CA3166338A1 - Procede et appareil de positionnement d'objet, et systeme informatique - Google Patents
Procede et appareil de positionnement d'objet, et systeme informatiqueInfo
- Publication number
- CA3166338A1 CA3166338A1 CA3166338A CA3166338A CA3166338A1 CA 3166338 A1 CA3166338 A1 CA 3166338A1 CA 3166338 A CA3166338 A CA 3166338A CA 3166338 A CA3166338 A CA 3166338A CA 3166338 A1 CA3166338 A1 CA 3166338A1
- Authority
- CA
- Canada
- Prior art keywords
- image
- target
- color image
- depth
- model
- 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
- 238000000034 method Methods 0.000 title claims abstract description 61
- 238000012549 training Methods 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 13
- 238000012360 testing method Methods 0.000 claims description 13
- 238000010606 normalization Methods 0.000 claims description 12
- 230000009466 transformation Effects 0.000 claims description 12
- 230000006399 behavior Effects 0.000 abstract description 4
- 230000004927 fusion Effects 0.000 abstract description 2
- 238000006073 displacement reaction Methods 0.000 abstract 1
- 238000004891 communication Methods 0.000 description 4
- 238000001514 detection method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 239000003086 colorant Substances 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
-
- 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
- G06T7/344—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving models
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
-
- 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
- G06T2207/10024—Color image
-
- 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
- G06T2207/10028—Range image; Depth image; 3D point clouds
-
- 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
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
Abstract
L'invention concerne un procédé et un appareil de positionnement d'objet, ainsi qu'un système informatique. Le procédé consiste à : recevoir une image couleur et une image de profondeur correspondant à l'image couleur (310) ; réaliser une fusion d'image sur l'image couleur et l'image de profondeur pour obtenir une image cible (320) ; et entrer l'image cible dans un modèle prédéfini pour la reconnaissance, et positionner la position d'un objet cible dans l'image cible, une couche d'entrée du modèle prédéfini comprenant un canal RVB et un canal Alpha (330). Par comparaison avec une reconnaissance qui est uniquement basée sur une image couleur, l'efficacité et la précision du positionnement d'un objet cible sont améliorées, et le suivi d'un itinéraire de déplacement de l'objet cible peut être réalisé en fonction de la position de l'objet cible. Lorsque la présente invention est appliquée à un magasin à libre-service, un itinéraire d'achat d'un client peut être suivi, de telle sorte que la sécurité des biens est assurée, et la présente invention peut également être utilisée pour analyser des comportements d'achat du client, ce qui permet d'améliorer l'expérience d'achat de clients.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911396145.7 | 2019-12-30 | ||
| CN201911396145.7A CN111179340A (zh) | 2019-12-30 | 2019-12-30 | 一种物体的定位方法、装置及计算机*** |
| PCT/CN2020/111953 WO2021135321A1 (fr) | 2019-12-30 | 2020-08-28 | Procédé et appareil de positionnement d'objet, et système informatique |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CA3166338A1 true CA3166338A1 (fr) | 2021-07-08 |
Family
ID=70656069
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA3166338A Pending CA3166338A1 (fr) | 2019-12-30 | 2020-08-28 | Procede et appareil de positionnement d'objet, et systeme informatique |
Country Status (3)
| Country | Link |
|---|---|
| CN (1) | CN111179340A (fr) |
| CA (1) | CA3166338A1 (fr) |
| WO (1) | WO2021135321A1 (fr) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111179340A (zh) * | 2019-12-30 | 2020-05-19 | 苏宁云计算有限公司 | 一种物体的定位方法、装置及计算机*** |
| CN113766320A (zh) * | 2020-06-02 | 2021-12-07 | 云米互联科技(广东)有限公司 | 播放控制方法、电视机和存储介质 |
| CN111738995B (zh) * | 2020-06-10 | 2023-04-14 | 苏宁云计算有限公司 | 一种基于rgbd图像的目标检测方法、装置及计算机设备 |
| CN112330709A (zh) * | 2020-10-29 | 2021-02-05 | 奥比中光科技集团股份有限公司 | 一种前景图像提取方法、装置、可读存储介质及终端设备 |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102855493A (zh) * | 2012-08-02 | 2013-01-02 | 成都众合云盛科技有限公司 | 一种物体识别*** |
| US9767545B2 (en) * | 2013-07-16 | 2017-09-19 | Texas Instruments Incorporated | Depth sensor data with real-time processing of scene sensor data |
| CN107507235B (zh) * | 2017-08-31 | 2020-11-10 | 山东大学 | 一种基于rgb-d设备采集的彩色图像和深度图像的配准方法 |
| CN109146929B (zh) * | 2018-07-05 | 2021-12-31 | 中山大学 | 一种基于事件触发相机与三维激光雷达融合***下的物体识别与配准方法 |
| CN109102547A (zh) * | 2018-07-20 | 2018-12-28 | 上海节卡机器人科技有限公司 | 基于物体识别深度学习模型的机器人抓取位姿估计方法 |
| CN109993086B (zh) * | 2019-03-21 | 2021-07-27 | 北京华捷艾米科技有限公司 | 人脸检测方法、装置、***及终端设备 |
| CN109978949B (zh) * | 2019-03-26 | 2023-04-28 | 南开大学 | 基于计算机视觉的农作物识别与特征点三维坐标提取的一种方法 |
| CN111179340A (zh) * | 2019-12-30 | 2020-05-19 | 苏宁云计算有限公司 | 一种物体的定位方法、装置及计算机*** |
-
2019
- 2019-12-30 CN CN201911396145.7A patent/CN111179340A/zh active Pending
-
2020
- 2020-08-28 WO PCT/CN2020/111953 patent/WO2021135321A1/fr active Application Filing
- 2020-08-28 CA CA3166338A patent/CA3166338A1/fr active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| CN111179340A (zh) | 2020-05-19 |
| WO2021135321A1 (fr) | 2021-07-08 |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| EEER | Examination request |
Effective date: 20220629 |
|
| EEER | Examination request |
Effective date: 20220629 |
|
| EEER | Examination request |
Effective date: 20220629 |
|
| EEER | Examination request |
Effective date: 20220629 |
|
| EEER | Examination request |
Effective date: 20220629 |
|
| EEER | Examination request |
Effective date: 20220629 |