SG11202009173YA - Image processing method and apparatus, computer device, and computer storage medium - Google Patents
Image processing method and apparatus, computer device, and computer storage mediumInfo
- Publication number
- SG11202009173YA SG11202009173YA SG11202009173YA SG11202009173YA SG11202009173YA SG 11202009173Y A SG11202009173Y A SG 11202009173YA SG 11202009173Y A SG11202009173Y A SG 11202009173YA SG 11202009173Y A SG11202009173Y A SG 11202009173YA SG 11202009173Y A SG11202009173Y A SG 11202009173YA
- Authority
- SG
- Singapore
- Prior art keywords
- image processing
- storage medium
- processing method
- computer
- computer device
- Prior art date
Links
- 238000003672 processing method Methods 0.000 title 1
Classifications
-
- 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
- G06F18/211—Selection of the most significant subset of features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—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
- G06V10/443—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 by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/253—Fusion techniques of extracted features
-
- 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
-
- 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
- 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
- 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; 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
- G06N3/048—Activation functions
-
- 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
- G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Multimedia (AREA)
- General Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Mathematical Physics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Biodiversity & Conservation Biology (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810500185.0A CN108875787B (zh) | 2018-05-23 | 2018-05-23 | 一种图像识别方法及装置、计算机设备和存储介质 |
PCT/CN2019/077341 WO2019223397A1 (zh) | 2018-05-23 | 2019-03-07 | 图像处理方法、装置、计算机设备和计算机存储介质 |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11202009173YA true SG11202009173YA (en) | 2020-10-29 |
Family
ID=64333566
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202009173YA SG11202009173YA (en) | 2018-05-23 | 2019-03-07 | Image processing method and apparatus, computer device, and computer storage medium |
Country Status (5)
Country | Link |
---|---|
US (1) | US11080569B2 (zh) |
JP (1) | JP6930039B2 (zh) |
CN (1) | CN108875787B (zh) |
SG (1) | SG11202009173YA (zh) |
WO (1) | WO2019223397A1 (zh) |
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Family Cites Families (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3872716A1 (en) * | 2015-01-28 | 2021-09-01 | Google LLC | Image classification neural network system with batch normalization layers |
NL2015087B1 (en) * | 2015-06-05 | 2016-09-09 | Univ Amsterdam | Deep receptive field networks. |
JP6561877B2 (ja) * | 2016-03-01 | 2019-08-21 | 株式会社デンソー | 演算処理装置 |
RU2016138608A (ru) * | 2016-09-29 | 2018-03-30 | Мэджик Лип, Инк. | Нейронная сеть для сегментации изображения глаза и оценки качества изображения |
CN116823593A (zh) * | 2016-10-21 | 2023-09-29 | 谷歌有限责任公司 | 风格化输入图像 |
CN107247949B (zh) * | 2017-08-02 | 2020-06-19 | 智慧眼科技股份有限公司 | 基于深度学习的人脸识别方法、装置和电子设备 |
WO2019057944A1 (en) * | 2017-09-22 | 2019-03-28 | F. Hoffmann-La Roche Ag | ELIMINATION OF ARTIFACTS FROM IMAGES OF FABRIC |
CN107657281A (zh) * | 2017-09-28 | 2018-02-02 | 辽宁工程技术大学 | 一种基于改进的卷积神经网络的图像识别方法 |
CN107862374B (zh) * | 2017-10-30 | 2020-07-31 | 中国科学院计算技术研究所 | 基于流水线的神经网络处理系统和处理方法 |
CN107909016B (zh) * | 2017-11-03 | 2020-09-01 | 车智互联(北京)科技有限公司 | 一种卷积神经网络生成方法及车系识别方法 |
CN107767343B (zh) * | 2017-11-09 | 2021-08-31 | 京东方科技集团股份有限公司 | 图像处理方法、处理装置和处理设备 |
US10643063B2 (en) * | 2018-04-09 | 2020-05-05 | Qualcomm Incorporated | Feature matching with a subspace spanned by multiple representative feature vectors |
CN108875787B (zh) * | 2018-05-23 | 2020-07-14 | 北京市商汤科技开发有限公司 | 一种图像识别方法及装置、计算机设备和存储介质 |
-
2018
- 2018-05-23 CN CN201810500185.0A patent/CN108875787B/zh active Active
-
2019
- 2019-03-07 SG SG11202009173YA patent/SG11202009173YA/en unknown
- 2019-03-07 JP JP2020548653A patent/JP6930039B2/ja active Active
- 2019-03-07 WO PCT/CN2019/077341 patent/WO2019223397A1/zh active Application Filing
-
2020
- 2020-10-16 US US17/072,324 patent/US11080569B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN108875787A (zh) | 2018-11-23 |
US20210034913A1 (en) | 2021-02-04 |
JP2021509994A (ja) | 2021-04-08 |
WO2019223397A1 (zh) | 2019-11-28 |
CN108875787B (zh) | 2020-07-14 |
US11080569B2 (en) | 2021-08-03 |
JP6930039B2 (ja) | 2021-09-01 |
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