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
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 (en) 2019-07-10 2019-07-10 Image depth estimation method and device, electronic equipment and storage medium
PCT/CN2019/101778 WO2021003807A1 (en) 2019-07-10 2019-08-21 Image depth estimation method and device, electronic apparatus, and storage medium

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 (en)
JP (1) JP7116262B2 (en)
KR (1) KR20210089737A (en)
CN (1) CN112215880B (en)
SG (1) SG11202108201RA (en)
TW (1) TWI738196B (en)
WO (1) WO2021003807A1 (en)

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 (en) * 2021-05-06 2021-08-27 Oppo广东移动通信有限公司 Image depth estimation method and device, electronic equipment and computer storage medium
TWI817594B (en) * 2022-07-04 2023-10-01 鴻海精密工業股份有限公司 Method for identifying depth image, computer device and storage medium
CN116129036B (en) * 2022-12-02 2023-08-29 中国传媒大学 Depth information guided omnidirectional image three-dimensional structure automatic recovery method

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 (en) * 2015-08-20 2018-07-20 上海玮舟微电子科技有限公司 A kind of difference estimation method and device based on multilayer 3DRS
US11037361B2 (en) * 2016-08-19 2021-06-15 Movidius Ltd. Path planning using sparse volumetric data
TWI756365B (en) * 2017-02-15 2022-03-01 美商脫其泰有限責任公司 Image analysis systems and related methods
CN108010081B (en) * 2017-12-01 2021-12-17 中山大学 RGB-D visual odometer method based on Census transformation and local graph optimization
CN108520554B (en) * 2018-04-12 2022-05-10 无锡信捷电气股份有限公司 Binocular three-dimensional dense mapping method based on ORB-SLAM2
CN108648274B (en) * 2018-05-10 2020-05-22 华南理工大学 Cognitive point cloud map creating system of visual SLAM
CN109993113B (en) * 2019-03-29 2023-05-02 东北大学 Pose estimation method based on RGB-D and IMU information fusion

Also Published As

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

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