JP7794329B2 - データ生成方法、データ生成プログラムおよびデータ生成装置 - Google Patents

データ生成方法、データ生成プログラムおよびデータ生成装置

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Publication number
JP7794329B2
JP7794329B2 JP2024552557A JP2024552557A JP7794329B2 JP 7794329 B2 JP7794329 B2 JP 7794329B2 JP 2024552557 A JP2024552557 A JP 2024552557A JP 2024552557 A JP2024552557 A JP 2024552557A JP 7794329 B2 JP7794329 B2 JP 7794329B2
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attribute
information
training
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JPWO2024089772A5 (https=
JPWO2024089772A1 (https=
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創輔 山尾
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Fujitsu Ltd
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Fujitsu Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—Two-dimensional [2D] image generation
    • 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
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • 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
    • G06T2207/20036—Morphological image processing
    • G06T2207/20044—Skeletonization; Medial axis transform
    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Image Analysis (AREA)
JP2024552557A 2022-10-25 2022-10-25 データ生成方法、データ生成プログラムおよびデータ生成装置 Active JP7794329B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2022/039766 WO2024089772A1 (ja) 2022-10-25 2022-10-25 データ生成方法、データ生成プログラムおよびデータ生成装置

Publications (3)

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JPWO2024089772A1 JPWO2024089772A1 (https=) 2024-05-02
JPWO2024089772A5 JPWO2024089772A5 (https=) 2025-04-10
JP7794329B2 true JP7794329B2 (ja) 2026-01-06

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Country Status (5)

Country Link
US (1) US20250191155A1 (https=)
EP (1) EP4610896A4 (https=)
JP (1) JP7794329B2 (https=)
CN (1) CN119790410A (https=)
WO (1) WO2024089772A1 (https=)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113554736A (zh) 2021-09-22 2021-10-26 成都市谛视科技有限公司 骨骼动画顶点矫正方法及模型的学习方法、装置和设备
JP2022513272A (ja) 2018-12-17 2022-02-07 ボディグラム、インコーポレイテッド 訓練深層学習ネットワークの３ｄモデルから大量訓練データセットを自動的に生成する方法及びシステム
US20220156511A1 (en) 2020-11-16 2022-05-19 Waymo Llc Rare pose data generation

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019212106A (ja) 2018-06-06 2019-12-12 日本電信電話株式会社 領域抽出モデル学習装置、領域抽出モデル学習方法、プログラム
JP7014100B2 (ja) * 2018-08-27 2022-02-01 日本電信電話株式会社 拡張装置、拡張方法及び拡張プログラム

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2022513272A (ja) 2018-12-17 2022-02-07 ボディグラム、インコーポレイテッド 訓練深層学習ネットワークの３ｄモデルから大量訓練データセットを自動的に生成する方法及びシステム
US20220156511A1 (en) 2020-11-16 2022-05-19 Waymo Llc Rare pose data generation
CN113554736A (zh) 2021-09-22 2021-10-26 成都市谛视科技有限公司 骨骼动画顶点矫正方法及模型的学习方法、装置和设备

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
PENG, Xi, et al.，Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose，arXiv.org [online]，2018年05月24日，[取得日 2022.12.19], 取得先 <https://arxiv.org/pdf/1805.09707v1.pdf>，<DOI: 10.48550/arXiv.1805.09707>

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Publication number Publication date
US20250191155A1 (en) 2025-06-12
EP4610896A4 (en) 2025-09-10
EP4610896A1 (en) 2025-09-03
JPWO2024089772A1 (https=) 2024-05-02
CN119790410A (zh) 2025-04-08
WO2024089772A1 (ja) 2024-05-02

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