JP7499280B2 - 人物の単眼深度推定のための方法およびシステム - Google Patents
人物の単眼深度推定のための方法およびシステム Download PDFInfo
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- JP7499280B2 JP7499280B2 JP2021574764A JP2021574764A JP7499280B2 JP 7499280 B2 JP7499280 B2 JP 7499280B2 JP 2021574764 A JP2021574764 A JP 2021574764A JP 2021574764 A JP2021574764 A JP 2021574764A JP 7499280 B2 JP7499280 B2 JP 7499280B2
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- 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
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- 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
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- G06N3/045—Combinations of networks
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- 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]
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- G06N3/048—Activation functions
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- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
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- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
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- 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
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- 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
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- 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
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- 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
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- 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]
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- 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
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Applications Claiming Priority (3)
| 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 |
| CA3,046,612 | 2019-06-14 | ||
| PCT/IB2020/052936 WO2020250046A1 (en) | 2019-06-14 | 2020-03-27 | Method and system for monocular depth estimation of persons |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2022536790A JP2022536790A (ja) | 2022-08-18 |
| JP2022536790A5 JP2022536790A5 (cg-RX-API-DMAC7.html) | 2023-03-24 |
| JP7499280B2 true JP7499280B2 (ja) | 2024-06-13 |
Family
ID=73781888
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021574764A Active JP7499280B2 (ja) | 2019-06-14 | 2020-03-27 | 人物の単眼深度推定のための方法およびシステム |
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) |
Families Citing this family (18)
| 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 |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018087933A1 (ja) | 2016-11-14 | 2018-05-17 | 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 |
Family Cites Families (11)
| 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 |
| 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 |
-
2019
- 2019-06-14 CA CA3280234A patent/CA3280234A1/en active Pending
- 2019-06-14 CA CA3046612A patent/CA3046612C/en active Active
-
2020
- 2020-03-27 KR KR1020227000964A patent/KR20220024494A/ko active Pending
- 2020-03-27 JP JP2021574764A patent/JP7499280B2/ja active Active
- 2020-03-27 EP EP20822773.6A patent/EP3983997A4/en active Pending
- 2020-03-27 WO PCT/IB2020/052936 patent/WO2020250046A1/en not_active Ceased
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2021
- 2021-12-14 US US17/644,221 patent/US11354817B2/en active Active
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2022
- 2022-06-01 US US17/804,909 patent/US11875529B2/en active Active
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2023
- 2023-11-22 US US18/518,175 patent/US12373983B2/en active Active
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2025
- 2025-07-08 US US19/263,051 patent/US20250336087A1/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018087933A1 (ja) | 2016-11-14 | 2018-05-17 | 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 |
Non-Patent Citations (2)
| Title |
|---|
| Alin-Ionut Popa et al.,Deep Multitask Architecture for Integrated 2D and 3D Human Sensing,2017 IEEE Conference on Computer Vision and Pattern Recognition,2017年07月21日,pp. 4714-4723,https://ieeexplore.ieee.org/document/8099984 |
| 村岡 太郎 外,二次元動画像からの動作情報抽出,電子情報通信学会技術報告 Vol.101 No.737,2002年03月,pp. 97-104 |
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 |
| CA3280234A1 (en) | 2025-10-30 |
| 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 |
| JP2022536790A (ja) | 2022-08-18 |
| US20240087161A1 (en) | 2024-03-14 |
| EP3983997A4 (en) | 2023-06-28 |
| US20250336087A1 (en) | 2025-10-30 |
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