SG11202003141PA - Depth estimation method and apparatus, electronic device, program, and medium - Google Patents

Depth estimation method and apparatus, electronic device, program, and medium

Info

Publication number
SG11202003141PA
SG11202003141PA SG11202003141PA SG11202003141PA SG11202003141PA SG 11202003141P A SG11202003141P A SG 11202003141PA SG 11202003141P A SG11202003141P A SG 11202003141PA SG 11202003141P A SG11202003141P A SG 11202003141PA SG 11202003141P A SG11202003141P A SG 11202003141PA
Authority
SG
Singapore
Prior art keywords
program
medium
electronic device
estimation method
depth estimation
Prior art date
Application number
SG11202003141PA
Other languages
English (en)
Inventor
Yue Luo
Sijie Ren
Original Assignee
Shenzhen Sensetime Technology 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 Shenzhen Sensetime Technology Co Ltd filed Critical Shenzhen Sensetime Technology Co Ltd
Publication of SG11202003141PA publication Critical patent/SG11202003141PA/en

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Classifications

    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • G06T7/55—Depth or shape recovery from multiple images
    • G06T7/593—Depth or shape recovery from multiple images from stereo images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
    • G06T7/85—Stereo camera calibration
    • 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
    • G06T2207/10004—Still image; Photographic image
    • 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
    • G06T2207/10004—Still image; Photographic image
    • G06T2207/10012—Stereo images
    • 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
    • G06T2207/20076—Probabilistic image processing
    • 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
    • G06T2207/20081—Training; Learning
    • 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
    • G06T2207/20084—Artificial neural networks [ANN]

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computational Linguistics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
SG11202003141PA 2018-02-01 2019-01-30 Depth estimation method and apparatus, electronic device, program, and medium SG11202003141PA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201810103195.0A CN108335322B (zh) 2018-02-01 2018-02-01 深度估计方法和装置、电子设备、程序和介质
PCT/CN2019/073820 WO2019149206A1 (zh) 2018-02-01 2019-01-30 深度估计方法和装置、电子设备、程序和介质

Publications (1)

Publication Number Publication Date
SG11202003141PA true SG11202003141PA (en) 2020-05-28

Family

ID=62928066

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202003141PA SG11202003141PA (en) 2018-02-01 2019-01-30 Depth estimation method and apparatus, electronic device, program, and medium

Country Status (6)

Country Link
US (1) US11308638B2 (zh)
JP (1) JP6951565B2 (zh)
KR (1) KR102295403B1 (zh)
CN (1) CN108335322B (zh)
SG (1) SG11202003141PA (zh)
WO (1) WO2019149206A1 (zh)

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CN111047634B (zh) * 2019-11-13 2023-08-08 杭州飞步科技有限公司 场景深度的确定方法、装置、设备及存储介质
CN112991254A (zh) * 2019-12-13 2021-06-18 上海肇观电子科技有限公司 视差估计系统、方法、电子设备及计算机可读存储介质
CN113034568B (zh) * 2019-12-25 2024-03-29 杭州海康机器人股份有限公司 一种机器视觉深度估计方法、装置、系统
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US11275959B2 (en) * 2020-07-07 2022-03-15 Assa Abloy Ab Systems and methods for enrollment in a multispectral stereo facial recognition system
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CN112489103B (zh) * 2020-11-19 2022-03-08 北京的卢深视科技有限公司 一种高分辨率深度图获取方法及系统
CN112446328B (zh) * 2020-11-27 2023-11-17 汇纳科技股份有限公司 单目深度的估计系统、方法、设备及计算机可读存储介质
CN112903952B (zh) * 2021-01-21 2022-05-27 北京航空航天大学 一种金属板结构损伤评价系统和方法
CN112861940A (zh) * 2021-01-26 2021-05-28 上海西井信息科技有限公司 双目视差估计方法、模型训练方法以及相关设备
CN112949504B (zh) * 2021-03-05 2024-03-19 深圳市爱培科技术股份有限公司 立体匹配方法、装置、设备及存储介质
CN112967332B (zh) * 2021-03-16 2023-06-16 清华大学 基于门控成像的双目深度估计方法、装置及计算机设备
CN112862877B (zh) * 2021-04-09 2024-05-17 北京百度网讯科技有限公司 用于训练图像处理网络和图像处理的方法和装置
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CN116129036B (zh) * 2022-12-02 2023-08-29 中国传媒大学 一种深度信息引导的全方向图像三维结构自动恢复方法

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Also Published As

Publication number Publication date
KR20200049833A (ko) 2020-05-08
US20200226777A1 (en) 2020-07-16
CN108335322A (zh) 2018-07-27
JP6951565B2 (ja) 2021-10-20
CN108335322B (zh) 2021-02-12
JP2020535547A (ja) 2020-12-03
KR102295403B1 (ko) 2021-08-31
WO2019149206A1 (zh) 2019-08-08
US11308638B2 (en) 2022-04-19

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