SG11202102380TA - 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
- SG11202102380TA SG11202102380TA SG11202102380TA SG11202102380TA SG11202102380TA SG 11202102380T A SG11202102380T A SG 11202102380TA SG 11202102380T A SG11202102380T A SG 11202102380TA SG 11202102380T A SG11202102380T A SG 11202102380TA SG 11202102380T A SG11202102380T A SG 11202102380TA
- 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
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- 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
- G06V10/32—Normalisation of the pattern dimensions
-
- 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
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
-
- 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
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
-
- 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
- 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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/40—Geothermal heat-pumps
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Biomedical Technology (AREA)
- General Engineering & Computer Science (AREA)
- Molecular Biology (AREA)
- Mathematical Physics (AREA)
- Computational Linguistics (AREA)
- Multimedia (AREA)
- Biophysics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Biodiversity & Conservation Biology (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Image Analysis (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910087398.XA CN109784420B (zh) | 2019-01-29 | 2019-01-29 | 一种图像处理方法及装置、计算机设备和存储介质 |
PCT/CN2019/114721 WO2020155712A1 (zh) | 2019-01-29 | 2019-10-31 | 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 |
---|---|
SG11202102380TA true SG11202102380TA (en) | 2021-04-29 |
Family
ID=66503596
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202102380TA SG11202102380TA (en) | 2019-01-29 | 2019-10-31 | Image processing method and apparatus, computer device, and computer storage medium |
Country Status (6)
Country | Link |
---|---|
US (1) | US20210158088A1 (zh) |
JP (1) | JP7076648B2 (zh) |
CN (1) | CN109784420B (zh) |
SG (1) | SG11202102380TA (zh) |
TW (1) | TWI712960B (zh) |
WO (1) | WO2020155712A1 (zh) |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109784420B (zh) * | 2019-01-29 | 2021-12-28 | 深圳市商汤科技有限公司 | 一种图像处理方法及装置、计算机设备和存储介质 |
CN110348537B (zh) * | 2019-07-18 | 2022-11-29 | 北京市商汤科技开发有限公司 | 图像处理方法及装置、电子设备和存储介质 |
CN111062429A (zh) * | 2019-12-12 | 2020-04-24 | 上海点泽智能科技有限公司 | 基于深度学习的厨师帽和口罩佩戴的检测方法 |
CN111325222A (zh) * | 2020-02-27 | 2020-06-23 | 深圳市商汤科技有限公司 | 图像归一化处理方法及装置、存储介质 |
CN112000756B (zh) * | 2020-08-21 | 2024-09-17 | 上海商汤智能科技有限公司 | 轨迹预测的方法、装置、电子设备及存储介质 |
KR20220048644A (ko) * | 2020-10-13 | 2022-04-20 | 삼성전자주식회사 | 뉴럴 네트워크 연산 방법 및 장치 |
EP4276692A1 (en) * | 2022-05-13 | 2023-11-15 | Robert Bosch GmbH | Neural network layer for non-linear normalization |
Family Cites Families (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
IL107996A0 (en) * | 1993-12-12 | 1994-05-30 | P Inspection Ltd As | Apparatus and method for signal processing |
JP2003346083A (ja) | 2002-05-27 | 2003-12-05 | Canon Inc | 文字認識装置、文字認識方法、プログラムおよび記憶媒体、および文字認識システム |
US8923650B2 (en) * | 2013-01-07 | 2014-12-30 | Wexenergy Innovations Llc | System and method of measuring distances related to an object |
CN103902737A (zh) | 2014-04-22 | 2014-07-02 | 上海理工大学 | 基于群智能算法的投影寻踪分类建模软件及实现 |
CN104008393A (zh) * | 2014-05-17 | 2014-08-27 | 北京工业大学 | 一种用于认知状态识别的特征分组归一化方法 |
US10325351B2 (en) * | 2016-03-11 | 2019-06-18 | Qualcomm Technologies, Inc. | Systems and methods for normalizing an image |
KR102662949B1 (ko) * | 2016-11-24 | 2024-05-02 | 엘지전자 주식회사 | 인공지능 이동 로봇 및 그 제어방법 |
KR102343963B1 (ko) * | 2017-05-30 | 2021-12-24 | 주식회사 케이티 | 손 제스처를 검출하는 컨볼루션 신경망, 그리고 손 제스처에 의한 기기 제어시스템 |
CN107193993A (zh) | 2017-06-06 | 2017-09-22 | 苏州大学 | 基于局部学习特征权重选择的医疗数据分类方法及装置 |
US10963737B2 (en) * | 2017-08-01 | 2021-03-30 | Retina-Al Health, Inc. | Systems and methods using weighted-ensemble supervised-learning for automatic detection of ophthalmic disease from images |
CN107808138B (zh) * | 2017-10-31 | 2021-03-30 | 电子科技大学 | 一种基于FasterR-CNN的通信信号识别方法 |
CN108200522B (zh) * | 2017-11-24 | 2020-02-18 | 华侨大学 | 一种变正则化比例归一化子带自适应滤波方法 |
CN108764357A (zh) * | 2018-05-31 | 2018-11-06 | 西安电子科技大学 | 基于压缩-激发的聚合残差网络高光谱图像分类方法 |
CN108921283A (zh) | 2018-06-13 | 2018-11-30 | 深圳市商汤科技有限公司 | 深度神经网络的归一化方法和装置、设备、存储介质 |
CN109003265B (zh) * | 2018-07-09 | 2022-02-11 | 嘉兴学院 | 一种基于贝叶斯压缩感知的无参考图像质量客观评价方法 |
CN109255381B (zh) * | 2018-09-06 | 2022-03-29 | 华南理工大学 | 一种基于二阶vlad稀疏自适应深度网络的图像分类方法 |
CN109784420B (zh) * | 2019-01-29 | 2021-12-28 | 深圳市商汤科技有限公司 | 一种图像处理方法及装置、计算机设备和存储介质 |
-
2019
- 2019-01-29 CN CN201910087398.XA patent/CN109784420B/zh active Active
- 2019-10-31 SG SG11202102380TA patent/SG11202102380TA/en unknown
- 2019-10-31 WO PCT/CN2019/114721 patent/WO2020155712A1/zh active Application Filing
- 2019-10-31 JP JP2021537467A patent/JP7076648B2/ja active Active
- 2019-12-27 TW TW108148217A patent/TWI712960B/zh active
-
2021
- 2021-02-08 US US17/170,149 patent/US20210158088A1/en not_active Abandoned
Also Published As
Publication number | Publication date |
---|---|
JP7076648B2 (ja) | 2022-05-27 |
WO2020155712A1 (zh) | 2020-08-06 |
US20210158088A1 (en) | 2021-05-27 |
TWI712960B (zh) | 2020-12-11 |
CN109784420A (zh) | 2019-05-21 |
CN109784420B (zh) | 2021-12-28 |
JP2022500798A (ja) | 2022-01-04 |
TW202029074A (zh) | 2020-08-01 |
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