SG11202108201RA - Image depth estimation method and apparatus, electronic device, and storage medium - Google Patents

Image depth estimation method and apparatus, electronic device, and storage medium

Info

Publication number
SG11202108201RA
SG11202108201RA SG11202108201RA SG11202108201RA SG11202108201RA SG 11202108201R A SG11202108201R A SG 11202108201RA SG 11202108201R A SG11202108201R A SG 11202108201RA SG 11202108201R A SG11202108201R A SG 11202108201RA SG 11202108201R A SG11202108201R A SG 11202108201RA
Authority
SG
Singapore
Prior art keywords
electronic device
storage medium
estimation method
depth estimation
image depth
Prior art date
Application number
SG11202108201RA
Other languages
English (en)
Inventor
Yong Qi
Xiaojun Xiang
Hanqing Jiang
Guofeng Zhang
Original Assignee
Zhejiang 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 Zhejiang Sensetime Technology Development Co Ltd filed Critical Zhejiang Sensetime Technology Development Co Ltd
Publication of SG11202108201RA publication Critical patent/SG11202108201RA/en

Links

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
    • 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
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G06T3/4007—Scaling of whole images or parts thereof, e.g. expanding or contracting based on interpolation, e.g. bilinear interpolation
    • 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
    • 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
    • G06T2207/10016—Video; Image sequence
    • 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
    • G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20021—Dividing image into blocks, subimages or windows

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Studio Devices (AREA)
SG11202108201RA 2019-07-10 2019-08-21 Image depth estimation method and apparatus, electronic device, and storage medium SG11202108201RA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201910621318.4A CN112215880B (zh) 2019-07-10 2019-07-10 一种图像深度估计方法及装置、电子设备、存储介质
PCT/CN2019/101778 WO2021003807A1 (zh) 2019-07-10 2019-08-21 一种图像深度估计方法及装置、电子设备、存储介质

Publications (1)

Publication Number Publication Date
SG11202108201RA true SG11202108201RA (en) 2021-09-29

Family

ID=74047542

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202108201RA SG11202108201RA (en) 2019-07-10 2019-08-21 Image depth estimation method and apparatus, electronic device, and storage medium

Country Status (7)

Country Link
US (1) US20210350559A1 (zh)
JP (1) JP7116262B2 (zh)
KR (1) KR20210089737A (zh)
CN (1) CN112215880B (zh)
SG (1) SG11202108201RA (zh)
TW (1) TWI738196B (zh)
WO (1) WO2021003807A1 (zh)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11688090B2 (en) 2021-03-16 2023-06-27 Toyota Research Institute, Inc. Shared median-scaling metric for multi-camera self-supervised depth evaluation
CN113313742A (zh) * 2021-05-06 2021-08-27 Oppo广东移动通信有限公司 图像深度估计方法、装置、电子设备及计算机存储介质
TWI817594B (zh) * 2022-07-04 2023-10-01 鴻海精密工業股份有限公司 圖像深度識別方法、電腦設備及儲存介質
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

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6487304B1 (en) * 1999-06-16 2002-11-26 Microsoft Corporation Multi-view approach to motion and stereo
US7889905B2 (en) * 2005-05-23 2011-02-15 The Penn State Research Foundation Fast 3D-2D image registration method with application to continuously guided endoscopy
GB2506338A (en) * 2012-07-30 2014-04-02 Sony Comp Entertainment Europe A method of localisation and mapping
US9576183B2 (en) * 2012-11-02 2017-02-21 Qualcomm Incorporated Fast initialization for monocular visual SLAM
US9519972B2 (en) * 2013-03-13 2016-12-13 Kip Peli P1 Lp Systems and methods for synthesizing images from image data captured by an array camera using restricted depth of field depth maps in which depth estimation precision varies
CN105007495B (zh) * 2015-08-20 2018-07-20 上海玮舟微电子科技有限公司 一种基于多层3drs的差异估计方法及装置
US11037361B2 (en) * 2016-08-19 2021-06-15 Movidius Ltd. Path planning using sparse volumetric data
TWI756365B (zh) * 2017-02-15 2022-03-01 美商脫其泰有限責任公司 圖像分析系統及相關方法
CN108010081B (zh) * 2017-12-01 2021-12-17 中山大学 一种基于Census变换和局部图优化的RGB-D视觉里程计方法
CN108520554B (zh) * 2018-04-12 2022-05-10 无锡信捷电气股份有限公司 一种基于orb-slam2的双目三维稠密建图方法
CN108648274B (zh) * 2018-05-10 2020-05-22 华南理工大学 一种视觉slam的认知点云地图创建系统
CN109993113B (zh) * 2019-03-29 2023-05-02 东北大学 一种基于rgb-d和imu信息融合的位姿估计方法

Also Published As

Publication number Publication date
TW202103106A (zh) 2021-01-16
TWI738196B (zh) 2021-09-01
KR20210089737A (ko) 2021-07-16
WO2021003807A1 (zh) 2021-01-14
CN112215880A (zh) 2021-01-12
CN112215880B (zh) 2022-05-06
JP7116262B2 (ja) 2022-08-09
JP2022515517A (ja) 2022-02-18
US20210350559A1 (en) 2021-11-11

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