IN2015DN03752A - - Google Patents

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Publication number
IN2015DN03752A
IN2015DN03752A IN3752DEN2015A IN2015DN03752A IN 2015DN03752 A IN2015DN03752 A IN 2015DN03752A IN 3752DEN2015 A IN3752DEN2015 A IN 3752DEN2015A IN 2015DN03752 A IN2015DN03752 A IN 2015DN03752A
Authority
IN
India
Prior art keywords
depth
image
area
depth values
estimated
Prior art date
Application number
Inventor
Julien Michot
Ivana Girdzijauskas
Original Assignee
Ericsson Telefon Ab L M
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 Ericsson Telefon Ab L M filed Critical Ericsson Telefon Ab L M
Publication of IN2015DN03752A publication Critical patent/IN2015DN03752A/en

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Classifications

    • 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
    • H04N13/122—Improving the 3D impression of stereoscopic images by modifying image signal contents, e.g. by filtering or adding monoscopic depth cues
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/77—Retouching; Inpainting; Scratch removal
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • G06T7/529—Depth or shape recovery from texture
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • 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
    • H04N13/111—Transformation of image signals corresponding to virtual viewpoints, e.g. spatial image interpolation
    • 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 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
    • G06T2207/20228—Disparity calculation for image-based rendering

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
  • Image Generation (AREA)

Abstract

A method an electronic device a computer program and a computer program product relate to 3D image reconstruction. A depth image part (7) of a 3D image representation is acquired. The depth image part represents depth values of the 3D image. An area (9 10) in the depth image part is determined. The area represents missing depth values in the depth image part. At least one first line (Pr) in a first neighbourhood (Nr) of the area is estimated by a first gradient of the depth values being determined in the first neighbourhood and a direction of the at least one first line being determined in accordance with the first gradient. Depth values of the area based on the at least one first line are estimated and the area is filled with the estimated depth values. The 3D image is thereby reconstructed.
IN3752DEN2015 2012-11-12 2012-11-12 IN2015DN03752A (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/SE2012/051230 WO2014074039A1 (en) 2012-11-12 2012-11-12 Processing of depth images

Publications (1)

Publication Number Publication Date
IN2015DN03752A true IN2015DN03752A (en) 2015-10-02

Family

ID=50684987

Family Applications (1)

Application Number Title Priority Date Filing Date
IN3752DEN2015 IN2015DN03752A (en) 2012-11-12 2012-11-12

Country Status (4)

Country Link
US (1) US20150294473A1 (en)
EP (1) EP2917893A4 (en)
IN (1) IN2015DN03752A (en)
WO (1) WO2014074039A1 (en)

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Publication number Priority date Publication date Assignee Title
US9654761B1 (en) * 2013-03-15 2017-05-16 Google Inc. Computer vision algorithm for capturing and refocusing imagery
US10055892B2 (en) * 2014-11-16 2018-08-21 Eonite Perception Inc. Active region determination for head mounted displays
US10097808B2 (en) * 2015-02-09 2018-10-09 Samsung Electronics Co., Ltd. Image matching apparatus and method thereof
GB2537831A (en) * 2015-04-24 2016-11-02 Univ Oxford Innovation Ltd Method of generating a 3D representation of an environment and related apparatus
EP3185208A1 (en) * 2015-12-22 2017-06-28 Thomson Licensing Method for determining missing values in a depth map, corresponding device, computer program product and non-transitory computer-readable carrier medium
US20170186223A1 (en) * 2015-12-23 2017-06-29 Intel Corporation Detection of shadow regions in image depth data caused by multiple image sensors
DE102016200660A1 (en) * 2015-12-23 2017-06-29 Robert Bosch Gmbh Method of creating a depth map by means of a camera
US10372968B2 (en) 2016-01-22 2019-08-06 Qualcomm Incorporated Object-focused active three-dimensional reconstruction
US9967539B2 (en) 2016-06-03 2018-05-08 Samsung Electronics Co., Ltd. Timestamp error correction with double readout for the 3D camera with epipolar line laser point scanning
US11017712B2 (en) 2016-08-12 2021-05-25 Intel Corporation Optimized display image rendering
JP6880950B2 (en) * 2017-04-05 2021-06-02 村田機械株式会社 Depression detection device, transfer device, and recess detection method
EP3467789A1 (en) * 2017-10-06 2019-04-10 Thomson Licensing A method and apparatus for reconstructing a point cloud representing a 3d object
US10628920B2 (en) * 2018-03-12 2020-04-21 Ford Global Technologies, Llc Generating a super-resolution depth-map
CN110009655B (en) * 2019-02-12 2020-12-08 中国人民解放军陆军工程大学 Generation and use of eight-direction 3D operator for contour enhancement of stereoscopic images
US11257283B2 (en) * 2019-03-07 2022-02-22 Alibaba Group Holding Limited Image reconstruction method, system, device and computer-readable storage medium
CN111260544B (en) * 2020-01-20 2023-11-03 浙江商汤科技开发有限公司 Data processing method and device, electronic equipment and computer storage medium
EP4472192A1 (en) * 2023-06-02 2024-12-04 Apple Inc. Method and device for refining a depth map
CN118011421B (en) * 2024-04-10 2024-08-09 中国科学院西安光学精密机械研究所 Theodolite image automatic focusing method and system based on laser radar depth estimation

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2921504B1 (en) * 2007-09-21 2010-02-12 Canon Kk SPACE INTERPOLATION METHOD AND DEVICE
CN102239506B (en) * 2008-10-02 2014-07-09 弗兰霍菲尔运输应用研究公司 Intermediate view synthesis and multi-view data signal extraction
EP2180449A1 (en) * 2008-10-21 2010-04-28 Koninklijke Philips Electronics N.V. Method and device for providing a layered depth model of a scene
US20100302365A1 (en) * 2009-05-29 2010-12-02 Microsoft Corporation Depth Image Noise Reduction
US8643701B2 (en) * 2009-11-18 2014-02-04 University Of Illinois At Urbana-Champaign System for executing 3D propagation for depth image-based rendering

Also Published As

Publication number Publication date
EP2917893A1 (en) 2015-09-16
WO2014074039A1 (en) 2014-05-15
US20150294473A1 (en) 2015-10-15
EP2917893A4 (en) 2015-11-25

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