IP Library › Granted Patent US 12,614,356
Granted Patent B2
US 12,614,356 · App. 18/136,211 · Granted Apr 28, 2026

Video see-through augmented reality

Inventor: Yingen Xiong (Mountain View, CA)
Assignee: Samsung Electronics Co., Ltd.
G06T19/006G02B27/0172G06T5/80G06T7/593G06T7/80G06T7/85H04N13/111H04N13/117H04N13/239H04N13/246H04N13/257H04N13/327H04N13/344H04N13/383G02B2027/0138G06T2207/10021G06T2207/10024G06T2207/30244H04N2013/0081
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Quick Facts
Patent No.
US 12,614,356
App. No.
18/136,211
Filed
Apr 18, 2023
Granted
Apr 28, 2026
Kind
B2
Examiner
LHYMN, SARAH
Art Unit
2613
USPC
345/419
Abstract

In one embodiment, a method includes capturing, by a calibration camera, a calibration pattern displayed on a display of a video see-through AR system, where the calibration camera is located at an eye position for viewing content on the video see-through AR system. The method further includes determining, based on the captured calibration pattern, one or more system parameters of the video see-through AR system that represent combined distortion caused by a display lens of the video see-through AR system and caused by a camera lens of the see-through camera; determining, based on the one or more system parameters and on one or more camera parameters that represent distortion caused by the see-through camera, one or more display-lens parameters that represent distortion caused by the display lens; and storing the one or more system parameters and the one more display-lens parameters as a calibration for the system.

Claims (39)

1 . A method comprising:

capturing, by a calibration camera that is not part of a video see-through AR system, a calibration pattern displayed on a display of a video see-through AR system comprising (1) a see-through camera that is distinct from the calibration camera (2) the display, configured to display content captured by the see-through camera and (3) a display lens configured to transmit light from the display, wherein:

the calibration camera is located at an eye position for viewing content on the video see-through AR system; and

the displayed calibration pattern corresponds to an image of a calibration pattern captured by a see-through camera of the video see-through AR system;

determining, based on the captured calibration pattern, one or more system parameters of the video see-through AR system that represent combined distortion of the video see-through AR system caused by (1) capturing an image for display by the see-through camera and (2) transmitting the displayed image through the display lens;

determining, based on an image of the calibration pattern captured by the see-through camera, one or more see-through camera parameters that represent distortion caused only by the see-through camera;

determining, based on the one or more system parameters and on the one or more see-through camera parameters that represent the distortion caused only by the see-through camera, one or more display-lens parameters that represent distortion caused only by transmitting the displayed image through the display lens; and

storing the one or more system parameters and the one more display-lens parameters as a calibration for the video see-through AR system.

2 . The method of claim 1 , wherein the video see-through AR system comprises a headset.

3 . The method of claim 1 , wherein:

the see-through camera of the video see-through AR system comprises one of a pair of stereoscopic cameras; and

the display of the video see-through AR system comprises one of a pair of displays.

4 . The method of claim 3 , further comprising performing the method of claim 1 for each display and see-through camera combination.

5 . The method of claim 3 , wherein the pair of stereoscopic cameras comprise one pair of a plurality of pairs of stereoscopic cameras of the video see-through AR system.

6 . The method of claim 1 , further comprising performing the method of claim 1 for each of a plurality of color channels.

7 . The method of claim 1 , wherein the combined distortion comprises one or more of: (1) geometric distortion or (2) chromatic aberration.

8 . The method of claim 1 , wherein the one or more system parameters of the video see-through AR system that represent combined distortion caused by the display lens of the video see-through AR system and caused by a camera lens of the see-through camera comprise a camera matrix for the video see-through camera and the display lens and a distortion model for the display lens and the video see-through camera.

9 . One or more non-transitory computer readable storage media embodying instructions and coupled to one or more processors that are operable to execute the instructions to:

capture, by a calibration camera that is not part of a video see-through AR system, a calibration pattern displayed on a display of a video see-through AR system comprising (1) a see-through camera that is distinct from the calibration camera (2) the display, configured to display content captured by the see-through camera and (3) a display lens configured to transmit light from the display, wherein:

the calibration camera is located at an eye position for viewing content on the video see-through AR system; and

the displayed calibration pattern corresponds to an image of a calibration pattern capture by a see-through camera of the video see-through AR system;

determine, based on the captured calibration pattern, one or more system parameters of the video see-through AR system that represent combined distortion of the video see-through AR system caused by (1) capturing an image for display by the see-through camera and (2) transmitting the displayed image through the display lens;

determine, based on an image of the calibration pattern captured by the see-through camera, one or more see-through camera parameters that represent distortion caused only by the see-through camera determine, based on the one or more system parameters and on the one or more see-through camera parameters that represent the distortion caused only by the see-through camera, one or more display-lens parameters that represent distortion caused only by transmitting the displayed image through the display lens; and

store the one or more system parameters and the one more display-lens parameters as a calibration for the video see-through AR system.

10 . The media of claim 9 , wherein:

the see-through camera of the video see-through AR system comprises one of a pair of stereoscopic cameras; and

the display of the video see-through AR system comprises one of a pair of displays.

11 . A system comprising:

one or more non-transitory computer readable storage media embodying instructions; and

one or more processors coupled to the non-transitory computer readable storage media, the one or more processors being operable to execute the instructions to:

capture, by a calibration camera that is not part of a video see-through AR system, a calibration pattern displayed on a display of a video see-through AR system comprising (1) a see-through camera that is distinct from the calibration camera (2) the display, configured to display content captured by the see-through camera and (3) a display lens configured to transmit light from the display, wherein:

the calibration camera is located at an eye position for viewing content on the video see-through AR system; and

the displayed calibration pattern corresponds to an image of a calibration pattern capture by a see-through camera of the video see-through AR system;

determine, based on the captured calibration pattern, one or more system parameters of the video see-through AR system that represent combined distortion of the video see-through AR system caused by (1) capturing an image for display by the see-through camera and (2) transmitting the displayed image through the display lens;

determine, based on an image of the calibration pattern captured by the see-through camera, one or more see-through camera parameters that represent distortion caused only by the see-through camera determine, based on the one or more system parameters and on the one or more see-through camera parameters that represent the distortion caused only by the see-through camera, one or more display-lens parameters that represent distortion caused only by transmitting the displayed image through the display lens; and

store the one or more system parameters and the one more display-lens parameters as a calibration for the video see-through AR system.

12 . The system of claim 11 , wherein:

the see-through camera of the video see-through AR system comprises one of a pair of stereoscopic cameras; and

the display of the video see-through AR system comprises one of a pair of displays.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 18, 2023
From: XIONG, YINGEN
To: SAMSUNG ELECTRONICS CO., LTD.
Reel/Frame 063366/0742 →
Continuity (4)
Provisional Application 63412616 · Oct 3, 2022
Provisional Application 63396430 · Aug 9, 2022
Provisional Application 63395529 · Aug 5, 2022
Related Publication 20240046576A1 · Feb 8, 2024
References Cited (78)
US 6618076B1 · Sukthankar · 2003 [cited by examiner]
US 6791616B2 · Tamaki · 2004 [cited by examiner]
US 7889234B2 · Williams · 2011 [cited by applicant]
US 9264702B2 · Liu · 2016 [cited by applicant]
US 9630105B2 · Stafford · 2017 [cited by applicant]
US 10198865B2 · Kezele · 2019 [cited by applicant]
US 10445860B2 · Fix · 2019 [cited by applicant]
US 10475196B2 · Price · 2019 [cited by applicant]
US 10552984B2 · Virodov · 2020 [cited by examiner]
US 10928901B2 · Park · 2021 [cited by applicant]
US 11158108B2 · Bleyer · 2021 [cited by applicant]
US 11232593B2 · Yamashita · 2022 [cited by applicant]
US 11233986B1 · Yoon · 2022 [cited by applicant]
US 11321874B2 · Araújo · 2022 [cited by applicant]
US 11348208B2 · Yamazaki · 2022 [cited by applicant]
US 11348281B1 · Tang · 2022 [cited by applicant]
US 11354787B2 · Selstad · 2022 [cited by applicant]
US 11367226B2 · Navab · 2022 [cited by applicant]
US 11386572B2 · Azimi · 2022 [cited by applicant]
US 11900579B2 · Merrell · 2024 [cited by applicant]
US 20080292131A1 · Takemoto · 2008 [cited by examiner]
US 20130194304A1 · Latta · 2013 [cited by applicant]
US 20140300708A1 · Iversen · 2014 [cited by examiner]
US 20160012643A1 · Kezele · 2016 [cited by applicant]
US 20160127718A1 · Hulsey · 2016 [cited by applicant]
US 20170124713A1 · Jurgenson · 2017 [cited by applicant]
US 20180045963A1 · Hoover · 2018 [cited by applicant]
US 20190058870A1 · Rowell · 2019 [cited by applicant]
US 20190080517A1 · You · 2019 [cited by applicant]
US 20190108653A1 · Virodov · 2019 [cited by examiner]
US 20190158813A1 · Rowell · 2019 [cited by examiner]
US 20190287259A1 · Tankovich · 2019 [cited by applicant]
US 20190339369A1 · Fenton · 2019 [cited by examiner]
US 20190387218A1 · Trail · 2019 [cited by applicant]
US 20200143524A1 · Selstad · 2020 [cited by applicant]
US 20200209628A1 · Sztuk · 2020 [cited by examiner]
US 20200241730A1 · DiVerdi · 2020 [cited by applicant]
US 20200342675A1 · Leuze · 2020 [cited by applicant]
US 20210014475A1 · Lee · 2021 [cited by applicant]
US 20210142508A1 · Azimi · 2021 [cited by applicant]
US 20210375000A1 · Burns · 2021 [cited by examiner]
US 20220159196A1 · Lee · 2022 [cited by applicant]
US 20220222842A1 · McCombe · 2022 [cited by applicant]
US 20220354582A1 · Spaas · 2022 [cited by applicant]
US 20230377197A1 · Napolskikh · 2023 [cited by applicant]
CN 102110300A · 2011 [cited by applicant]
CN 111007939A · 2020 [cited by applicant]
EP 3200148A1 · 2017 [cited by applicant]
JP 2000102036A · 2000 [cited by applicant]
KR 100777215B1 · 2007 [cited by applicant]
KR 101222155B1 · 2013 [cited by applicant]
KR 1020160121798A · 2016 [cited by applicant]
KR 20160121798A · 2016 [cited by applicant]
KR 1020170118609A · 2017 [cited by applicant]
KR 1020190027950A · 2019 [cited by applicant]
KR 1020200005999A · 2020 [cited by applicant]
KR 20200098509A · 2020 [cited by applicant]
KR 102185519B1 · 2020 [cited by applicant]
KR 1020210153016A · 2021 [cited by applicant]
WO WO2016037014A1 · 2016 [cited by applicant]
WO WO2016073557A1 · 2016 [cited by applicant]
WO WO2021141887A1 · 2021 [cited by applicant]
WO WO2023049944A2 · 2023 [cited by applicant]
Lee, S., & Hua, H. (2014). A robust camera-based method for optical distortion calibration of head-mounted displays. Journal of Display Technology, 11(10), 845-853. [cited by examiner]
PCT Search Report and Written Opinion in Application No. PCT/KR2023/010306, Oct. 24, 2023. [cited by applicant]
PCT Search Report and Written Opinion in Application No. PCT/KR2023/010310, Oct. 20, 2023. [cited by applicant]
PCT Search Report and Written Opinion in Application No. PCT/KR2023/010298, Oct. 20, 2023. [cited by applicant]
Non-final office action in U.S. Appl. No. 18/136,228, Mar. 7, 2025. [cited by applicant]
Non-final office action in U.S. Appl. No. 18/135,985, Mar. 6, 2025. [cited by applicant]
Extended European Search Report in Application No. 23850299.1-1207 / 4505708 PCT/KR 2023010298, Jun. 17, 2025. [cited by applicant]
Extended European Search Report in Application No. 23850300.7-1207 / 4505707 PCT/KR 2023010306, Jun. 13, 2025. [cited by applicant]
Extended European Search Report in Application No. 23850301.5-1207 / 4505423 PCT/KR 2023010310, May 20, 2025. [cited by applicant]
Final office action in U.S. Appl. No. 18/135,985, Jun. 16, 2025. [cited by applicant]
Final office action in U.S. Appl. No. 18/136,228, Jun. 18, 2025. [cited by applicant]
Non-final office action in U.S. Appl. No. 18/135,985, Nov. 10, 2025. [cited by applicant]
Non-final office action in U.S. Appl. No. 18/136,228, Nov. 24, 2025. [cited by applicant]
Final office action in U.S. Appl. No. 18/135,985, Mar. 2, 2026. [cited by applicant]
Final office action in U.S. Appl. No. 18/136,228, Mar. 19, 2026. [cited by applicant]