IT201700033593A1 - Metodo di generazione di un modello 3D basato su elaborazione Structure from Motion e stereo fotometrico di immagini 2D sparse - Google Patents

Metodo di generazione di un modello 3D basato su elaborazione Structure from Motion e stereo fotometrico di immagini 2D sparse

Info

Publication number
IT201700033593A1
IT201700033593A1 IT102017000033593A IT201700033593A IT201700033593A1 IT 201700033593 A1 IT201700033593 A1 IT 201700033593A1 IT 102017000033593 A IT102017000033593 A IT 102017000033593A IT 201700033593 A IT201700033593 A IT 201700033593A IT 201700033593 A1 IT201700033593 A1 IT 201700033593A1
Authority
IT
Italy
Prior art keywords
scattered
images
motion
generating
model based
Prior art date
Application number
IT102017000033593A
Other languages
English (en)
Inventor
Yash Singh
Luca Magri
Roberto Toldo
Simone Fantoni
Original Assignee
3Dflow Srl
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 3Dflow Srl filed Critical 3Dflow Srl
Priority to IT102017000033593A priority Critical patent/IT201700033593A1/it
Priority to EP18163990.7A priority patent/EP3382645B1/en
Publication of IT201700033593A1 publication Critical patent/IT201700033593A1/it

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
    • G06T7/55—Depth or shape recovery from multiple images
    • G06T7/586—Depth or shape recovery from multiple images from multiple light sources, e.g. photometric stereo
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G06T2200/04—Indexing scheme for image data processing or generation, in general involving 3D image data
    • 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
    • G06T2207/10016—Video; Image sequence
    • 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
    • G06T2207/10141—Special mode during image acquisition
    • G06T2207/10152—Varying illumination

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Image Analysis (AREA)
IT102017000033593A 2017-03-27 2017-03-27 Metodo di generazione di un modello 3D basato su elaborazione Structure from Motion e stereo fotometrico di immagini 2D sparse IT201700033593A1 (it)

Priority Applications (2)

Application Number Priority Date Filing Date Title
IT102017000033593A IT201700033593A1 (it) 2017-03-27 2017-03-27 Metodo di generazione di un modello 3D basato su elaborazione Structure from Motion e stereo fotometrico di immagini 2D sparse
EP18163990.7A EP3382645B1 (en) 2017-03-27 2018-03-26 Method for generation of a 3d model based on structure from motion and photometric stereo of 2d sparse images

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IT102017000033593A IT201700033593A1 (it) 2017-03-27 2017-03-27 Metodo di generazione di un modello 3D basato su elaborazione Structure from Motion e stereo fotometrico di immagini 2D sparse

Publications (1)

Publication Number Publication Date
IT201700033593A1 true IT201700033593A1 (it) 2018-09-27

Family

ID=59683723

Family Applications (1)

Application Number Title Priority Date Filing Date
IT102017000033593A IT201700033593A1 (it) 2017-03-27 2017-03-27 Metodo di generazione di un modello 3D basato su elaborazione Structure from Motion e stereo fotometrico di immagini 2D sparse

Country Status (2)

Country Link
EP (1) EP3382645B1 (it)
IT (1) IT201700033593A1 (it)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020155159A1 (zh) * 2019-02-02 2020-08-06 深圳市大疆创新科技有限公司 增加点云采样密度的方法、点云扫描系统、可读存储介质
US10929995B2 (en) * 2019-06-24 2021-02-23 Great Wall Motor Company Limited Method and apparatus for predicting depth completion error-map for high-confidence dense point-cloud
CN111556255B (zh) * 2020-04-30 2021-10-01 华为技术有限公司 图像生成方法及装置
CN111882655B (zh) * 2020-06-19 2023-07-18 杭州易现先进科技有限公司 三维重建的方法、装置、系统、计算机设备和存储介质
US11823327B2 (en) 2020-11-19 2023-11-21 Samsung Electronics Co., Ltd. Method for rendering relighted 3D portrait of person and computing device for the same
CN113096174A (zh) * 2021-03-24 2021-07-09 苏州中科广视文化科技有限公司 一种基于多平面扫描的端到端网络的多视点场景重建方法
CN116330667B (zh) * 2023-03-28 2023-10-24 云阳县优多科技有限公司 一种玩具的3d打印模型设计方法及系统
CN117058218B (zh) * 2023-07-13 2024-06-07 湖南工商大学 基于图像-深度的盘式造球颗粒粉末填充率在线测量方法

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
DIEGO NEHAB ET AL: "Efficiently combining positions and normals for precise 3D geometry", ACM TRANSACTIONS ON GRAPHICS (TOG), 1 July 2005 (2005-07-01), New York, pages 536 - 543, XP055318464, Retrieved from the Internet <URL:http://delivery.acm.org/10.1145/1080000/1073226/p536-nehab.pdf?ip=145.64.254.247&id=1073226&acc=ACTIVE%20SERVICE&key=E80E9EB78FFDF9DF.4D4702B0C3E38B35.4D4702B0C3E38B35.4D4702B0C3E38B35&CFID=996234114&CFTOKEN=41462611&__acm__=1508335429_4be70e4c65e86ca2f6e9db6415633ec3> [retrieved on 20171010], DOI: 10.1145/1073204.1073226 *
E NORTHCOLEMAN ET AL: "Obtaining 3-Dimensional Shape of Textured and Specular Surfaces Using Four-Source Photometry'", COMPUTER GRAPHICS AND IMAGE PROCESSING, 1 January 1982 (1982-01-01), pages 309 - 328, XP055416729, Retrieved from the Internet <URL:https://ac.els-cdn.com/0146664X82900016/1-s2.0-0146664X82900016-main.pdf?_tid=40bf7236-b3e7-11e7-a61e-00000aacb361&acdnat=1508319326_85fb460b7bdc578b141fbec946d1021f> [retrieved on 20171018] *
MICHAEL WEINMANN ET AL: "Advances in geometry and reflectance acquisition (course notes)", 20151102; 20151102 - 20151106, 2 November 2015 (2015-11-02), pages 1 - 71, XP058075388, ISBN: 978-1-4503-3924-7, DOI: 10.1145/2818143.2818165 *
PARK JAESIK ET AL: "Multiview Photometric Stereo Using Planar Mesh Parameterization", 2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, IEEE, 1 December 2013 (2013-12-01), pages 1161 - 1168, XP032572744, ISSN: 1550-5499, [retrieved on 20140228], DOI: 10.1109/ICCV.2013.148 *
R. TOLDO ET AL: "ACCURATE MULTIVIEW STEREO RECONSTRUCTION WITH FAST VISIBILITY INTEGRATION AND TIGHT DISPARITY BOUNDING", THE INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, 1 February 2013 (2013-02-01), pages 243 - 249, XP055414267, Retrieved from the Internet <URL:https://pdfs.semanticscholar.org/e797/94c9484c7ab903bfe11cc862d697b3609b3d.pdf> [retrieved on 20171010], DOI: 10.5194/isprsarchives-XL-5-W1-243-2013 *
TAI-PANG WU ET AL: "Dense Photometric Stereo: A Markov Random Field Approach", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, IEEE COMPUTER SOCIETY, USA, vol. 27, no. 11, 1 November 2006 (2006-11-01), pages 1830 - 1846, XP011149299, ISSN: 0162-8828, DOI: 10.1109/TPAMI.2006.224 *

Also Published As

Publication number Publication date
EP3382645A3 (en) 2018-12-19
EP3382645A2 (en) 2018-10-03
EP3382645B1 (en) 2020-10-14

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