JP2022517849A - モジュール式画像補間方法 - Google Patents

モジュール式画像補間方法 Download PDF

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Publication number
JP2022517849A
JP2022517849A JP2021542481A JP2021542481A JP2022517849A JP 2022517849 A JP2022517849 A JP 2022517849A JP 2021542481 A JP2021542481 A JP 2021542481A JP 2021542481 A JP2021542481 A JP 2021542481A JP 2022517849 A JP2022517849 A JP 2022517849A
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Japan
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image
rendered
area
defective
scenario
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JP2021542481A
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English (en)
Japanese (ja)
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JPWO2020164671A5 (enExample
Inventor
グリュンヴェーデル・エカテリナ
グローガー・シャルロッテ
パナコス・アンドレアス
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Aumovio Microelectronic GmbH
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Conti Temic Microelectronic GmbH
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Publication of JP2022517849A publication Critical patent/JP2022517849A/ja
Publication of JPWO2020164671A5 publication Critical patent/JPWO2020164671A5/ja
Priority to JP2024002421A priority Critical patent/JP2024041895A/ja
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/77Retouching; Inpainting; Scratch removal
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R1/00Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
    • B60R1/20Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
    • B60R1/22Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles for viewing an area outside the vehicle, e.g. the exterior of the vehicle
    • B60R1/28Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles for viewing an area outside the vehicle, e.g. the exterior of the vehicle with an adjustable field of view
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/20Image enhancement or restoration using local operators
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/60Image enhancement or restoration using machine learning, e.g. neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G06V20/586Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of parking space
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/64Three-dimensional objects
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30248Vehicle exterior or interior
    • G06T2207/30252Vehicle exterior; Vicinity of vehicle
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30248Vehicle exterior or interior
    • G06T2207/30252Vehicle exterior; Vicinity of vehicle
    • G06T2207/30264Parking

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Mechanical Engineering (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Closed-Circuit Television Systems (AREA)
JP2021542481A 2019-02-11 2020-01-30 モジュール式画像補間方法 Pending JP2022517849A (ja)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2024002421A JP2024041895A (ja) 2019-02-11 2024-01-11 モジュール式画像補間方法

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE102019201702.9A DE102019201702A1 (de) 2019-02-11 2019-02-11 Modulares inpainting Verfahren
DE102019201702.9 2019-02-11
PCT/DE2020/200008 WO2020164671A1 (de) 2019-02-11 2020-01-30 Modulares inpainting verfahren

Related Child Applications (1)

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JP2024002421A Division JP2024041895A (ja) 2019-02-11 2024-01-11 モジュール式画像補間方法

Publications (2)

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JP2022517849A true JP2022517849A (ja) 2022-03-10
JPWO2020164671A5 JPWO2020164671A5 (enExample) 2023-01-05

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JP2021542481A Pending JP2022517849A (ja) 2019-02-11 2020-01-30 モジュール式画像補間方法
JP2024002421A Pending JP2024041895A (ja) 2019-02-11 2024-01-11 モジュール式画像補間方法

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Country Status (6)

Country Link
US (1) US11961215B2 (enExample)
EP (1) EP3924932A1 (enExample)
JP (2) JP2022517849A (enExample)
CN (1) CN113330480A (enExample)
DE (1) DE102019201702A1 (enExample)
WO (1) WO2020164671A1 (enExample)

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* Cited by examiner, † Cited by third party
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US12165406B2 (en) * 2021-12-20 2024-12-10 Here Global B.V. Method, apparatus, and computer program product for identifying and correcting intersection lane geometry in map data
US12013255B2 (en) 2021-12-20 2024-06-18 Here Global B.V. Method, apparatus, and computer program product for correcting lane geometry in map data
CN115272639B (zh) * 2022-09-19 2022-12-23 武汉天际航信息科技股份有限公司 修复图像中车辆区域的方法、装置和计算机程序产品
CN118351288B (zh) * 2024-04-16 2024-11-22 北京积加科技有限公司 图像区域标记修正方法、装置、设备和计算机可读介质

Citations (7)

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JP2005301517A (ja) * 2004-04-08 2005-10-27 Toyota Motor Corp 画像処理装置および画像処理方法
JP2006332785A (ja) * 2005-05-23 2006-12-07 Univ Of Tokyo 画像補完装置及び画像補完方法並びにプログラム
US20140347470A1 (en) * 2013-05-23 2014-11-27 GM Global Technology Operations LLC Enhanced top-down view generation in a front curb viewing system
WO2016083657A1 (en) * 2014-11-26 2016-06-02 CURIOUS Al OY Neural network structure and a method thereto
WO2018072793A1 (de) * 2016-10-20 2018-04-26 Conti Temic Microelectronic Gmbh Verfahren und vorrichtung zur erzeugung einer fahrzeugumgebungsansicht bei einem fahrzeug
US20180165798A1 (en) * 2016-12-14 2018-06-14 Adobe Systems Incorporated Image hole filling that accounts for global structure and local texture
CN108171663A (zh) * 2017-12-22 2018-06-15 哈尔滨工业大学 基于特征图最近邻替换的卷积神经网络的图像填充系统

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US8971612B2 (en) * 2011-12-15 2015-03-03 Microsoft Corporation Learning image processing tasks from scene reconstructions
CN103310415A (zh) 2013-03-15 2013-09-18 清华大学 基于人脸的图像缺损补绘方法及系统
US10380239B2 (en) 2013-12-03 2019-08-13 Sharethrough Inc. Dynamic native advertisment insertion
US9542609B2 (en) * 2014-02-04 2017-01-10 Xerox Corporation Automatic training of a parked vehicle detector for large deployment
US11017311B2 (en) * 2014-06-30 2021-05-25 Hewlett Packard Enterprise Development Lp Dataset augmentation based on occlusion and inpainting
CN104537663B (zh) 2014-12-26 2018-01-02 广东中科遥感技术有限公司 一种图像抖动的快速校正方法
WO2016179303A1 (en) * 2015-05-04 2016-11-10 Kamama, Inc. System and method of vehicle sensor management
US9902322B2 (en) * 2015-10-30 2018-02-27 Bendix Commercial Vehicle Systems Llc Filling in surround view areas blocked by mirrors or other vehicle parts
CN106897655A (zh) * 2015-12-18 2017-06-27 富士通株式会社 停车位的检测装置、方法以及图像处理设备
JP2018107573A (ja) * 2016-12-26 2018-07-05 株式会社東海理化電機製作所 車両用視認装置
US10140690B2 (en) 2017-02-03 2018-11-27 Harman International Industries, Incorporated System and method for image presentation by a vehicle driver assist module
JP6837880B2 (ja) * 2017-03-15 2021-03-03 株式会社東芝 画像処理装置、画像処理システム、画像処理方法、およびプログラム
CN109242791B (zh) 2018-08-22 2022-07-26 东北农业大学 一种针对破损植物叶片的批量修复方法

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005301517A (ja) * 2004-04-08 2005-10-27 Toyota Motor Corp 画像処理装置および画像処理方法
JP2006332785A (ja) * 2005-05-23 2006-12-07 Univ Of Tokyo 画像補完装置及び画像補完方法並びにプログラム
US20140347470A1 (en) * 2013-05-23 2014-11-27 GM Global Technology Operations LLC Enhanced top-down view generation in a front curb viewing system
WO2016083657A1 (en) * 2014-11-26 2016-06-02 CURIOUS Al OY Neural network structure and a method thereto
WO2018072793A1 (de) * 2016-10-20 2018-04-26 Conti Temic Microelectronic Gmbh Verfahren und vorrichtung zur erzeugung einer fahrzeugumgebungsansicht bei einem fahrzeug
US20180165798A1 (en) * 2016-12-14 2018-06-14 Adobe Systems Incorporated Image hole filling that accounts for global structure and local texture
CN108171663A (zh) * 2017-12-22 2018-06-15 哈尔滨工业大学 基于特征图最近邻替换的卷积神经网络的图像填充系统

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Publication number Publication date
JP2024041895A (ja) 2024-03-27
US20220156894A1 (en) 2022-05-19
DE102019201702A1 (de) 2020-08-13
US11961215B2 (en) 2024-04-16
WO2020164671A1 (de) 2020-08-20
EP3924932A1 (de) 2021-12-22
CN113330480A (zh) 2021-08-31

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