizan una métrica de distancia y un diseño de tabla de fragmentación de radicales, explotan los efectos probabilísticos y permiten distintas características de imágenes para ser preferidas sobre las redundantes, permitiendo únicamente que los puntos de datos más distintivos permanezcan residentes dentro del índice, produciendo un índice de escaso o limpio que puede ser rápidamente utilizado en el proceso de identificación.
MX2016010267A 2014-02-10 2015-02-10 Sistemas y métodos para reconocimiento basado en características de imágenes. MX353871B (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201461937859P 2014-02-10 2014-02-10
PCT/IB2015/000908 WO2015125025A2 (en) 2014-02-10 2015-02-10 Systems and methods for image-feature-based recognition

Publications (2)

Publication Number Publication Date
MX2016010267A MX2016010267A (es) 2017-04-27
MX353871B true MX353871B (es) 2018-02-01

Family

ID=53488361

Family Applications (2)

Application Number Title Priority Date Filing Date
MX2018001295A MX360261B (es) 2014-02-10 2015-02-10 Sistemas y metodos para reconocimiento basado en caracteristicas de imagenes.
MX2016010267A MX353871B (es) 2014-02-10 2015-02-10 Sistemas y métodos para reconocimiento basado en características de imágenes.

Family Applications Before (1)

Application Number Title Priority Date Filing Date
MX2018001295A MX360261B (es) 2014-02-10 2015-02-10 Sistemas y metodos para reconocimiento basado en caracteristicas de imagenes.

Country Status (14)

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US (6) US9122706B1 (es)
EP (1) EP3066591B1 (es)
JP (1) JP6208898B2 (es)
KR (2) KR101887002B1 (es)
CN (1) CN106462728B (es)
AU (1) AU2015220463B2 (es)
BR (1) BR112016018389A8 (es)
CA (1) CA2939161C (es)
DK (1) DK3066591T3 (es)
ES (1) ES2752728T3 (es)
MX (2) MX360261B (es)
PL (1) PL3066591T3 (es)
SG (1) SG11201606424XA (es)
WO (1) WO2015125025A2 (es)

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Also Published As

Publication number Publication date
MX2016010267A (es) 2017-04-27
US20150227557A1 (en) 2015-08-13
US20190034732A1 (en) 2019-01-31
US9230172B2 (en) 2016-01-05
US20150227796A1 (en) 2015-08-13
US9946932B2 (en) 2018-04-17
KR20180014257A (ko) 2018-02-07
US20200234047A1 (en) 2020-07-23
KR101826815B1 (ko) 2018-02-07
US9122706B1 (en) 2015-09-01
PL3066591T4 (pl) 2020-04-30
KR20160144354A (ko) 2016-12-16
CA2939161C (en) 2017-05-09
CN106462728B (zh) 2019-07-23
EP3066591A2 (en) 2016-09-14
ES2752728T3 (es) 2020-04-06
US10929671B2 (en) 2021-02-23
DK3066591T3 (da) 2019-10-21
CN106462728A (zh) 2017-02-22
US10521667B2 (en) 2019-12-31
WO2015125025A2 (en) 2015-08-27
KR101887002B1 (ko) 2018-09-10
BR112016018389A2 (es) 2017-08-08
CA2939161A1 (en) 2015-08-27
JP2017513150A (ja) 2017-05-25
JP6208898B2 (ja) 2017-10-04
WO2015125025A3 (en) 2015-12-23
US20160110605A1 (en) 2016-04-21
PL3066591T3 (pl) 2020-04-30
SG11201606424XA (en) 2016-09-29
AU2015220463A1 (en) 2016-09-08
US20210397838A1 (en) 2021-12-23
AU2015220463B2 (en) 2017-06-01
EP3066591B1 (en) 2019-07-10
BR112016018389A8 (pt) 2022-06-28
MX360261B (es) 2018-10-26

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