GB2553782B - Predicting depth from image data using a statistical model - Google Patents

Predicting depth from image data using a statistical model Download PDF

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Publication number
GB2553782B
GB2553782B GB1615470.0A GB201615470A GB2553782B GB 2553782 B GB2553782 B GB 2553782B GB 201615470 A GB201615470 A GB 201615470A GB 2553782 B GB2553782 B GB 2553782B
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Prior art keywords
image data
statistical model
predicting depth
predicting
depth
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GB2553782A (en
GB201615470D0 (en
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Godard Clement
J Brostow Gabriel
Mac Aodha Oisin
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Niantic Inc
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Niantic Inc
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Publication of GB201615470D0 publication Critical patent/GB201615470D0/en
Priority to CA3035298A priority patent/CA3035298C/en
Priority to AU2017324923A priority patent/AU2017324923B2/en
Priority to US16/332,343 priority patent/US11100401B2/en
Priority to JP2019535986A priority patent/JP7177062B2/ja
Priority to KR1020197010331A priority patent/KR102487270B1/ko
Priority to EP17794764.5A priority patent/EP3510561B1/en
Priority to CN201780055710.6A priority patent/CN109791697B/zh
Priority to BR112019004798-0A priority patent/BR112019004798B1/pt
Priority to PCT/GB2017/052671 priority patent/WO2018046964A1/en
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    • G06—COMPUTING OR CALCULATING; COUNTING
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    • G06T1/20—Processor architectures; Processor configuration, e.g. pipelining
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    • 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
    • G06T3/4007—Scaling of whole images or parts thereof, e.g. expanding or contracting based on interpolation, e.g. bilinear interpolation
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    • G06T7/55—Depth or shape recovery from multiple images
    • G06T7/593—Depth or shape recovery from multiple images from stereo images
    • G—PHYSICS
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    • 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
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    • G06T2207/20084—Artificial neural networks [ANN]
    • 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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GB1615470.0A 2016-09-12 2016-09-12 Predicting depth from image data using a statistical model Active GB2553782B (en)

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Application Number Priority Date Filing Date Title
GB1615470.0A GB2553782B (en) 2016-09-12 2016-09-12 Predicting depth from image data using a statistical model
BR112019004798-0A BR112019004798B1 (pt) 2016-09-12 2017-09-12 Método implantado por computador e mídia de armazenamento
CA3035298A CA3035298C (en) 2016-09-12 2017-09-12 Predicting depth from image data using a statistical model
US16/332,343 US11100401B2 (en) 2016-09-12 2017-09-12 Predicting depth from image data using a statistical model
JP2019535986A JP7177062B2 (ja) 2016-09-12 2017-09-12 統計モデルを用いた画像データからの深度予測
KR1020197010331A KR102487270B1 (ko) 2016-09-12 2017-09-12 통계적 모델을 이용한 이미지 데이터로부터의 깊이 예측
EP17794764.5A EP3510561B1 (en) 2016-09-12 2017-09-12 Predicting depth from image data using a statistical model
CN201780055710.6A CN109791697B (zh) 2016-09-12 2017-09-12 使用统计模型从图像数据预测深度
AU2017324923A AU2017324923B2 (en) 2016-09-12 2017-09-12 Predicting depth from image data using a statistical model
PCT/GB2017/052671 WO2018046964A1 (en) 2016-09-12 2017-09-12 Predicting depth from image data using a statistical model

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GB2553782A GB2553782A (en) 2018-03-21
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EP (1) EP3510561B1 (enExample)
JP (1) JP7177062B2 (enExample)
KR (1) KR102487270B1 (enExample)
CN (1) CN109791697B (enExample)
AU (1) AU2017324923B2 (enExample)
CA (1) CA3035298C (enExample)
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