KR102208688B9 - 데이터 증강 기반 사물 분석 모델 학습 장치 및 방법 - Google Patents

데이터 증강 기반 사물 분석 모델 학습 장치 및 방법

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Publication number
KR102208688B9
KR102208688B9 KR1020200091759A KR20200091759A KR102208688B9 KR 102208688 B9 KR102208688 B9 KR 102208688B9 KR 1020200091759 A KR1020200091759 A KR 1020200091759A KR 20200091759 A KR20200091759 A KR 20200091759A KR 102208688 B9 KR102208688 B9 KR 102208688B9
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KR
South Korea
Prior art keywords
model based
analysis model
data augmentation
object analysis
developing object
Prior art date
Application number
KR1020200091759A
Other languages
English (en)
Other versions
KR102208688B1 (ko
Inventor
백윤아
윤대희
Original Assignee
주식회사 어반베이스
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.)
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Application filed by 주식회사 어반베이스 filed Critical 주식회사 어반베이스
Priority to KR1020200091759A priority Critical patent/KR102208688B1/ko
Priority to CN202080085324.3A priority patent/CN114830145A/zh
Priority to JP2022531445A priority patent/JP7336033B2/ja
Priority to PCT/KR2020/016741 priority patent/WO2022019390A1/ko
Priority to EP20946328.0A priority patent/EP4040349A4/en
Priority to KR1020210007411A priority patent/KR102430743B1/ko
Application granted granted Critical
Publication of KR102208688B1 publication Critical patent/KR102208688B1/ko
Publication of KR102208688B9 publication Critical patent/KR102208688B9/ko
Priority to US17/870,519 priority patent/US20220358411A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G06N5/022—Knowledge engineering; Knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G06T19/006—Mixed reality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/187—Segmentation; Edge detection involving region growing; involving region merging; involving connected component labelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
    • G06V10/235—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition based on user input or interaction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; 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
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00—Indexing scheme for image generation or computer graphics
    • G06T2210/12—Bounding box

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Medical Informatics (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Hardware Design (AREA)
  • Computer Graphics (AREA)
  • Computational Linguistics (AREA)
  • Databases & Information Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Architecture (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Image Analysis (AREA)
KR1020200091759A 2020-07-23 2020-07-23 데이터 증강 기반 사물 분석 모델 학습 장치 및 방법 KR102208688B1 (ko)

Priority Applications (7)

Application Number Priority Date Filing Date Title
KR1020200091759A KR102208688B1 (ko) 2020-07-23 2020-07-23 데이터 증강 기반 사물 분석 모델 학습 장치 및 방법
CN202080085324.3A CN114830145A (zh) 2020-07-23 2020-11-24 基于数据增强的事物分析模型学习装置及方法
JP2022531445A JP7336033B2 (ja) 2020-07-23 2020-11-24 データ増強基盤事物分析モデル学習装置及び方法
PCT/KR2020/016741 WO2022019390A1 (ko) 2020-07-23 2020-11-24 데이터 증강 기반 사물 분석 모델 학습 장치 및 방법
EP20946328.0A EP4040349A4 (en) 2020-07-23 2020-11-24 DEVICE AND METHOD FOR LEARNING OBJECT ANALYSIS MODEL BASED ON DATA AUGMENTATION
KR1020210007411A KR102430743B1 (ko) 2020-07-23 2021-01-19 데이터 증강 기반 사물 분석 모델 학습 장치 및 방법
US17/870,519 US20220358411A1 (en) 2020-07-23 2022-07-21 Apparatus and method for developing object analysis model based on data augmentation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020200091759A KR102208688B1 (ko) 2020-07-23 2020-07-23 데이터 증강 기반 사물 분석 모델 학습 장치 및 방법

Related Child Applications (1)

Application Number Title Priority Date Filing Date
KR1020210007411A Division KR102430743B1 (ko) 2020-07-23 2021-01-19 데이터 증강 기반 사물 분석 모델 학습 장치 및 방법

Publications (2)

Publication Number Publication Date
KR102208688B1 KR102208688B1 (ko) 2021-01-28
KR102208688B9 true KR102208688B9 (ko) 2022-03-11

Family

ID=74239288

Family Applications (2)

Application Number Title Priority Date Filing Date
KR1020200091759A KR102208688B1 (ko) 2020-07-23 2020-07-23 데이터 증강 기반 사물 분석 모델 학습 장치 및 방법
KR1020210007411A KR102430743B1 (ko) 2020-07-23 2021-01-19 데이터 증강 기반 사물 분석 모델 학습 장치 및 방법

Family Applications After (1)

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KR1020210007411A KR102430743B1 (ko) 2020-07-23 2021-01-19 데이터 증강 기반 사물 분석 모델 학습 장치 및 방법

Country Status (6)

Country Link
US (1) US20220358411A1 (ko)
EP (1) EP4040349A4 (ko)
JP (1) JP7336033B2 (ko)
KR (2) KR102208688B1 (ko)
CN (1) CN114830145A (ko)
WO (1) WO2022019390A1 (ko)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021067234A1 (en) * 2019-09-30 2021-04-08 Pricewaterhousecoopers Llp Systems and methods for training image detection systems for augmented and mixed reality applications
KR102568482B1 (ko) * 2023-03-02 2023-08-23 (주) 씨이랩 군사용 영상분석을 위한 데이터증강 서비스 제공 시스템

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS58220524A (ja) * 1982-06-16 1983-12-22 Mitsubishi Electric Corp 信号切換装置
JP2006048370A (ja) * 2004-08-04 2006-02-16 Kagawa Univ パターン認識方法、それに用いられる教示データ生成方法およびパターン認識装置
KR20100102772A (ko) 2009-03-12 2010-09-27 주식회사 퍼시스 실내환경 분석 시스템 및 그 방법
US8903167B2 (en) * 2011-05-12 2014-12-02 Microsoft Corporation Synthesizing training samples for object recognition
US20170256038A1 (en) * 2015-09-24 2017-09-07 Vuno Korea, Inc. Image Generating Method and Apparatus, and Image Analyzing Method
US9864931B2 (en) * 2016-04-13 2018-01-09 Conduent Business Services, Llc Target domain characterization for data augmentation
US9965610B2 (en) * 2016-07-22 2018-05-08 Nec Corporation Physical system access control
JP6441980B2 (ja) * 2017-03-29 2018-12-19 三菱電機インフォメーションシステムズ株式会社 教師画像を生成する方法、コンピュータおよびプログラム
CN108520278A (zh) * 2018-04-10 2018-09-11 陕西师范大学 一种基于随机森林的路面裂缝检测方法及其评价方法
US10565475B2 (en) * 2018-04-24 2020-02-18 Accenture Global Solutions Limited Generating a machine learning model for objects based on augmenting the objects with physical properties
US10489683B1 (en) * 2018-12-17 2019-11-26 Bodygram, Inc. Methods and systems for automatic generation of massive training data sets from 3D models for training deep learning networks
JP2020098455A (ja) * 2018-12-18 2020-06-25 国立大学法人豊橋技術科学大学 物体識別システム、物体識別方法、並びに、画像識別プログラム
KR102646889B1 (ko) * 2018-12-21 2024-03-12 삼성전자주식회사 스타일 변환을 위한 영상 처리 장치 및 방법
WO2020240809A1 (ja) * 2019-05-31 2020-12-03 楽天株式会社 学習装置、分類装置、学習方法、分類方法、学習プログラム、及び分類プログラム

Also Published As

Publication number Publication date
KR20220012785A (ko) 2022-02-04
US20220358411A1 (en) 2022-11-10
EP4040349A4 (en) 2024-01-03
EP4040349A1 (en) 2022-08-10
CN114830145A (zh) 2022-07-29
KR102430743B1 (ko) 2022-08-11
KR102208688B1 (ko) 2021-01-28
JP7336033B2 (ja) 2023-08-30
JP2023508641A (ja) 2023-03-03
WO2022019390A1 (ko) 2022-01-27

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