SG11201912423WA - Depth recovery methods and apparatuses for monocular image, and computer devices - Google Patents

Depth recovery methods and apparatuses for monocular image, and computer devices

Info

Publication number
SG11201912423WA
SG11201912423WA SG11201912423WA SG11201912423WA SG11201912423WA SG 11201912423W A SG11201912423W A SG 11201912423WA SG 11201912423W A SG11201912423W A SG 11201912423WA SG 11201912423W A SG11201912423W A SG 11201912423WA SG 11201912423W A SG11201912423W A SG 11201912423WA
Authority
SG
Singapore
Prior art keywords
apparatuses
computer devices
recovery methods
monocular image
depth recovery
Prior art date
Application number
SG11201912423WA
Other languages
English (en)
Inventor
Hujun Bao
Guofeng Zhang
Qinhong Jiang
Jianping Shi
Original Assignee
Zhejiang Sensetime Technology Development Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhejiang Sensetime Technology Development Co Ltd filed Critical Zhejiang Sensetime Technology Development Co Ltd
Publication of SG11201912423WA publication Critical patent/SG11201912423WA/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/90—Dynamic range modification of images or parts thereof
    • G06T5/94—Dynamic range modification of images or parts thereof based on local image properties, e.g. for local contrast enhancement
    • 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
    • G06T2207/10004—Still image; Photographic 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • 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
    • G06T2207/20084—Artificial neural networks [ANN]
    • 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)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Analysis (AREA)
SG11201912423WA 2018-05-23 2018-11-19 Depth recovery methods and apparatuses for monocular image, and computer devices SG11201912423WA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201810502947.0A CN108932734B (zh) 2018-05-23 2018-05-23 单目图像的深度恢复方法及装置、计算机设备
PCT/CN2018/116276 WO2019223262A1 (zh) 2018-05-23 2018-11-19 单目图像的深度恢复方法及装置、计算机设备

Publications (1)

Publication Number Publication Date
SG11201912423WA true SG11201912423WA (en) 2020-01-30

Family

ID=64449119

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11201912423WA SG11201912423WA (en) 2018-05-23 2018-11-19 Depth recovery methods and apparatuses for monocular image, and computer devices

Country Status (5)

Country Link
US (1) US11004221B2 (ja)
JP (1) JP6850399B2 (ja)
CN (1) CN108932734B (ja)
SG (1) SG11201912423WA (ja)
WO (1) WO2019223262A1 (ja)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6971934B2 (ja) * 2018-08-10 2021-11-24 株式会社東芝 画像処理装置
CN109948689B (zh) * 2019-03-13 2022-06-03 北京达佳互联信息技术有限公司 一种视频生成方法、装置、电子设备及存储介质
CN110515463B (zh) * 2019-08-29 2023-02-28 南京泛在地理信息产业研究院有限公司 一种手势交互式视频场景中基于单目视觉的3d模型嵌入方法
CN112446909B (zh) * 2019-08-30 2022-02-01 上海商汤临港智能科技有限公司 一种深度图像补全方法及装置、计算机可读存储介质
CN110992304B (zh) * 2019-10-30 2023-07-07 浙江力邦合信智能制动系统股份有限公司 二维图像深度测量方法及其在车辆安全监测中的应用
US20210366139A1 (en) * 2020-05-21 2021-11-25 Samsung Electronics Co., Ltd. Method and apparatus for generating depth image
US12014507B2 (en) 2021-06-10 2024-06-18 Toyota Motor Engineering & Manufacturing North America, Inc. Systems and methods for training a prediction system
CN114143517A (zh) * 2021-10-26 2022-03-04 深圳华侨城卡乐技术有限公司 一种基于重叠区域的融合蒙板计算方法、系统及存储介质

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8422766B2 (en) * 2008-06-24 2013-04-16 Thomson Licensing System and method for depth extraction of images with motion compensation
RU2529380C2 (ru) * 2009-04-29 2014-09-27 Конинклейке Филипс Электроникс Н.В. Оценка глубины в реальном времени по монокулярным изображениям эндоскопа
US8284998B2 (en) * 2010-07-01 2012-10-09 Arcsoft Hangzhou Co., Ltd. Method of estimating depths from a single image displayed on display
US8982187B2 (en) * 2011-09-19 2015-03-17 Himax Technologies Limited System and method of rendering stereoscopic images
US9471988B2 (en) * 2011-11-02 2016-10-18 Google Inc. Depth-map generation for an input image using an example approximate depth-map associated with an example similar image
CN103413347B (zh) * 2013-07-05 2016-07-06 南京邮电大学 基于前景背景融合的单目图像深度图提取方法
CN105374039B (zh) * 2015-11-16 2018-09-21 辽宁大学 基于轮廓锐度的单目图像深度信息估计方法
CN106157307B (zh) * 2016-06-27 2018-09-11 浙江工商大学 一种基于多尺度cnn和连续crf的单目图像深度估计方法
CN106768325A (zh) * 2016-11-21 2017-05-31 清华大学 多光谱光场视频采集装置
WO2018160998A1 (en) * 2017-03-02 2018-09-07 Arizona Board Of Regents On Behalf Of Arizona State University Live-cell computed tomography
CN107204010B (zh) * 2017-04-28 2019-11-19 中国科学院计算技术研究所 一种单目图像深度估计方法与系统
CN107578436B (zh) * 2017-08-02 2020-06-12 南京邮电大学 一种基于全卷积神经网络fcn的单目图像深度估计方法
US10504282B2 (en) * 2018-03-21 2019-12-10 Zoox, Inc. Generating maps without shadows using geometry

Also Published As

Publication number Publication date
CN108932734A (zh) 2018-12-04
WO2019223262A1 (zh) 2019-11-28
JP6850399B2 (ja) 2021-03-31
US20200143552A1 (en) 2020-05-07
JP2020524355A (ja) 2020-08-13
CN108932734B (zh) 2021-03-09
US11004221B2 (en) 2021-05-11

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