BR112013006018A2 - método para melhorar mapas de profundidade - Google Patents

método para melhorar mapas de profundidade

Info

Publication number
BR112013006018A2
BR112013006018A2 BR112013006018A BR112013006018A BR112013006018A2 BR 112013006018 A2 BR112013006018 A2 BR 112013006018A2 BR 112013006018 A BR112013006018 A BR 112013006018A BR 112013006018 A BR112013006018 A BR 112013006018A BR 112013006018 A2 BR112013006018 A2 BR 112013006018A2
Authority
BR
Brazil
Prior art keywords
depth maps
improving depth
improving
maps
depth
Prior art date
Application number
BR112013006018A
Other languages
English (en)
Inventor
Hugh Sanderson
Julien Charles Flack
Steven Pegg
Original Assignee
Dynamic Digital Depth Reseach Pty 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
Priority claimed from AU2010904133A external-priority patent/AU2010904133A0/en
Application filed by Dynamic Digital Depth Reseach Pty Ltd filed Critical Dynamic Digital Depth Reseach Pty Ltd
Publication of BR112013006018A2 publication Critical patent/BR112013006018A2/pt

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
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
    • G06T7/344—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1382—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger
    • G06V40/1388—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger using image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • 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
    • H04N13/128—Adjusting depth or disparity
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30196—Human being; Person
    • G06T2207/30201—Face
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/179—Human faces, e.g. facial parts, sketches or expressions metadata assisted face recognition

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Human Computer Interaction (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Image Analysis (AREA)
  • Processing Or Creating Images (AREA)
  • Image Processing (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
BR112013006018A 2010-09-14 2011-09-14 método para melhorar mapas de profundidade BR112013006018A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
AU2010904133A AU2010904133A0 (en) 2010-09-14 A method for improving depth maps by targeted image analysis and depth enhancement
PCT/AU2011/001181 WO2012034174A1 (en) 2010-09-14 2011-09-14 A method for enhancing depth maps

Publications (1)

Publication Number Publication Date
BR112013006018A2 true BR112013006018A2 (pt) 2016-06-07

Family

ID=45817327

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112013006018A BR112013006018A2 (pt) 2010-09-14 2011-09-14 método para melhorar mapas de profundidade

Country Status (8)

Country Link
US (1) US9305206B2 (pt)
EP (1) EP2617013A4 (pt)
AU (1) AU2011301774B2 (pt)
BR (1) BR112013006018A2 (pt)
CA (1) CA2812117C (pt)
MX (1) MX2013002833A (pt)
RU (1) RU2587425C2 (pt)
WO (1) WO2012034174A1 (pt)

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US8718356B2 (en) * 2010-08-23 2014-05-06 Texas Instruments Incorporated Method and apparatus for 2D to 3D conversion using scene classification and face detection
JP5929922B2 (ja) * 2012-01-26 2016-06-08 ソニー株式会社 画像処理装置および画像処理方法
US8989455B2 (en) * 2012-02-05 2015-03-24 Apple Inc. Enhanced face detection using depth information
TWI584222B (zh) * 2012-02-17 2017-05-21 鈺立微電子股份有限公司 立體影像處理器、立體影像互動系統、與相關立體影像顯示方法
JP2013191011A (ja) * 2012-03-14 2013-09-26 Casio Comput Co Ltd 画像処理装置、画像処理方法及びプログラム
US9092675B2 (en) * 2012-03-29 2015-07-28 The Nielsen Company (Us), Llc Methods and apparatus to count people in images
CN103679641B (zh) * 2012-09-26 2016-12-21 株式会社理光 深度图像增强方法和装置
KR20140063272A (ko) * 2012-11-16 2014-05-27 엘지전자 주식회사 영상표시장치, 및 그 동작방법
JP6320075B2 (ja) * 2014-02-19 2018-05-09 キヤノン株式会社 画像処理装置およびその制御方法
US9661298B2 (en) * 2015-08-06 2017-05-23 Intel Corporation Depth image enhancement for hardware generated depth images
US9967461B2 (en) 2015-10-14 2018-05-08 Google Inc. Stabilizing video using transformation matrices
WO2017145972A1 (ja) 2016-02-24 2017-08-31 大日本印刷株式会社 照明装置
JP6344463B2 (ja) 2016-02-24 2018-06-20 大日本印刷株式会社 照明装置
US10869015B2 (en) * 2016-06-30 2020-12-15 Intel Corporation Method and apparatus for virtual reality depth retargeting
US10671881B2 (en) 2017-04-11 2020-06-02 Microsoft Technology Licensing, Llc Image processing system with discriminative control
CN110276277A (zh) * 2019-06-03 2019-09-24 罗普特科技集团股份有限公司 用于检测人脸图像的方法和装置
CN110796664B (zh) * 2019-10-14 2023-05-23 北京字节跳动网络技术有限公司 图像处理方法、装置、电子设备及计算机可读存储介质
US11699235B2 (en) * 2019-11-20 2023-07-11 Baidu Usa Llc Way to generate tight 2D bounding boxes for autonomous driving labeling
US11741620B1 (en) * 2020-01-24 2023-08-29 Apple Inc. Plane detection using depth sensor and semantic information
US11386609B2 (en) 2020-10-27 2022-07-12 Microsoft Technology Licensing, Llc Head position extrapolation based on a 3D model and image data

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RU2237283C2 (ru) * 2001-11-27 2004-09-27 Самсунг Электроникс Ко., Лтд. Устройство и способ представления трехмерного объекта на основе изображений с глубиной
US7430315B2 (en) 2004-02-13 2008-09-30 Honda Motor Co. Face recognition system
US7519200B2 (en) * 2005-05-09 2009-04-14 Like.Com System and method for enabling the use of captured images through recognition
DE102005034597A1 (de) * 2005-07-25 2007-02-08 Robert Bosch Gmbh Verfahren und Anordnung zur Erzeugung einer Tiefenkarte
US20070098303A1 (en) * 2005-10-31 2007-05-03 Eastman Kodak Company Determining a particular person from a collection
CN101542529B (zh) * 2006-11-21 2012-10-03 皇家飞利浦电子股份有限公司 图像的深度图的生成方法和图像处理单元
US8213711B2 (en) 2007-04-03 2012-07-03 Her Majesty The Queen In Right Of Canada As Represented By The Minister Of Industry, Through The Communications Research Centre Canada Method and graphical user interface for modifying depth maps
CN101822068B (zh) * 2007-10-11 2012-05-30 皇家飞利浦电子股份有限公司 用于处理深度图的方法和设备
WO2009078957A1 (en) * 2007-12-14 2009-06-25 Flashfoto, Inc. Systems and methods for rule-based segmentation for objects with full or partial frontal view in color images
KR101420681B1 (ko) * 2008-02-01 2014-07-17 한국과학기술원 비디오 영상의 깊이 지도 생성 방법 및 장치
TW201005673A (en) * 2008-07-18 2010-02-01 Ind Tech Res Inst Example-based two-dimensional to three-dimensional image conversion method, computer readable medium therefor, and system
US8605956B2 (en) * 2009-11-18 2013-12-10 Google Inc. Automatically mining person models of celebrities for visual search applications
US8638329B2 (en) * 2009-12-09 2014-01-28 Deluxe 3D Llc Auto-stereoscopic interpolation
US8864581B2 (en) * 2010-01-29 2014-10-21 Microsoft Corporation Visual based identitiy tracking

Also Published As

Publication number Publication date
CA2812117C (en) 2020-03-24
AU2011301774B2 (en) 2016-02-18
MX2013002833A (es) 2013-04-05
EP2617013A1 (en) 2013-07-24
US20120069007A1 (en) 2012-03-22
EP2617013A4 (en) 2017-04-12
RU2587425C2 (ru) 2016-06-20
US9305206B2 (en) 2016-04-05
WO2012034174A1 (en) 2012-03-22
CA2812117A1 (en) 2012-03-22
AU2011301774A1 (en) 2013-04-18
RU2013114208A (ru) 2014-10-20

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Legal Events

Date Code Title Description
B06F Objections, documents and/or translations needed after an examination request according [chapter 6.6 patent gazette]
B25A Requested transfer of rights approved

Owner name: HOMEWAV, LLC (US)

B06U Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette]
B11B Dismissal acc. art. 36, par 1 of ipl - no reply within 90 days to fullfil the necessary requirements