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Extract from the Register of European Patents

EP About this file: EP4154195

EP4154195 - SYSTEM AND METHOD OF AUGMENTING A THREE-DIMENSIONAL OBJECTS TRAINING DATASET [Right-click to bookmark this link]
StatusRequest for examination was made
Status updated on  24.02.2023
Database last updated on 17.07.2024
FormerThe international publication has been made
Status updated on  26.11.2021
Most recent event   Tooltip20.05.2024New entry: Renewal fee paid 
Applicant(s)For all designated states
Applications Mobiles Overview Inc.
3737 rue Notre-Dame Ouest, Suite 301
Montréal, Québec H4C 1P8 / CA
[2023/13]
Inventor(s)01 / JUPPE, Laurent
Montreal, Québec H4C 1P8 / CA
02 / ABUELWAFA, Sherif Esmat Omar
Montreal, Québec H4C 1P8 / CA
03 / MARTIN, Bryan Allen
Montreal, Québec H4C 1P8 / CA
 [2023/13]
Representative(s)BCF Global
Centre d'Entreprise et d'Innovation
56, Bd Niels Bohr
CS 52132
69603 Villeurbanne Cedex / FR
[2023/13]
Application number, filing date21808873.020.05.2021
[2023/13]
WO2021IB54374
Priority number, dateUS202063027875P20.05.2020         Original published format: US 202063027875 P
US20211732247117.05.2021         Original published format: US202117322471
[2023/13]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2021234624
Date:25.11.2021
Language:EN
[2021/47]
Type: A1 Application with search report 
No.:EP4154195
Date:29.03.2023
Language:EN
The application published by WIPO in one of the EPO official languages on 25.11.2021 takes the place of the publication of the European patent application.
[2023/13]
Search report(s)International search report - published on:CA25.11.2021
(Supplementary) European search report - dispatched on:EP11.04.2024
ClassificationIPC:G06V10/774, G06V20/64, G06N20/00, G06T19/20
[2024/20]
CPC:
G06V20/64 (EP,US); G06F18/214 (US); G06N20/00 (US);
G06N3/04 (US); G06N3/045 (EP); G06N3/047 (EP);
G06N3/088 (EP); G06T19/006 (US); G06T19/20 (EP,US);
G06T5/50 (US); G06T5/73 (US); G06V10/774 (EP,US);
G06T2207/10028 (US); G06T2210/56 (EP); G06T2219/2016 (EP,US) (-)
Former IPC [2023/13]G06N20/00, G06T19/20
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2023/13]
TitleGerman:SYSTEM UND VERFAHREN ZUR ERWEITERUNG EINES TRAININGSDATENSATZES FÜR DREIDIMENSIONALE OBJEKTE[2023/13]
English:SYSTEM AND METHOD OF AUGMENTING A THREE-DIMENSIONAL OBJECTS TRAINING DATASET[2023/13]
French:SYSTÈME ET PROCÉDÉ D'AUGMENTATION D'UN ENSEMBLE DE DONNÉES D'APPRENTISSAGE D'OBJETS TRIDIMENSIONNELS[2023/13]
Entry into regional phase13.12.2022National basic fee paid 
13.12.2022Search fee paid 
13.12.2022Designation fee(s) paid 
13.12.2022Examination fee paid 
Examination procedure13.12.2022Amendment by applicant (claims and/or description)
13.12.2022Examination requested  [2023/13]
Fees paidRenewal fee
13.12.2022Renewal fee patent year 03
17.05.2024Renewal fee patent year 04
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Cited inInternational search[Y]US2019108639  (TCHAPMI LYNE P [US], et al) [Y] 2,6 *whole document, in particular: - paragraphs [0005], [0024]-[0025], [0040], [0079]; - claim 20; - fig. 13 *;
 [A]US2019122378  (ASWIN BUDDY [US]) [A] 0 * . *whole document*;
 [A]US10529137  (BLACK MICHAEL [DE], et al) [A] 0* . *whole document*;
 [A]US2020043186  (SELVIAH DAVID R [GB], et al) [A] 0 * . *whole document*;
 [Y]US2020110994  (GOTO TAKUYA [JP], et al) [Y] 17-20 *whole document, in particular: - paragraphs [0027]-[0035] - claim 1; - figs. 2-3 *;
 [XY]  - Charles R. Qi , Hao Su , Kaichun Mo ,Leonidas J. Guibas, "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation", (20170410), pages 1 - 19, arxiv, URL: https://arxiv.org/abs/1612.00593, (20210817), XP055874762 [X] 1, 3-4, 7-12, 14-16, 21, 24-25 * . *whole document, in particular: - Abstract, Introduction, Sections 1-5, Supplementary B, C* [Y] 2, 5-6, 13, 17-20, 22-23
 [Y]  - Prasun Roy , Subhankar Ghosh , Saumik Bhattacharya, Umapada Pal, "Effects of Degradations on Deep Neural Network Architectures", (20190626), pages 1 - 11, arXiv, URL: https://arxiv.org/abs/1807.10108, (20210824), XP055874765 [Y] 5-6 * . *whole document, in particular: - Sections I, II; - figs. 3-7 *
 [A]  - Samuel Dodge , Lina Karam, "Understanding How Image Quality Affects Deep Neural Networks", (20160421), pages 1 - 6, arXiv, URL: https://arxiv.org/abs/1604.04004, (20210825), XP055874768 [A] 0 * . *whole document*
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.