SG11202100556YA - Image disparity estimation - Google Patents

Image disparity estimation

Info

Publication number
SG11202100556YA
SG11202100556YA SG11202100556YA SG11202100556YA SG11202100556YA SG 11202100556Y A SG11202100556Y A SG 11202100556YA SG 11202100556Y A SG11202100556Y A SG 11202100556YA SG 11202100556Y A SG11202100556Y A SG 11202100556YA SG 11202100556Y A SG11202100556Y A SG 11202100556YA
Authority
SG
Singapore
Prior art keywords
disparity estimation
image disparity
image
estimation
disparity
Prior art date
Application number
SG11202100556YA
Inventor
Jianping Shi
Original Assignee
Beijing Sensetime Technology Development Co Ltd
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 Beijing Sensetime Technology Development Co Ltd filed Critical Beijing Sensetime Technology Development Co Ltd
Publication of SG11202100556YA publication Critical patent/SG11202100556YA/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/50Depth or shape recovery
    • G06T7/55Depth or shape recovery from multiple images
    • G06T7/593Depth or shape recovery from multiple images from stereo images
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2155Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the incorporation of unlabelled data, e.g. multiple instance learning [MIL], semi-supervised techniques using expectation-maximisation [EM] or naïve labelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/088Non-supervised learning, e.g. competitive learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/24Aligning, centring, orientation detection or correction of the image
    • 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
    • G06V10/44Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • 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
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • 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
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/048Activation functions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Multimedia (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
SG11202100556YA 2018-07-25 2019-07-23 Image disparity estimation SG11202100556YA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201810824486.9A CN109191515B (en) 2018-07-25 2018-07-25 Image parallax estimation method and device and storage medium
PCT/CN2019/097307 WO2020020160A1 (en) 2018-07-25 2019-07-23 Image parallax estimation

Publications (1)

Publication Number Publication Date
SG11202100556YA true SG11202100556YA (en) 2021-03-30

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202100556YA SG11202100556YA (en) 2018-07-25 2019-07-23 Image disparity estimation

Country Status (5)

Country Link
US (1) US20210142095A1 (en)
JP (1) JP7108125B2 (en)
CN (1) CN109191515B (en)
SG (1) SG11202100556YA (en)
WO (1) WO2020020160A1 (en)

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WO2020027233A1 (en) 2018-07-31 2020-02-06 ソニーセミコンダクタソリューションズ株式会社 Imaging device and vehicle control system
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CN110060230B (en) * 2019-01-18 2021-11-26 商汤集团有限公司 Three-dimensional scene analysis method, device, medium and equipment
CN110163246B (en) * 2019-04-08 2021-03-30 杭州电子科技大学 Monocular light field image unsupervised depth estimation method based on convolutional neural network
CN110148179A (en) * 2019-04-19 2019-08-20 北京地平线机器人技术研发有限公司 A kind of training is used to estimate the neural net model method, device and medium of image parallactic figure
CN110060264B (en) * 2019-04-30 2021-03-23 北京市商汤科技开发有限公司 Neural network training method, video frame processing method, device and system
CN110378201A (en) * 2019-06-05 2019-10-25 浙江零跑科技有限公司 A kind of hinged angle measuring method of multiple row vehicle based on side ring view fisheye camera input
CN110310317A (en) * 2019-06-28 2019-10-08 西北工业大学 A method of the monocular vision scene depth estimation based on deep learning
CN110728707B (en) * 2019-10-18 2022-02-25 陕西师范大学 Multi-view depth prediction method based on asymmetric depth convolution neural network
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CN111192238B (en) * 2019-12-17 2022-09-20 南京理工大学 Nondestructive blood vessel three-dimensional measurement method based on self-supervision depth network
CN111768434A (en) * 2020-06-29 2020-10-13 Oppo广东移动通信有限公司 Disparity map acquisition method and device, electronic equipment and storage medium
CN112634341B (en) * 2020-12-24 2021-09-07 湖北工业大学 Method for constructing depth estimation model of multi-vision task cooperation
CN112767468B (en) * 2021-02-05 2023-11-03 中国科学院深圳先进技术研究院 Self-supervision three-dimensional reconstruction method and system based on collaborative segmentation and data enhancement
JP2023041286A (en) * 2021-09-13 2023-03-24 日立Astemo株式会社 Image processing device and image processing method
CN113807251A (en) * 2021-09-17 2021-12-17 哈尔滨理工大学 Sight estimation method based on appearance
CN113808187A (en) * 2021-09-18 2021-12-17 京东鲲鹏(江苏)科技有限公司 Disparity map generation method and device, electronic equipment and computer readable medium
US20230140170A1 (en) * 2021-10-28 2023-05-04 Samsung Electronics Co., Ltd. System and method for depth and scene reconstruction for augmented reality or extended reality devices
CN114528976B (en) * 2022-01-24 2023-01-03 北京智源人工智能研究院 Equal transformation network training method and device, electronic equipment and storage medium
CN114782911B (en) * 2022-06-20 2022-09-16 小米汽车科技有限公司 Image processing method, device, equipment, medium, chip and vehicle
CN117422750A (en) * 2023-10-30 2024-01-19 河南送变电建设有限公司 Scene distance real-time sensing method and device, electronic equipment and storage medium
CN117789971B (en) * 2024-02-13 2024-05-24 长春职业技术学院 Mental health intelligent evaluation system and method based on text emotion analysis

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CN109191515B (en) * 2018-07-25 2021-06-01 北京市商汤科技开发有限公司 Image parallax estimation method and device and storage medium

Also Published As

Publication number Publication date
WO2020020160A1 (en) 2020-01-30
CN109191515A (en) 2019-01-11
CN109191515B (en) 2021-06-01
JP7108125B2 (en) 2022-07-27
JP2021531582A (en) 2021-11-18
US20210142095A1 (en) 2021-05-13

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