BR112018069528A2 - método e sistema para analisar uma imagem. - Google Patents

método e sistema para analisar uma imagem.

Info

Publication number
BR112018069528A2
BR112018069528A2 BR112018069528A BR112018069528A BR112018069528A2 BR 112018069528 A2 BR112018069528 A2 BR 112018069528A2 BR 112018069528 A BR112018069528 A BR 112018069528A BR 112018069528 A BR112018069528 A BR 112018069528A BR 112018069528 A2 BR112018069528 A2 BR 112018069528A2
Authority
BR
Brazil
Prior art keywords
distance
dimensional
cell
physical environment
image
Prior art date
Application number
BR112018069528A
Other languages
English (en)
Inventor
Padhye Shantanu
Phillips Sian
Original Assignee
Crown Equip Corp
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 Crown Equip Corp filed Critical Crown Equip Corp
Publication of BR112018069528A2 publication Critical patent/BR112018069528A2/pt

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G06T7/74—Determining position or orientation of objects or cameras using feature-based methods involving reference images or patches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
    • G06T7/337—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving reference images or patches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • 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
    • G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/64—Three-dimensional objects
    • G06V20/647—Three-dimensional objects by matching two-dimensional images to three-dimensional objects
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10028—Range image; Depth image; 3D point clouds
    • 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
    • G06T2207/20036—Morphological image processing
    • G06T2207/20041—Distance transform
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30248—Vehicle exterior or interior
    • G06T2207/30252—Vehicle exterior; Vicinity of vehicle

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

uma imagem de um ambiente físico é adquirida que compreende uma pluralidade de pixels, cada pixel incluindo uma localização de pixel bidimensional no plano da imagem e um valor de profundidade correspondente a uma distância entre uma região do ambiente físico e o plano da imagem. para cada pixel, a localização de pixel bidimensional e o valor da profundidade são convertidos em um ponto tridimensional correspondente no ambiente físico definido por três componentes de coordenadas, cada um dos quais tem um valor em unidades físicas de medida. um conjunto de pontos da borda é determinado dentro da pluralidade de pontos tridimensionais com base, pelo menos em parte, no componente de coordenada z da pluralidade de pontos e um mapa de distância é gerado compreendendo uma matriz de células. para cada célula do mapa de distância, é atribuído um valor de distância representando uma distância entre a célula e o ponto da borda mais próximo daquela célula.
BR112018069528A 2016-04-27 2017-04-07 método e sistema para analisar uma imagem. BR112018069528A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/139,394 US9990535B2 (en) 2016-04-27 2016-04-27 Pallet detection using units of physical length
PCT/US2017/026493 WO2017189210A1 (en) 2016-04-27 2017-04-07 Pallet detection using units of physical length

Publications (1)

Publication Number Publication Date
BR112018069528A2 true BR112018069528A2 (pt) 2019-01-22

Family

ID=58692560

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112018069528A BR112018069528A2 (pt) 2016-04-27 2017-04-07 método e sistema para analisar uma imagem.

Country Status (9)

Country Link
US (1) US9990535B2 (pt)
EP (1) EP3449466B1 (pt)
KR (1) KR102326097B1 (pt)
CN (1) CN108885792B (pt)
AU (1) AU2017255410B2 (pt)
BR (1) BR112018069528A2 (pt)
CA (1) CA3020661A1 (pt)
MX (1) MX2018013090A (pt)
WO (1) WO2017189210A1 (pt)

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US20170316253A1 (en) 2017-11-02
AU2017255410B2 (en) 2021-10-14
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CA3020661A1 (en) 2017-11-02
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