CN109154973B - 执行卷积图像变换估算的方法和系统 - Google Patents
执行卷积图像变换估算的方法和系统 Download PDFInfo
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- CN109154973B CN109154973B CN201780030961.9A CN201780030961A CN109154973B CN 109154973 B CN109154973 B CN 109154973B CN 201780030961 A CN201780030961 A CN 201780030961A CN 109154973 B CN109154973 B CN 109154973B
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4046—Scaling of whole images or parts thereof, e.g. expanding or contracting using neural networks
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- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
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- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/14—Transformations for image registration, e.g. adjusting or mapping for alignment of images
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/403—Edge-driven scaling; Edge-based scaling
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/12—Edge-based segmentation
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/174—Segmentation; Edge detection involving the use of two or more images
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
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- 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
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- 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
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- 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
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- 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
- G06T2207/20084—Artificial neural networks [ANN]
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- 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
- G06T2207/20112—Image segmentation details
- G06T2207/20164—Salient point detection; Corner detection
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201662339799P | 2016-05-20 | 2016-05-20 | |
| US62/339,799 | 2016-05-20 | ||
| PCT/US2017/033661 WO2017201487A1 (en) | 2016-05-20 | 2017-05-19 | Method and system for performing convolutional image transformation estimation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109154973A CN109154973A (zh) | 2019-01-04 |
| CN109154973B true CN109154973B (zh) | 2021-10-26 |
Family
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Family Applications (1)
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| CN201780030961.9A Active CN109154973B (zh) | 2016-05-20 | 2017-05-19 | 执行卷积图像变换估算的方法和系统 |
Country Status (9)
| Country | Link |
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| US (3) | US10489708B2 (enExample) |
| EP (1) | EP3459003B1 (enExample) |
| JP (3) | JP6821707B2 (enExample) |
| KR (4) | KR102347204B1 (enExample) |
| CN (1) | CN109154973B (enExample) |
| AU (2) | AU2017267983B2 (enExample) |
| CA (1) | CA3021085A1 (enExample) |
| IL (2) | IL262886B (enExample) |
| WO (1) | WO2017201487A1 (enExample) |
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| AU2017267983B2 (en) | 2016-05-20 | 2022-03-31 | Magic Leap, Inc. | Method and system for performing convolutional image transformation estimation |
| US10304191B1 (en) | 2016-10-11 | 2019-05-28 | Zoox, Inc. | Three dimensional bounding box estimation from two dimensional images |
| IL266595B (en) | 2016-11-16 | 2022-08-01 | Magic Leap Inc | Thermal management systems for wearable components |
| US11347054B2 (en) | 2017-02-16 | 2022-05-31 | Magic Leap, Inc. | Systems and methods for augmented reality |
| US10783394B2 (en) * | 2017-06-20 | 2020-09-22 | Nvidia Corporation | Equivariant landmark transformation for landmark localization |
| JP7091209B2 (ja) * | 2018-01-29 | 2022-06-27 | パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカ | 情報処理方法及び情報処理システム |
| US11875251B2 (en) * | 2018-05-03 | 2024-01-16 | Samsung Electronics Co., Ltd. | Neural network method and apparatus |
| US11202000B2 (en) * | 2018-06-18 | 2021-12-14 | Sony Interactive Entertainment Inc. | Learning apparatus, image generation apparatus, learning method, image generation method, and program |
| EP3850581A4 (en) * | 2018-09-15 | 2022-05-11 | Qualcomm Incorporated | SYSTEMS AND METHODS FOR VSLAM SCALE ESTIMATION USING AN OPTICAL FLOW SENSOR ON A ROBOT |
| CN109670532B (zh) * | 2018-11-23 | 2022-12-09 | 腾讯医疗健康(深圳)有限公司 | 生物体器官组织图像的异常识别方法、装置及系统 |
| US11995854B2 (en) * | 2018-12-19 | 2024-05-28 | Nvidia Corporation | Mesh reconstruction using data-driven priors |
| CN110827375B (zh) * | 2019-10-31 | 2023-05-30 | 湖北大学 | 一种基于微光图像的红外图像真彩着色方法及系统 |
| CN111027421A (zh) * | 2019-11-26 | 2020-04-17 | 西安宏规电子科技有限公司 | 一种基于图的直推式半监督行人再识别方法 |
| EP4073690B1 (en) * | 2019-12-12 | 2025-10-29 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Target detection method, terminal device, and medium |
| KR102343363B1 (ko) * | 2020-03-06 | 2021-12-24 | 경북대학교 산학협력단 | 2차원 손뼈 투영 이미지로부터 회전된 2차원 손뼈 투영 이미지 생성 방법, 이를 수행하기 위한 기록 매체 및 장치 |
| US11830160B2 (en) * | 2020-05-05 | 2023-11-28 | Nvidia Corporation | Object detection using planar homography and self-supervised scene structure understanding |
| KR20230026398A (ko) | 2020-06-12 | 2023-02-24 | 유니버시티 오브 워싱턴 | 근안 디스플레이들에서의 눈 추적 |
| CN112016612A (zh) * | 2020-08-26 | 2020-12-01 | 四川阿泰因机器人智能装备有限公司 | 一种基于单目深度估计的多传感器融合slam方法 |
| US11899095B2 (en) * | 2020-09-17 | 2024-02-13 | Texas Instruments Incorporated | Doppler processing in frequency-modulated continuous wave radar systems using dither |
| US12198395B2 (en) | 2021-01-19 | 2025-01-14 | Objectvideo Labs, Llc | Object localization in video |
| WO2022236647A1 (en) * | 2021-05-11 | 2022-11-17 | Huawei Technologies Co., Ltd. | Methods, devices, and computer readable media for training a keypoint estimation network using cgan-based data augmentation |
| CN113361542B (zh) * | 2021-06-02 | 2022-08-30 | 合肥工业大学 | 一种基于深度学习的局部特征提取方法 |
| KR20230030996A (ko) | 2021-08-26 | 2023-03-07 | 현대자동차주식회사 | 객체 추적 장치 및 방법 |
| US11688169B1 (en) * | 2022-08-29 | 2023-06-27 | Bnsf Railway Company | Drone based automated yard check |
| US12212899B2 (en) * | 2022-09-07 | 2025-01-28 | Texas Instruments Incorporated | System and method for projector geometric correction |
| CN116310339B (zh) * | 2023-03-23 | 2025-08-12 | 长沙理工大学 | 基于矩阵分解增强全局特征的遥感图像分割方法 |
| CN119556017B (zh) * | 2024-10-08 | 2025-10-10 | 扬州市双宝电力设备有限公司 | 一种基于电致发光效应的复合绝缘子电场畸变检测方法 |
| CN120869320A (zh) * | 2025-09-22 | 2025-10-31 | 好特许(杭州)品牌管理有限公司 | 一种基于大模型的重量识别方法、设备及介质 |
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| CN102156995A (zh) * | 2011-04-21 | 2011-08-17 | 北京理工大学 | 一种运动相机下的视频运动前景分割方法 |
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| US20120092329A1 (en) | 2010-10-13 | 2012-04-19 | Qualcomm Incorporated | Text-based 3d augmented reality |
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| KR102028952B1 (ko) * | 2013-02-21 | 2019-10-08 | 삼성전자주식회사 | 휴대 단말에 의해 촬영된 이미지들을 합성하는 방법, 기계로 읽을 수 있는 저장 매체 및 휴대 단말 |
| JP6448767B2 (ja) * | 2014-04-24 | 2019-01-09 | ナント・ホールデイングス・アイ・ピー・エル・エル・シー | 画像物体認識におけるロバスト特徴特定 |
| JP2016015037A (ja) * | 2014-07-02 | 2016-01-28 | キヤノン株式会社 | 情報処理装置及びその制御方法、並びに、ビデオカメラ |
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| CN106485192B (zh) * | 2015-09-02 | 2019-12-06 | 富士通株式会社 | 用于图像识别的神经网络的训练方法和装置 |
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| AU2017267983B2 (en) | 2016-05-20 | 2022-03-31 | Magic Leap, Inc. | Method and system for performing convolutional image transformation estimation |
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| US10783394B2 (en) * | 2017-06-20 | 2020-09-22 | Nvidia Corporation | Equivariant landmark transformation for landmark localization |
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2017
- 2017-05-19 AU AU2017267983A patent/AU2017267983B2/en active Active
- 2017-05-19 KR KR1020217004440A patent/KR102347204B1/ko active Active
- 2017-05-19 US US15/600,545 patent/US10489708B2/en active Active
- 2017-05-19 JP JP2018560637A patent/JP6821707B2/ja active Active
- 2017-05-19 KR KR1020227030570A patent/KR102506459B1/ko active Active
- 2017-05-19 CN CN201780030961.9A patent/CN109154973B/zh active Active
- 2017-05-19 EP EP17800299.4A patent/EP3459003B1/en active Active
- 2017-05-19 KR KR1020217043357A patent/KR102442018B1/ko active Active
- 2017-05-19 KR KR1020187035437A patent/KR102218603B1/ko active Active
- 2017-05-19 IL IL262886A patent/IL262886B/en unknown
- 2017-05-19 CA CA3021085A patent/CA3021085A1/en active Pending
- 2017-05-19 WO PCT/US2017/033661 patent/WO2017201487A1/en not_active Ceased
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2019
- 2019-09-30 US US16/588,505 patent/US11062209B2/en active Active
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2020
- 2020-03-12 JP JP2020043362A patent/JP7005669B2/ja active Active
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2021
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2022
- 2022-01-05 JP JP2022000411A patent/JP7241210B2/ja active Active
- 2022-06-29 AU AU2022204613A patent/AU2022204613A1/en not_active Abandoned
- 2022-08-01 IL IL295245A patent/IL295245B2/en unknown
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102156995A (zh) * | 2011-04-21 | 2011-08-17 | 北京理工大学 | 一种运动相机下的视频运动前景分割方法 |
Non-Patent Citations (1)
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| Equivalence and efficiency of image alignment algorithms;Simon Baker,Iain Matthews;《IEEE》;20030415;全文 * |
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