公开(公告)号：US11769293B2

公开(公告)日：2023-09-26

申请号：US17992915

申请日：2022-11-22

Applicant: VIRNECT inc.

Inventor： Ki Young Kim ,  Benjamin Holler

IPC: G06T15/20 ,  G06T19/00 ,  G06T7/20 ,  G06T7/70

CPC classification number: G06T15/20 ,  G06T7/20 ,  G06T7/70 ,  G06T19/006 ,  G06T2207/30241 ,  G06T2207/30244 ,  G06T2215/16

Abstract: A camera motion estimation method for an augmented reality tracking algorithm according to an embodiment is a camera motion estimation method for an augmented reality tracking algorithm performed by a sequence production application executed by a processor of a computing device, which includes a step of displaying a target object on a sequence production interface, a step of setting a virtual camera trajectory on the displayed target object, a step of generating an image sequence by rendering images obtained when the target object is viewed along the set virtual camera trajectory, and a step of reproducing the generated image sequence.

公开(公告)号：US11688094B1

公开(公告)日：2023-06-27

申请号：US18148038

申请日：2022-12-29

Applicant: VIRNECT inc.

Inventor： Ki Young Kim ,  Noh Young Park

IPC: G06T7/70 ,  G06T17/05 ,  G06V10/44 ,  G06V10/74 ,  G06T7/11

CPC classification number: G06T7/70 ,  G06T7/11 ,  G06T17/05 ,  G06V10/44 ,  G06V10/761 ,  G06V2201/07

Abstract: A method of tracking a map target according to one embodiment of the present disclosure, which tracks the map target through a map target tracking application executed by at least one processor of a terminal, includes: acquiring a basic image obtained by photographing a 3D space; acquiring a plurality of sub-images obtained by dividing the acquired basic image for respective sub-spaces in the 3D space; creating a plurality of sub-maps based on the plurality of acquired sub-images; determining at least one main key frame for each of the plurality of created sub-maps; creating a 3D main map by combining the plurality of sub-maps for which the at least one main key frame is determined; and tracking current posture information in the 3D space based on the created 3D main map.

公开(公告)号：US11315283B1

公开(公告)日：2022-04-26

申请号：US17553502

申请日：2021-12-16

Applicant: VIRNECT inc.

Inventor： Ki Young Kim ,  Yeon Jo Kim ,  Noh Young Park

IPC: G06V10/40 ,  G06T7/73 ,  G06T19/00 ,  G06T7/246

Abstract: A system for object detection and posture estimation based on an object-customized image feature detection algorithm according to an embodiment of the present disclosure comprises at least one or more processors; and at least one or more memories, wherein at least one application, as an application that is stored in the memory and performs object detection and posture estimation based on an object-customized image feature detection algorithm by being executed by the at least one or more processors, learns a goal object based on a plurality of image feature detection algorithms, generates an algorithm list that includes evaluation of the plurality of image feature detection algorithms for detecting the learned goal object, detects a target object corresponding to the goal object among at least one or more candidate objects within an input image based on the generated algorithm list, and performs a posture estimation process for the detected target object based on the generated algorithm list.

公开(公告)号：US20230206573A1

公开(公告)日：2023-06-29

申请号：US18146805

申请日：2022-12-27

Applicant: VIRNECT inc.

Inventor： Ki Young Kim ,  Thorsten Korpitsch

IPC: G06T19/00 ,  G06V10/764

CPC classification number: G06T19/006 ,  G06V10/764 ,  G06V2201/07

Abstract: A method of learning a target object by detecting an edge from a digital model of the target object and setting a sample point according to one embodiment of the present disclosure, which is performed by a computer-aided design program of an authoring computing device, includes: displaying a digital model of a target object that is a target of image recognition; detecting edges on the digital model of the target object; classifying the detected edges according to a plurality of characteristics; obtaining sample point information on the detected edges; and generating object recognition library data for recognizing a real object implementing the digital model of the target object based on the detected edges, characteristic information of the detected edges, and the sample point information.

公开(公告)号：US12223603B2

公开(公告)日：2025-02-11

申请号：US17991791

申请日：2022-11-21

Applicant: VIRNECT inc.

Inventor： Ki Young Kim ,  Thorsten Korpitsch

IPC: G06T19/00 ,  G06N3/08 ,  G06T15/20 ,  G06T19/20 ,  G06V10/74 ,  G06V20/20

Abstract: Provided is a method of learning a target object implemented on a computer-aided design program of an authoring computing device using a virtual viewpoint camera, including displaying a digital model of a target object that is a target for image recognition, setting at least one observation area surrounding the digital model of the target object and having a plurality of viewpoints on the digital model, generating a plurality of pieces of image data obtained by viewing the digital model of the target object at the plurality of viewpoints of the at least one observation area, and generating object recognition library data for recognizing a real object implementing the digital model of the target object based on the generated plurality of pieces of image data.

公开(公告)号：US20230215040A1

公开(公告)日：2023-07-06

申请号：US18147958

申请日：2022-12-29

Applicant: VIRNECT inc.

Inventor： Ki Young Kim ,  Thorsten Korpitsch

IPC: G06T7/73 ,  G06T7/50 ,  G06T7/13 ,  G06T7/20 ,  G06T19/00

CPC classification number: G06T7/74 ,  G06T7/50 ,  G06T7/13 ,  G06T7/20 ,  G06T19/006 ,  G06T2207/20182 ,  G06T2210/12 ,  G06T2207/30244

Abstract: A method of tracking a CAD model in real time based on a particle filter according to one embodiment of the present disclosure is a method of detecting and tracking a real object based on target object recognition data for a digital model designed on CAD executed by a CAD object tracking detection program installed in a user computing device. The method includes: acquiring an image captured by photographing a surrounding object; detecting a real object corresponding to a shape of a target object designed in CAD from a first frame image of the captured image; and tracking the detected real object in a second frame image of the captured image, wherein the tracking of the detected real object includes determining a new pose of the real object in the second frame image based on the particle filter with respect to an initial pose of the detected real object.