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Extract from the Register of European Patents

EP About this file: EP3882810

EP3882810 - COMPUTER IMPLEMENTED METHODS AND DEVICES FOR DETERMINING DIMENSIONS AND DISTANCES OF HEAD FEATURES [Right-click to bookmark this link]
StatusNo opposition filed within time limit
Status updated on  12.04.2024
Database last updated on 05.10.2024
FormerThe patent has been granted
Status updated on  05.05.2023
FormerGrant of patent is intended
Status updated on  10.11.2022
FormerRequest for examination was made
Status updated on  25.03.2022
FormerThe application has been published
Status updated on  20.08.2021
Most recent event   Tooltip12.04.2024No opposition filed within time limitpublished on 15.05.2024  [2024/20]
Applicant(s)For all designated states
Carl Zeiss Vision International GmbH
Turnstrasse 27
73430 Aalen / DE
[2023/03]
Former [2021/38]For all designated states
Carl Zeiss AG
Carl-Zeiss-Strasse 22
73447 Oberkochen / DE
Inventor(s)01 / HOYLE, Ben
Soldauer Str. 5
81927 Munich / DE
 [2021/38]
Representative(s)Kraus & Lederer PartGmbB
Thomas-Wimmer-Ring 15
80539 München / DE
[N/P]
Former [2021/38]Sticht, Andreas
Kraus & Weisert
Patentanwälte PartGmbB
Thomas-Wimmer-Ring 15
80539 München / DE
Application number, filing date20163342.716.03.2020
[2021/38]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3882810
Date:22.09.2021
Language:EN
[2021/38]
Type: B1 Patent specification 
No.:EP3882810
Date:07.06.2023
Language:EN
[2023/23]
Search report(s)(Supplementary) European search report - dispatched on:EP07.09.2020
ClassificationIPC:G06V20/64, G06V40/16
[2022/46]
CPC:
G06V20/64 (EP); G06V40/171 (EP,KR); G06T7/70 (US);
A61B3/11 (US); A61B5/107 (US); A61B5/1079 (US);
G06T7/50 (US); G06T7/60 (US); G06T7/62 (KR);
G06V10/84 (KR); G06V40/165 (US); G06V40/168 (US);
G06T2207/20076 (US); G06T2207/30196 (US); G06T2207/30201 (KR,US);
G06V2201/12 (US); G06V40/179 (EP) (-)
Former IPC [2021/38]G06K9/00
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 [2022/17]  
Former [2021/38]AL,  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 
TitleGerman:COMPUTERIMPLEMENTIERTE VERFAHREN UND VORRICHTUNGEN ZUR BESTIMMUNG VON ABMESSUNGEN UND ABSTÄNDEN VON KOPFMERKMALEN[2021/38]
English:COMPUTER IMPLEMENTED METHODS AND DEVICES FOR DETERMINING DIMENSIONS AND DISTANCES OF HEAD FEATURES[2021/38]
French:PROCÉDÉS MIS EN OEUVRE PAR ORDINATEUR ET DISPOSITIFS PERMETTANT DE DÉTERMINER DES DIMENSIONS ET DES DISTANCES DE CARACTÉRISTIQUES DE TÊTE[2021/38]
Examination procedure22.03.2022Amendment by applicant (claims and/or description)
22.03.2022Examination requested  [2022/17]
22.03.2022Date on which the examining division has become responsible
11.11.2022Communication of intention to grant the patent
08.03.2023Fee for grant paid
08.03.2023Fee for publishing/printing paid
08.03.2023Receipt of the translation of the claim(s)
Opposition(s)08.03.2024No opposition filed within time limit [2024/20]
Fees paidRenewal fee
25.03.2022Renewal fee patent year 03
23.03.2023Renewal fee patent year 04
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See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition  TooltipCZ07.06.2023
HR07.06.2023
PL07.06.2023
RO07.06.2023
RS07.06.2023
SK07.06.2023
SM07.06.2023
NO07.09.2023
GR08.09.2023
IS07.10.2023
[2024/10]
Former [2024/08]HR07.06.2023
RS07.06.2023
SK07.06.2023
SM07.06.2023
NO07.09.2023
GR08.09.2023
Former [2023/51]HR07.06.2023
RS07.06.2023
NO07.09.2023
GR08.09.2023
Former [2023/50]NO07.09.2023
GR08.09.2023
Former [2023/48]NO07.09.2023
Documents cited:Search[A]  - KUMAR M S SHASHI ET AL, "Face distance estimation from a monocular camera", 2013 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, IEEE, (20130915), doi:10.1109/ICIP.2013.6738729, pages 3532 - 3536, XP032966333 [A] 1-15 * sections 2 and 3 *

DOI:   http://dx.doi.org/10.1109/ICIP.2013.6738729
 [A]  - SAI KRISHNA PATHI ET AL, "A Novel Method for Estimating Distances from a Robot to Humans Using Egocentric RGB Camera", SENSORS, (20190717), vol. 19, no. 14, doi:10.3390/s19143142, pages 1 - 13, XP055725398 [A] 1-15 * sections 3-5 *

DOI:   http://dx.doi.org/10.3390/s19143142
 [A]  - BIANCO SIMONE ET AL, "A unifying representation for pixel-precise distance estimation", MULTIMEDIA TOOLS AND APPLICATIONS, KLUWER ACADEMIC PUBLISHERS, BOSTON, US, vol. 78, no. 10, doi:10.1007/S11042-018-6568-2, ISSN 1380-7501, (20180824), pages 13767 - 13786, (20180824), XP036807892 [A] 1-15 * sections 2-5 *

DOI:   http://dx.doi.org/10.1007/s11042-018-6568-2
by applicantUS6262738
 US6535233
 US6995762
 US2010220285
 US9265414
 WO2018002332
 JP6392756B
    - NA DODGSON, "Variation and extrema of human interpupillary distance", Stereoscopic Displays and Virtual Reality Systems XI, (20020000), vol. 5291, doi:10.1117/12.529999, pages 36 - 46, XP055454541

DOI:   http://dx.doi.org/10.1117/12.529999
    - ADRIAN ROSEBROCKG. BRADSKI, "Facial Landmarks with Dlib, OpenCV and Python", The OpenCV Library'', Dr. Dobb's Journal of Software Tools, (20000000), URL: www.pyimageresearch.com
    - D.E. KING, "Dlib-ml: A Machine Learning Toolkit", Journal of Machine Learning Research
    - "Monte Carlo sampling methods using Markov chains and their applications", W. HASTINGS, Biometrika, vol. 57, pages 97 - 109
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.