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公开(公告)号：US20210127073A1
公开(公告)日：2021-04-29
申请号：US17084305
申请日：2020-10-29
Applicant: 3I Inc.
Inventor： Ken KIM , Ji Wuck JUNG
Abstract: The present inventive concept is a technique related to a system and method for displaying 3D tour comparisons. The method for displaying a 3D tour comparison including setting each reference point for first and second tours that are different from each other, and setting coordinate values for a plurality of image photographing points included in the first and second tours, respectively, in the first tour, setting a first point that is one of the plurality of image photographing points included in the first tour, in the second tour, selecting a second point closest to the coordinate value of the first point out of the plurality of image photographing points included in the second tour, and displaying an image related to the first point on one side of a split-screen, and displaying an image related to the second point on the other side of the split-screen.
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公开(公告)号：US20240221304A1
公开(公告)日：2024-07-04
申请号：US18517583
申请日：2023-11-22
Applicant: 3I INC.
Inventor： Ken KIM , Ji Wuck JUNG , Farkhod Rustam Ugli KHUDAYBERGANOV , Mikhail LI
CPC classification number: G06T17/00 , G06T3/0043 , G06T5/005 , G06V10/56 , G06T2207/10024 , G06T2207/20084 , G06V2201/07
Abstract: A hole-filling method, performable on a computing device, for providing a three-dimensional virtual model according to a technical aspect of the present application may comprises the operations of: acquiring an original training image and a hole creation training image, wherein the hole creation training image is an image in which at least one hole is created based on the original training image; creating a hole-filling training image by performing hole-filling on the hole creation training image using a neural network; performing spherical transformation on each of the hole-filling training image and the original training images; and training the neural network based on the difference between the spherically transformed hole-filling training image and the spherically transformed original training image.
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公开(公告)号：US20230169716A1
公开(公告)日：2023-06-01
申请号：US17878390
申请日：2022-08-01
Applicant: 3I INC.
Inventor： Ken KIM , Ji Wuck JUNG , Farkhod Rustam Ugli KHUDAYBERGANOV , Mikhail LI
CPC classification number: G06T15/04 , G06T17/20 , G06T2200/08
Abstract: A texturing method of generating a three-dimensional (3D) virtual model is provided. The method is performed in a computing device, and includes acquiring an original learning image and a hole generation learning image for the original learning image, the hole generation learning image being an image in which at least one hole is generated based on the original learning image, generating a hole filling learning image by performing hole filling on the hole generation learning image using a neural network, performing spherical transformation on each of the hole filling learning image and the original learning image, and training the neural network based on a difference between the spherically transformed hole filling learning image and the spherically transformed original learning image.
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公开(公告)号：US20230128950A1
公开(公告)日：2023-04-27
申请号：US18145884
申请日：2022-12-23
Applicant: NTT Communications Corporation , 3i, Inc
Inventor： Ken KIM
Abstract: A technique for enabling accurate management of photography positions is provided. According to the first embodiment, a server device SV generates plan view data in which position coordinates of a photography point are plotted and transmits the plan view data to a user terminal MT, each time a photography operation is performed for a photography point. The plot position of the photography spot in the plan view data is corrected in accordance with a plot position correction request made by a user, and the corrected plan view data is stored as photography position management information.
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公开(公告)号：US20220414909A1
公开(公告)日：2022-12-29
申请号：US17878206
申请日：2022-08-01
Applicant: 3I INC.
Inventor： Ken KIM , Ji Wuck JUNG , Farkhod Rustam Ugli KHUDAYBERGANOV , Mikhail LI
IPC: G06T7/55
Abstract: A computing device is provided. The computing device includes a memory configured to store one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, in which the processor may execute the one or more instructions to generate a first predicted depth map image for a learning red/green/blue (RGB) image using a neural network, and train the neural network based on a difference between a learning depth map image having depth information and the first predicted depth map image. The learning depth map image may match 1:1 and may be generated based on the same setting change for a basic spherical image.
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Patent Agency Ranking
公开(公告)号：US20220060640A1
公开(公告)日：2022-02-24
申请号：US17459288
申请日：2021-08-27
Applicant: 3I INC.
Inventor： Ken KIM , Ji Wuck JUNG
Abstract: The described technology is a technique related to a system and method for displaying 3D tour comparisons. The method for displaying a 3D tour comparison including setting each reference point for first and second tours that are different from each other, and setting coordinate values for a plurality of image photographing points included in the first and second tours, respectively, in the first tour, setting a first point that is one of the plurality of image photographing points included in the first tour, in the second tour, selecting a second point closest to the coordinate value of the first point out of the plurality of image photographing points included in the second tour, and displaying an image related to the first point on a part of a split-screen of a split-screen, and displaying an image related to the second point on at least a part of the rest of the split-screen of the split-screen.
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公开(公告)号：US20210392265A1
公开(公告)日：2021-12-16
申请号：US17412769
申请日：2021-08-26
Applicant: 3I INC.
Inventor： Ken KIM , Ji Wuck JUNG
Abstract: The described technology is a technique related to a method for controlling a mobile device cradle and combining images. The method for controlling a mobile device cradle performed in an application of a user device linked with the mobile device cradle, comprises: pairing the mobile device cradle with the user device; starting capturing an image based on an input of a user; extracting a subject from a captured image; calculating a moving speed and a moving direction of the subject extracted; and calculating a rotation speed and a rotation direction of a motor included in the mobile device cradle based on the calculated moving speed and moving direction, and controlling the motor based on the calculated rotation speed and rotation direction.
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18.发明公开公开(公告)号：US20240273848A1
公开(公告)日：2024-08-15
申请号：US18563565
申请日：2022-11-23
Applicant: 3I INC.
Inventor： Ken KIM , Ji Wuck JUNG , Farkhod Rustam Ugli KHUDAYBERGANOV , Mikhail LI
CPC classification number: G06T19/20 , G06T15/04 , G06T17/20 , G06T2210/56 , G06T2219/2012
Abstract: According to a technical aspect of the present application, a texturing method, performable on a computing device, for creating a 3D virtual model based on a plurality of data sets, each of which is created from a plurality of shooting points in an indoor space and includes a color image and a depth image, may comprise: creating a 3D mesh model based on the created plurality of data sets; texturing each of the plurality of faces included in the 3D mesh model based on an association between the face and the color image; identifying a hole face that is displayed as a hole due to the absence of the association; and confirming a plurality of associated vertices associated with the hole face and setting a color of the hole face based on the colors of the confirmed plurality of associated vertices.
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公开(公告)号：US20240221313A1
公开(公告)日：2024-07-04
申请号：US17922054
申请日：2022-07-20
Applicant: 3I INC.
Inventor： Ken KIM , Ji Wuck JUNG , Farkhod Rustam Ugli KHUDAYBERGANOV , Mikhail LI
IPC: G06T17/20 , G06T7/20 , G06T7/70 , H04N23/695
CPC classification number: G06T17/20 , G06T7/20 , G06T7/70 , H04N23/695 , G06T2207/10024 , G06T2207/30201
Abstract: A system for providing a virtual three-dimensional (3D) model according to a technical aspect of the present application includes a user terminal and a server. The user terminal derives relative movement information from a previous capturing point to each of a plurality of capturing points in a real indoor environment to generate location information about the corresponding capturing point and generates a 360-degree color image and a 360-degree depth map image on the basis of the corresponding capturing point to generate a capture dataset of the corresponding capturing point. The server receives a plurality of capture datasets each corresponding to the plurality of capturing points in the real indoor environment from the user terminal, relates a 360-degree color image to a 360-degree depth map image generated at each of the plurality of capturing points in accordance with locations of unit pixels, and sets a distance value and a color value per unit pixel to generate point groups. The point groups are individually generated at the capturing points, and the server forms one integration point group by locationally relating the plurality of point groups individually generated at the plurality of capturing points to each other on the basis of the location information and generates a virtual 3D model on the basis of the integration point group.
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公开(公告)号：US20240005530A1
公开(公告)日：2024-01-04
申请号：US18340318
申请日：2023-06-23
Applicant: 3I INC.
Inventor： Ken KIM , Ji Wuck JUNG
IPC: G06T7/246 , H04N23/63 , H04N23/611
CPC classification number: G06T7/248 , H04N23/632 , H04N23/611 , G06T2207/30244 , G06T2207/20081 , G06T2207/10016
Abstract: According to one technical aspect of the present invention, a locked-on target based object tracking method is a method that is performed in a portable terminal and provides an object tracking function to a recorded video captured for a forward view of the portable terminal. The locked-on target based object tracking method includes setting a tracking object, identifying an object which is existing in a frame image of the recorded video using a first artificial intelligence model and setting the object as a selected object, the object and the tracking object belong to the same, and determining whether the selected object set by the first artificial intelligence model and the tracking object belong to the same object using a second artificial intelligence model trained in a different way from the first artificial intelligence model.
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