JPWO2022064660A1 - - Google Patents
Info
- Publication number
- JPWO2022064660A1 JPWO2022064660A1 JP2022551068A JP2022551068A JPWO2022064660A1 JP WO2022064660 A1 JPWO2022064660 A1 JP WO2022064660A1 JP 2022551068 A JP2022551068 A JP 2022551068A JP 2022551068 A JP2022551068 A JP 2022551068A JP WO2022064660 A1 JPWO2022064660 A1 JP WO2022064660A1
- Authority
- JP
- Japan
- 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.)
- Granted
Links
Classifications
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- 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
- G06V40/176—Dynamic expression
-
- 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
-
- 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
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- 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
-
- 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
- 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
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/70—Labelling scene content, e.g. deriving syntactic or semantic representations
-
- 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
- G06V40/175—Static expression
-
- 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
- G06N3/044—Recurrent networks, e.g. Hopfield networks
- G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
-
- 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Human Computer Interaction (AREA)
- Computing Systems (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Computational Linguistics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Data Mining & Analysis (AREA)
- Molecular Biology (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2020/036456 WO2022064660A1 (ja) | 2020-09-25 | 2020-09-25 | 機械学習プログラム、機械学習方法および推定装置 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2022064660A1 true JPWO2022064660A1 (https=) | 2022-03-31 |
| JPWO2022064660A5 JPWO2022064660A5 (https=) | 2023-05-15 |
| JP7396509B2 JP7396509B2 (ja) | 2023-12-12 |
Family
ID=80846435
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022551068A Active JP7396509B2 (ja) | 2020-09-25 | 2020-09-25 | 機械学習プログラム、機械学習方法および推定装置 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US20230237845A1 (https=) |
| EP (1) | EP4220546A4 (https=) |
| JP (1) | JP7396509B2 (https=) |
| CN (1) | CN116018613A (https=) |
| WO (1) | WO2022064660A1 (https=) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP7746917B2 (ja) * | 2022-05-13 | 2025-10-01 | 富士通株式会社 | 訓練データ生成プログラム、訓練データ生成方法及び訓練データ生成装置 |
| JP2025067257A (ja) * | 2023-10-12 | 2025-04-24 | 株式会社Ridge-i | 情報処理装置、画像評価方法及び画像評価プログラム、教師データ生成装置、教師データ生成方法、教師データ生成プログラム |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014119879A (ja) * | 2012-12-14 | 2014-06-30 | Nippon Hoso Kyokai <Nhk> | 顔表情評価結果平滑化装置および顔表情評価結果平滑化プログラム |
| CN109657586A (zh) * | 2018-12-10 | 2019-04-19 | 华中师范大学 | 一种基于排序卷积神经网络的人脸表情分析方法及系统 |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017210462A1 (en) | 2016-06-01 | 2017-12-07 | Ohio State Innovation Foundation | System and method for recognition and annotation of facial expressions |
| JP2018036734A (ja) | 2016-08-29 | 2018-03-08 | 日本放送協会 | 表情変化検出装置及びプログラム |
| KR102564854B1 (ko) * | 2017-12-29 | 2023-08-08 | 삼성전자주식회사 | 정규화된 표현력에 기초한 표정 인식 방법, 표정 인식 장치 및 표정 인식을 위한 학습 방법 |
| JP2020057111A (ja) * | 2018-09-28 | 2020-04-09 | パナソニックIpマネジメント株式会社 | 表情判定システム、プログラム及び表情判定方法 |
| CN110188615B (zh) * | 2019-04-30 | 2021-08-06 | 中国科学院计算技术研究所 | 一种人脸表情识别方法、装置、介质及系统 |
| CN110765873B (zh) * | 2019-09-19 | 2022-08-16 | 华中师范大学 | 一种基于表情强度标签分布的面部表情识别方法与装置 |
| CN111582067B (zh) * | 2020-04-22 | 2022-11-29 | 西南大学 | 人脸表情识别方法、系统、存储介质、计算机程序、终端 |
-
2020
- 2020-09-25 EP EP20955254.6A patent/EP4220546A4/en active Pending
- 2020-09-25 CN CN202080105040.6A patent/CN116018613A/zh active Pending
- 2020-09-25 WO PCT/JP2020/036456 patent/WO2022064660A1/ja not_active Ceased
- 2020-09-25 JP JP2022551068A patent/JP7396509B2/ja active Active
-
2023
- 2023-03-09 US US18/119,342 patent/US20230237845A1/en not_active Abandoned
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014119879A (ja) * | 2012-12-14 | 2014-06-30 | Nippon Hoso Kyokai <Nhk> | 顔表情評価結果平滑化装置および顔表情評価結果平滑化プログラム |
| CN109657586A (zh) * | 2018-12-10 | 2019-04-19 | 华中师范大学 | 一种基于排序卷积神经网络的人脸表情分析方法及系统 |
Non-Patent Citations (2)
| Title |
|---|
| SU LUMEI, ET AL.: "Early Facial Expression Recognition using Early RankBoost", 2013 10TH IEEE INTERNATIONAL CONFERENCE AND WORKSHOPS ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG), JPN6020048822, 2013, US, ISSN: 0005187264 * |
| YANG PENG, ET AL.: "RankBoost with l1 regularization for Facial Expression Recognition and Intensity Estimation", 2009 IEEE 12TH INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), JPN6020048821, 2009, US, pages 1018 - 1025, XP031672701, ISSN: 0005187263 * |
Also Published As
| Publication number | Publication date |
|---|---|
| EP4220546A1 (en) | 2023-08-02 |
| WO2022064660A1 (ja) | 2022-03-31 |
| EP4220546A4 (en) | 2023-10-25 |
| US20230237845A1 (en) | 2023-07-27 |
| CN116018613A (zh) | 2023-04-25 |
| JP7396509B2 (ja) | 2023-12-12 |
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