SG11202011008XA - Binocular matching method and apparatus, and device and storage medium - Google Patents
Binocular matching method and apparatus, and device and storage mediumInfo
- Publication number
- SG11202011008XA SG11202011008XA SG11202011008XA SG11202011008XA SG11202011008XA SG 11202011008X A SG11202011008X A SG 11202011008XA SG 11202011008X A SG11202011008X A SG 11202011008XA SG 11202011008X A SG11202011008X A SG 11202011008XA SG 11202011008X A SG11202011008X A SG 11202011008XA
- Authority
- SG
- Singapore
- Prior art keywords
- storage medium
- matching method
- binocular matching
- binocular
- medium
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
- G06T7/55—Depth or shape recovery from multiple images
- G06T7/593—Depth or shape recovery from multiple images from stereo images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
- G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
-
- 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
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; 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
- G06T7/50—Depth or shape recovery
- G06T7/55—Depth or shape recovery from multiple images
-
- 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
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- 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
- G06V10/77—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
- G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
- G06V10/806—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of extracted 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
- G06V10/70—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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
- G06T2207/10012—Stereo images
-
- 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
- G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
-
- 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
- G06T2207/20076—Probabilistic image processing
-
- 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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/16—Image acquisition using multiple overlapping images; Image stitching
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
- H04N13/20—Image signal generators
- H04N13/204—Image signal generators using stereoscopic image cameras
- H04N13/239—Image signal generators using stereoscopic image cameras using two 2D image sensors having a relative position equal to or related to the interocular distance
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
- H04N2013/0074—Stereoscopic image analysis
- H04N2013/0081—Depth or disparity estimation from stereoscopic image signals
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- General Health & Medical Sciences (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Multimedia (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- Mathematical Physics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910127860.4A CN109887019B (en) | 2019-02-19 | 2019-02-19 | Binocular matching method and device, equipment and storage medium |
PCT/CN2019/108314 WO2020168716A1 (en) | 2019-02-19 | 2019-09-26 | Binocular matching method and apparatus, and device and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11202011008XA true SG11202011008XA (en) | 2020-12-30 |
Family
ID=66928674
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202011008XA SG11202011008XA (en) | 2019-02-19 | 2019-09-26 | Binocular matching method and apparatus, and device and storage medium |
Country Status (6)
Country | Link |
---|---|
US (1) | US20210042954A1 (en) |
JP (1) | JP7153091B2 (en) |
KR (1) | KR20200136996A (en) |
CN (1) | CN109887019B (en) |
SG (1) | SG11202011008XA (en) |
WO (1) | WO2020168716A1 (en) |
Families Citing this family (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111260538B (en) * | 2018-12-03 | 2023-10-03 | 北京魔门塔科技有限公司 | Positioning and vehicle-mounted terminal based on long-baseline binocular fisheye camera |
CN111383256B (en) * | 2018-12-29 | 2024-05-17 | 北京市商汤科技开发有限公司 | Image processing method, electronic device, and computer-readable storage medium |
CN109887019B (en) * | 2019-02-19 | 2022-05-24 | 北京市商汤科技开发有限公司 | Binocular matching method and device, equipment and storage medium |
CN110689060B (en) * | 2019-09-16 | 2022-01-28 | 西安电子科技大学 | Heterogeneous image matching method based on aggregation feature difference learning network |
US11763433B2 (en) * | 2019-11-14 | 2023-09-19 | Samsung Electronics Co., Ltd. | Depth image generation method and device |
CN111260711B (en) * | 2020-01-10 | 2021-08-10 | 大连理工大学 | Parallax estimation method for weakly supervised trusted cost propagation |
CN111709977A (en) * | 2020-03-17 | 2020-09-25 | 北京航空航天大学青岛研究院 | Binocular depth learning method based on adaptive unimodal stereo matching cost filtering |
CN112819777B (en) * | 2021-01-28 | 2022-12-27 | 重庆西山科技股份有限公司 | Binocular endoscope auxiliary display method, system, device and storage medium |
KR20220127642A (en) * | 2021-03-11 | 2022-09-20 | 삼성전자주식회사 | Electronic apparatus and control method thereof |
CN113393366A (en) * | 2021-06-30 | 2021-09-14 | 北京百度网讯科技有限公司 | Binocular matching method, device, equipment and storage medium |
CN113283848B (en) * | 2021-07-21 | 2021-09-28 | 湖北浩蓝智造科技有限公司 | Goods warehousing detection method, warehousing system and storage medium |
CN114627535B (en) * | 2022-03-15 | 2024-05-10 | 平安科技(深圳)有限公司 | Coordinate matching method, device, equipment and medium based on binocular camera |
CN114419349B (en) * | 2022-03-30 | 2022-07-15 | 中国科学技术大学 | Image matching method and device |
CN115063467B (en) * | 2022-08-08 | 2022-11-15 | 煤炭科学研究总院有限公司 | Method and device for estimating high-resolution image parallax in underground coal mine |
CN115908992B (en) * | 2022-10-22 | 2023-12-05 | 北京百度网讯科技有限公司 | Binocular stereo matching method, device, equipment and storage medium |
CN116229123B (en) * | 2023-02-21 | 2024-04-30 | 深圳市爱培科技术股份有限公司 | Binocular stereo matching method and device based on multi-channel grouping cross-correlation cost volume |
Family Cites Families (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7444013B2 (en) * | 2001-08-10 | 2008-10-28 | Stmicroelectronics, Inc. | Method and apparatus for recovering depth using multi-plane stereo and spatial propagation |
CN101908230B (en) * | 2010-07-23 | 2011-11-23 | 东南大学 | Regional depth edge detection and binocular stereo matching-based three-dimensional reconstruction method |
CN104680510B (en) * | 2013-12-18 | 2017-06-16 | 北京大学深圳研究生院 | RADAR disparity maps optimization method, Stereo matching disparity map optimization method and system |
US9430834B2 (en) * | 2014-01-20 | 2016-08-30 | Nokia Corporation | Visual perception matching cost on binocular stereo images |
KR102016551B1 (en) * | 2014-01-24 | 2019-09-02 | 한화디펜스 주식회사 | Apparatus and method for estimating position |
TWI549477B (en) * | 2014-04-17 | 2016-09-11 | 聚晶半導體股份有限公司 | Method and apparatus for generating depth information |
US10582179B2 (en) * | 2016-02-01 | 2020-03-03 | Samsung Electronics Co., Ltd. | Method and apparatus for processing binocular disparity image |
CN105956597A (en) * | 2016-05-04 | 2016-09-21 | 浙江大学 | Binocular stereo matching method based on convolution neural network |
CN106447661A (en) * | 2016-09-28 | 2017-02-22 | 深圳市优象计算技术有限公司 | Rapid depth image generating method |
CN106679567A (en) * | 2017-02-14 | 2017-05-17 | 成都国铁电气设备有限公司 | Contact net and strut geometric parameter detecting measuring system based on binocular stereoscopic vision |
CN107316326B (en) * | 2017-06-29 | 2020-10-30 | 海信集团有限公司 | Edge-based disparity map calculation method and device applied to binocular stereo vision |
CN108230235B (en) * | 2017-07-28 | 2021-07-02 | 北京市商汤科技开发有限公司 | Disparity map generation system, method and storage medium |
CN107506711B (en) * | 2017-08-15 | 2020-06-30 | 江苏科技大学 | Convolutional neural network-based binocular vision barrier detection system and method |
CN107767413B (en) * | 2017-09-20 | 2020-02-18 | 华南理工大学 | Image depth estimation method based on convolutional neural network |
CN108257165B (en) * | 2018-01-03 | 2020-03-24 | 上海兴芯微电子科技有限公司 | Image stereo matching method and binocular vision equipment |
CN108381549B (en) * | 2018-01-26 | 2021-12-14 | 广东三三智能科技有限公司 | Binocular vision guide robot rapid grabbing method and device and storage medium |
CN108961327B (en) * | 2018-05-22 | 2021-03-30 | 深圳市商汤科技有限公司 | Monocular depth estimation method and device, equipment and storage medium thereof |
CN109191512B (en) * | 2018-07-27 | 2020-10-30 | 深圳市商汤科技有限公司 | Binocular image depth estimation method, binocular image depth estimation device, binocular image depth estimation apparatus, program, and medium |
CN109887019B (en) * | 2019-02-19 | 2022-05-24 | 北京市商汤科技开发有限公司 | Binocular matching method and device, equipment and storage medium |
-
2019
- 2019-02-19 CN CN201910127860.4A patent/CN109887019B/en active Active
- 2019-09-26 SG SG11202011008XA patent/SG11202011008XA/en unknown
- 2019-09-26 JP JP2020565808A patent/JP7153091B2/en active Active
- 2019-09-26 KR KR1020207031264A patent/KR20200136996A/en not_active Application Discontinuation
- 2019-09-26 WO PCT/CN2019/108314 patent/WO2020168716A1/en active Application Filing
-
2020
- 2020-10-28 US US17/082,640 patent/US20210042954A1/en not_active Abandoned
Also Published As
Publication number | Publication date |
---|---|
KR20200136996A (en) | 2020-12-08 |
CN109887019A (en) | 2019-06-14 |
JP2021526683A (en) | 2021-10-07 |
US20210042954A1 (en) | 2021-02-11 |
WO2020168716A1 (en) | 2020-08-27 |
JP7153091B2 (en) | 2022-10-13 |
CN109887019B (en) | 2022-05-24 |
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