JP2021072106A - イメージ処理システム - Google Patents
イメージ処理システム Download PDFInfo
- Publication number
- JP2021072106A JP2021072106A JP2020170849A JP2020170849A JP2021072106A JP 2021072106 A JP2021072106 A JP 2021072106A JP 2020170849 A JP2020170849 A JP 2020170849A JP 2020170849 A JP2020170849 A JP 2020170849A JP 2021072106 A JP2021072106 A JP 2021072106A
- Authority
- JP
- Japan
- Prior art keywords
- image
- neural network
- post
- processed
- processing system
- 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
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/20—Processor architectures; Processor configuration, e.g. pipelining
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
-
- 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
- G06N3/047—Probabilistic or stochastic 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
- G06N3/0475—Generative 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
- G06N3/08—Learning 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
- G06N3/08—Learning methods
- G06N3/088—Non-supervised learning, e.g. competitive learning
-
- 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
- G06N3/094—Adversarial learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/60—Image enhancement or restoration using machine learning, e.g. neural networks
-
- 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
- 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
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- 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
-
- 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]
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Computational Linguistics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Multimedia (AREA)
- Databases & Information Systems (AREA)
- Probability & Statistics with Applications (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020190135041A KR20210050684A (ko) | 2019-10-29 | 2019-10-29 | 이미지 처리 시스템 |
| KR10-2019-0135041 | 2019-10-29 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2021072106A true JP2021072106A (ja) | 2021-05-06 |
| JP2021072106A5 JP2021072106A5 (https=) | 2023-10-06 |
Family
ID=75378970
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020170849A Pending JP2021072106A (ja) | 2019-10-29 | 2020-10-09 | イメージ処理システム |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11599981B2 (https=) |
| JP (1) | JP2021072106A (https=) |
| KR (1) | KR20210050684A (https=) |
| CN (1) | CN112750067B (https=) |
| DE (1) | DE102020213289A1 (https=) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US12235651B1 (en) * | 2021-03-29 | 2025-02-25 | Amazon Technologies, Inc. | Autonomous navigation correction system |
| KR102728337B1 (ko) * | 2021-05-31 | 2024-11-11 | 한국전자기술연구원 | Gan 구조를 활용한 영상 영역 분할 방법 및 시스템 |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019199699A1 (en) * | 2018-04-13 | 2019-10-17 | Elekta, Inc. | Image synthesis using adversarial networks |
Family Cites Families (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10169662B2 (en) | 2015-06-15 | 2019-01-01 | Google Llc | Remote biometric monitoring system |
| US10460231B2 (en) | 2015-12-29 | 2019-10-29 | Samsung Electronics Co., Ltd. | Method and apparatus of neural network based image signal processor |
| JP6463512B2 (ja) | 2016-05-24 | 2019-02-06 | オリンパス株式会社 | 画像信号処理装置、画像信号処理方法および画像信号処理プログラム |
| US10602126B2 (en) * | 2016-06-10 | 2020-03-24 | Lucid VR, Inc. | Digital camera device for 3D imaging |
| KR101961177B1 (ko) | 2016-07-22 | 2019-03-22 | 한국과학기술원 | 뉴럴 네트워크를 이용한 영상 처리 방법 및 장치 |
| WO2018053340A1 (en) | 2016-09-15 | 2018-03-22 | Twitter, Inc. | Super resolution using a generative adversarial network |
| KR101791573B1 (ko) | 2016-10-21 | 2017-10-31 | 서강대학교산학협력단 | 컨볼루션 신경망을 이용한 비디오 스트림에 대한 수퍼 해상도 장치 및 방법 |
| US10803378B2 (en) | 2017-03-15 | 2020-10-13 | Samsung Electronics Co., Ltd | System and method for designing efficient super resolution deep convolutional neural networks by cascade network training, cascade network trimming, and dilated convolutions |
| US10262236B2 (en) * | 2017-05-02 | 2019-04-16 | General Electric Company | Neural network training image generation system |
| US10497257B2 (en) * | 2017-08-31 | 2019-12-03 | Nec Corporation | Parking lot surveillance with viewpoint invariant object recognition by synthesization and domain adaptation |
| US10430937B2 (en) * | 2017-09-25 | 2019-10-01 | United Technologies Corporation | Automated material characterization system including conditional generative adversarial networks |
| US11188783B2 (en) * | 2017-10-19 | 2021-11-30 | Nokia Technologies Oy | Reverse neural network for object re-identification |
| US10467501B2 (en) * | 2017-10-30 | 2019-11-05 | Sap Se | Computer vision architecture with machine learned image recognition models |
| US10936863B2 (en) * | 2017-11-13 | 2021-03-02 | Way2Vat Ltd. | Systems and methods for neuronal visual-linguistic data retrieval from an imaged document |
| CN107909621A (zh) * | 2017-11-16 | 2018-04-13 | 深圳市唯特视科技有限公司 | 一种基于双生成对抗网络的医学图像合成方法 |
| CN108257116A (zh) * | 2017-12-30 | 2018-07-06 | 清华大学 | 一种生成对抗图像的方法 |
| US10944767B2 (en) * | 2018-02-01 | 2021-03-09 | International Business Machines Corporation | Identifying artificial artifacts in input data to detect adversarial attacks |
| US10748314B2 (en) * | 2018-02-15 | 2020-08-18 | Microsoft Technology Licensing, Llc | Controllable conditional image generation |
| US10552714B2 (en) * | 2018-03-16 | 2020-02-04 | Ebay Inc. | Generating a digital image using a generative adversarial network |
| US20190297326A1 (en) * | 2018-03-21 | 2019-09-26 | Nvidia Corporation | Video prediction using spatially displaced convolution |
| US10825219B2 (en) * | 2018-03-22 | 2020-11-03 | Northeastern University | Segmentation guided image generation with adversarial networks |
| CN108764091B (zh) * | 2018-05-18 | 2020-11-17 | 北京市商汤科技开发有限公司 | 活体检测方法及装置、电子设备和存储介质 |
| CN108932527A (zh) * | 2018-06-06 | 2018-12-04 | 上海交通大学 | 使用交叉训练模型检测对抗样本的方法 |
| CN109036389A (zh) * | 2018-08-28 | 2018-12-18 | 出门问问信息科技有限公司 | 一种对抗样本的生成方法及装置 |
| CN109685200B (zh) * | 2018-11-19 | 2023-04-25 | 华东师范大学 | 基于生成对抗网络的雾计算工业协议构建方法及构建系统 |
| JP2022526718A (ja) * | 2019-03-14 | 2022-05-26 | ハイパーファイン,インコーポレイテッド | 空間周波数データから磁気共鳴画像を生成するための深層学習技術 |
| CN110222774A (zh) * | 2019-06-10 | 2019-09-10 | 百度在线网络技术(北京)有限公司 | 非法图像鉴别方法、装置、内容安全防火墙及存储介质 |
| CN110322396B (zh) * | 2019-06-19 | 2022-12-23 | 怀光智能科技(武汉)有限公司 | 一种病理切片颜色归一化方法及系统 |
| US11126891B2 (en) * | 2019-09-11 | 2021-09-21 | Toyota Research Institute, Inc. | Systems and methods for simulating sensor data using a generative model |
-
2019
- 2019-10-29 KR KR1020190135041A patent/KR20210050684A/ko not_active Ceased
-
2020
- 2020-10-07 US US17/065,241 patent/US11599981B2/en active Active
- 2020-10-09 JP JP2020170849A patent/JP2021072106A/ja active Pending
- 2020-10-21 DE DE102020213289.5A patent/DE102020213289A1/de active Pending
- 2020-10-23 CN CN202011145264.8A patent/CN112750067B/zh active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019199699A1 (en) * | 2018-04-13 | 2019-10-17 | Elekta, Inc. | Image synthesis using adversarial networks |
Non-Patent Citations (1)
| Title |
|---|
| 山下 隆義 TAKAYOSHI YAMASHITA, イラストで学ぶ ディープラーニング 改訂第2版 AN ILLUSTRATED GUIDE TO DEEP LEARNING, vol. 第2版, JPN6024017378, 19 November 2018 (2018-11-19), JP, pages 168 - 192, ISSN: 0005394681 * |
Also Published As
| Publication number | Publication date |
|---|---|
| KR20210050684A (ko) | 2021-05-10 |
| US20210125320A1 (en) | 2021-04-29 |
| CN112750067B (zh) | 2024-05-07 |
| DE102020213289A1 (de) | 2021-04-29 |
| CN112750067A (zh) | 2021-05-04 |
| US11599981B2 (en) | 2023-03-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Alnuaim et al. | Human‐computer interaction with hand gesture recognition using ResNet and MobileNet | |
| CN109978882A (zh) | 一种基于多模态融合的医疗影像目标检测方法 | |
| CN108230291B (zh) | 物体识别系统训练方法、物体识别方法、装置和电子设备 | |
| WO2013042992A1 (ko) | 얼굴 표정 인식 방법 및 시스템 | |
| CN112070022A (zh) | 人脸图像识别方法、装置、电子设备和计算机可读介质 | |
| JP2021072106A (ja) | イメージ処理システム | |
| US20220245829A1 (en) | Movement status learning apparatus, movement status recognition apparatus, model learning method, movement status recognition method and program | |
| Balachandran et al. | Facial expression-based emotion recognition across diverse age groups: a multi-scale vision transformer with contrastive learning approach | |
| CN113505784A (zh) | 甲片自动标注解析方法及装置、电子设备及存储介质 | |
| CN114937189B (zh) | 模型的训练方法和装置、目标识别方法、设备、介质 | |
| CN120452027B (zh) | 群养无约束猪只体重实时估测方法、系统、设备和介质 | |
| Du et al. | SKIP: Accurate fall detection based on skeleton keypoint association and critical feature perception | |
| CN113012049B (zh) | 一种基于gan网络的遥感数据隐私保护方法 | |
| Silva et al. | POEM-based facial expression recognition, a new approach | |
| Hassan et al. | Intelligent sign language recognition using enhanced fourier descriptor: a case of Hausa sign language | |
| Kumarage et al. | Real-time sign language gesture recognition using still-image comparison & motion recognition | |
| CN112597914B (zh) | 一种图像处理方法及装置 | |
| CN111860070A (zh) | 识别发生改变的对象的方法和装置 | |
| CN117274902A (zh) | 移动机器人的目标识别与定位方法 | |
| Zhou et al. | Retouched face image quality assessment based on differential perception and textual prompt | |
| Eatesh et al. | AI-Powered Visual Aid System for the Blind | |
| Bhanumathi et al. | Underwater fish species classification using Alexnet | |
| Jetomo et al. | Comparing persistent homology-based classifiers for Filipino sign language recognition | |
| Nirmala | Sign Language Recognition Using Deep Learning | |
| JP6814374B2 (ja) | 検出方法、検出プログラム及び検出装置 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20230928 |
|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20230928 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20240507 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20240806 |
|
| A02 | Decision of refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A02 Effective date: 20240820 |