RU2718423C2 - Способ определения карты глубин для изображения и устройство для его осуществления - Google Patents

Способ определения карты глубин для изображения и устройство для его осуществления Download PDF

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RU2718423C2
RU2718423C2 RU2017144798A RU2017144798A RU2718423C2 RU 2718423 C2 RU2718423 C2 RU 2718423C2 RU 2017144798 A RU2017144798 A RU 2017144798A RU 2017144798 A RU2017144798 A RU 2017144798A RU 2718423 C2 RU2718423 C2 RU 2718423C2
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image
depth
probability
pixels
value
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RU2017144798A
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RU2017144798A (ru
RU2017144798A3 (enExample
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Кристиан ВАРЕКАМП
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Конинклейке Филипс Н.В.
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2433—Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
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    • G06T5/20—Image enhancement or restoration using local operators
    • G06T5/30—Erosion or dilatation, e.g. thinning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06T7/593—Depth or shape recovery from multiple images from stereo images
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    • G06V10/7747—Organisation of the process, e.g. bagging or boosting
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    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/809—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of classification results, e.g. where the classifiers operate on the same input data
    • G—PHYSICS
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    • G06V20/00—Scenes; Scene-specific elements
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    • G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/635—Overlay text, e.g. embedded captions in a TV programme
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    • G06V20/64—Three-dimensional [3D] objects
    • G06V20/647—Three-dimensional [3D] objects by matching two-dimensional images to three-dimensional objects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H—ELECTRICITY
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    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/10—Processing, recording or transmission of stereoscopic or multi-view image signals
    • H04N13/106—Processing image signals
    • H04N13/128—Adjusting depth or disparity
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/10—Processing, recording or transmission of stereoscopic or multi-view image signals
    • H04N13/106—Processing image signals
    • H04N13/172—Processing image signals image signals comprising non-image signal components, e.g. headers or format information
    • H04N13/183—On-screen display [OSD] information, e.g. subtitles or menus
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G06T2207/10012—Stereo images
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10028—Range image; Depth image; 3D point clouds
    • 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
    • G06T2207/20076—Probabilistic image processing
    • 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
    • G06T2207/20172—Image enhancement details
    • G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
    • 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

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Multimedia (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • Signal Processing (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Probability & Statistics with Applications (AREA)
  • Human Computer Interaction (AREA)
  • Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
  • Controls And Circuits For Display Device (AREA)
  • Processing Or Creating Images (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
RU2017144798A 2015-05-21 2016-05-06 Способ определения карты глубин для изображения и устройство для его осуществления RU2718423C2 (ru)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP15168577.3 2015-05-21
EP15168577 2015-05-21
PCT/EP2016/060221 WO2016184700A1 (en) 2015-05-21 2016-05-06 Method and apparatus for determining a depth map for an image

Publications (3)

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RU2017144798A RU2017144798A (ru) 2019-06-24
RU2017144798A3 RU2017144798A3 (enExample) 2019-09-26
RU2718423C2 true RU2718423C2 (ru) 2020-04-02

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US (1) US10580154B2 (enExample)
EP (1) EP3298578B1 (enExample)
JP (1) JP6715864B2 (enExample)
KR (1) KR102746047B1 (enExample)
CN (1) CN107636728B (enExample)
BR (1) BR112017024765A2 (enExample)
CA (1) CA2986182A1 (enExample)
RU (1) RU2718423C2 (enExample)
TW (1) TWI712990B (enExample)
WO (1) WO2016184700A1 (enExample)

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US10529085B2 (en) * 2018-03-30 2020-01-07 Samsung Electronics Co., Ltd. Hardware disparity evaluation for stereo matching
CN109285164B (zh) * 2018-09-17 2022-04-05 代黎明 医学图像目标区域定位方法及系统
RU2730215C1 (ru) * 2019-11-18 2020-08-20 федеральное государственное бюджетное образовательное учреждение высшего образования "Донской государственный технический университет" (ДГТУ) Устройство для восстановления изображений с поиском похожих блоков на основе нейронной сети
RU2716311C1 (ru) * 2019-11-18 2020-03-12 федеральное государственное бюджетное образовательное учреждение высшего образования "Донской государственный технический университет" (ДГТУ) Устройство для восстановления карты глубины с поиском похожих блоков на основе нейронной сети
CN114692707B (zh) * 2020-12-25 2024-12-13 珠海金山办公软件有限公司 一种文本角度分类的方法、装置、计算机存储介质及终端
CN116385311B (zh) * 2023-04-27 2025-11-04 深圳市即构科技有限公司 低照度图像处理方法、装置、设备及存储介质

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CN107636728A (zh) 2018-01-26
CN107636728B (zh) 2022-03-01
RU2017144798A (ru) 2019-06-24
KR102746047B1 (ko) 2024-12-26
JP6715864B2 (ja) 2020-07-01
BR112017024765A2 (pt) 2018-07-31
EP3298578C0 (en) 2024-04-10
TW201710998A (zh) 2017-03-16
US10580154B2 (en) 2020-03-03
JP2018520531A (ja) 2018-07-26
TWI712990B (zh) 2020-12-11
EP3298578A1 (en) 2018-03-28
CA2986182A1 (en) 2016-11-24
KR20180011215A (ko) 2018-01-31
WO2016184700A1 (en) 2016-11-24
RU2017144798A3 (enExample) 2019-09-26
US20180150964A1 (en) 2018-05-31
EP3298578B1 (en) 2024-04-10

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