CA3280234A1 - Method and system for monocular depth estimation of persons - Google Patents

Method and system for monocular depth estimation of persons

Info

Publication number
CA3280234A1
CA3280234A1 CA3280234A CA3280234A CA3280234A1 CA 3280234 A1 CA3280234 A1 CA 3280234A1 CA 3280234 A CA3280234 A CA 3280234A CA 3280234 A CA3280234 A CA 3280234A CA 3280234 A1 CA3280234 A1 CA 3280234A1
Authority
CA
Canada
Prior art keywords
persons
depth estimation
monocular depth
monocular
estimation
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CA3280234A
Other languages
English (en)
Inventor
Colin J. Brown
Louis Harbour
Original Assignee
Hinge Health Inc
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 Hinge Health Inc filed Critical Hinge Health Inc
Priority to CA3280234A priority Critical patent/CA3280234A1/en
Publication of CA3280234A1 publication Critical patent/CA3280234A1/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/048—Activation functions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06T7/75—Determining position or orientation of objects or cameras using feature-based methods involving models
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06T2207/30196—Human being; Person

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Analysis (AREA)
CA3280234A 2019-06-14 2019-06-14 Method and system for monocular depth estimation of persons Pending CA3280234A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CA3280234A CA3280234A1 (en) 2019-06-14 2019-06-14 Method and system for monocular depth estimation of persons

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CA3046612A CA3046612C (en) 2019-06-14 2019-06-14 Method and system for monocular depth estimation of persons
CA3280234A CA3280234A1 (en) 2019-06-14 2019-06-14 Method and system for monocular depth estimation of persons

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
CA3046612A Division CA3046612C (en) 2019-06-14 2019-06-14 Method and system for monocular depth estimation of persons

Publications (1)

Publication Number Publication Date
CA3280234A1 true CA3280234A1 (en) 2025-10-30

Family

ID=73781888

Family Applications (2)

Application Number Title Priority Date Filing Date
CA3280234A Pending CA3280234A1 (en) 2019-06-14 2019-06-14 Method and system for monocular depth estimation of persons
CA3046612A Active CA3046612C (en) 2019-06-14 2019-06-14 Method and system for monocular depth estimation of persons

Family Applications After (1)

Application Number Title Priority Date Filing Date
CA3046612A Active CA3046612C (en) 2019-06-14 2019-06-14 Method and system for monocular depth estimation of persons

Country Status (6)

Country Link
US (4) US11354817B2 (cg-RX-API-DMAC7.html)
EP (1) EP3983997A4 (cg-RX-API-DMAC7.html)
JP (1) JP7499280B2 (cg-RX-API-DMAC7.html)
KR (1) KR20220024494A (cg-RX-API-DMAC7.html)
CA (2) CA3280234A1 (cg-RX-API-DMAC7.html)
WO (1) WO2020250046A1 (cg-RX-API-DMAC7.html)

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Publication number Priority date Publication date Assignee Title
CA3280234A1 (en) 2019-06-14 2025-10-30 Hinge Health, Inc. Method and system for monocular depth estimation of persons
WO2021186222A1 (en) * 2020-03-20 2021-09-23 Wrnch Inc. Markerless motion capture of hands with multiple pose estimation engines
EP4009277A1 (en) * 2020-12-03 2022-06-08 Tata Consultancy Services Limited Methods and systems for generating end-to-end model to estimate 3-dimensional(3-d) pose of object
CN114036969B (zh) * 2021-03-16 2023-07-25 上海大学 一种多视角情况下的3d人体动作识别算法
US12100156B2 (en) 2021-04-12 2024-09-24 Snap Inc. Garment segmentation
WO2023022709A1 (en) * 2021-08-17 2023-02-23 Innopeak Technology, Inc. Real-time hand-held markerless human motion recording and avatar rendering in a mobile platform
KR102636549B1 (ko) * 2021-08-31 2024-02-14 광주과학기술원 노이즈 개선 네트워크 기반 보행 인식 장치 및 방법
US11670059B2 (en) 2021-09-01 2023-06-06 Snap Inc. Controlling interactive fashion based on body gestures
US11983826B2 (en) 2021-09-30 2024-05-14 Snap Inc. 3D upper garment tracking
US11636662B2 (en) 2021-09-30 2023-04-25 Snap Inc. Body normal network light and rendering control
US11651572B2 (en) 2021-10-11 2023-05-16 Snap Inc. Light and rendering of garments
CN114742698B (zh) * 2022-04-24 2025-05-30 天津大学 基于深度生成模型的威亚线擦除方法、设备及存储介质
US12394082B2 (en) * 2022-08-16 2025-08-19 Verizon Patent And Licensing Inc. Methods and systems for resolving 3D positions of multiple objects present within a 3D space
CN116205984A (zh) * 2022-08-26 2023-06-02 安徽工布智造工业科技有限公司 基于单目视觉的立方体视差校正设备的视差校正算法
CN116188555B (zh) * 2022-12-09 2025-12-12 合肥工业大学 一种基于深度网络与运动信息的单目室内深度估计算法
WO2024128124A1 (ja) * 2022-12-15 2024-06-20 日本電気株式会社 学習装置、推定装置、学習方法、推定方法ならびに記録媒体
US20240296582A1 (en) * 2023-03-01 2024-09-05 Purdue Research Foundation Pose relation transformer and refining occlusions for human pose estimation
CN117237311B (zh) * 2023-09-26 2026-04-03 国网浙江省电力有限公司杭州市富阳区供电公司 一种检测电表箱视窗破损的方法

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Publication number Priority date Publication date Assignee Title
CN105787439B (zh) * 2016-02-04 2019-04-05 广州新节奏智能科技股份有限公司 一种基于卷积神经网络的深度图像人体关节定位方法
JP6708260B2 (ja) * 2016-11-14 2020-06-10 富士通株式会社 情報処理装置、情報処理方法、およびプログラム
US10679046B1 (en) * 2016-11-29 2020-06-09 MAX-PLANCK-Gesellschaft zur Förderung der Wissenschaften e.V. Machine learning systems and methods of estimating body shape from images
EP3462373A1 (en) * 2017-10-02 2019-04-03 Promaton Holding B.V. Automated classification and taxonomy of 3d teeth data using deep learning methods
CN111565638B (zh) * 2018-01-08 2023-08-15 柯惠有限合伙公司 用于基于视频的非接触式潮气容积监测的系统和方法
US10929654B2 (en) * 2018-03-12 2021-02-23 Nvidia Corporation Three-dimensional (3D) pose estimation from a monocular camera
CN108549876A (zh) * 2018-04-20 2018-09-18 重庆邮电大学 基于目标检测和人体姿态估计的坐姿检测方法
US10922573B2 (en) * 2018-10-22 2021-02-16 Future Health Works Ltd. Computer based object detection within a video or image
US10937173B2 (en) * 2018-11-15 2021-03-02 Qualcomm Incorporated Predicting subject body poses and subject movement intent using probabilistic generative models
US10839543B2 (en) * 2019-02-26 2020-11-17 Baidu Usa Llc Systems and methods for depth estimation using convolutional spatial propagation networks
US11004230B2 (en) * 2019-03-22 2021-05-11 Microsoft Technology Licensing, Llc Predicting three-dimensional articulated and target object pose
CA3280234A1 (en) 2019-06-14 2025-10-30 Hinge Health, Inc. Method and system for monocular depth estimation of persons

Also Published As

Publication number Publication date
KR20220024494A (ko) 2022-03-03
US20220292714A1 (en) 2022-09-15
WO2020250046A1 (en) 2020-12-17
US20220108470A1 (en) 2022-04-07
CA3046612A1 (en) 2020-12-14
EP3983997A1 (en) 2022-04-20
US11875529B2 (en) 2024-01-16
CA3046612C (en) 2025-12-09
US12373983B2 (en) 2025-07-29
US11354817B2 (en) 2022-06-07
JP7499280B2 (ja) 2024-06-13
JP2022536790A (ja) 2022-08-18
US20240087161A1 (en) 2024-03-14
EP3983997A4 (en) 2023-06-28
US20250336087A1 (en) 2025-10-30

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