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1.
公开(公告)号:US20240362934A1
公开(公告)日:2024-10-31
申请号:US18769707
申请日:2024-07-11
发明人: Debiao ZENG , Wenping MOU , Xin GAO , Pengcheng WANG , Jianguo SHU , Binli WANG , Guobo ZHAO
IPC分类号: G06V20/64 , G06T19/00 , G06V10/44 , G06V10/764 , G06V10/77 , G06V10/774
CPC分类号: G06V20/647 , G06T19/00 , G06V10/457 , G06V10/764 , G06V10/7715 , G06V10/774 , G06T2210/21 , G06T2219/004
摘要: A part machining feature recognition method based on machine vision learning recognition comprises sample training and part machining feature recognition. The sample training specifically refers to obtaining the 2D images of different 3D models of parts at different angles, marking machining feature information, constructing a 2D image sample, and then performing feature recognition training on the image recognition model using the 2D image samples; the part machining feature recognition specifically refers to taking 2D image screenshots from multiple view angles, recognizing all machining features from 2D image screenshots using the trained image recognition model, mapping the recognized machining features to the 3D model of parts with machining features to be recognized based on the view angle relationship, marking the machining features and geometric surfaces contained in each feature, and completing the automatic recognition of part machining features.
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2.
公开(公告)号:US20240362933A1
公开(公告)日:2024-10-31
申请号:US18687961
申请日:2022-08-29
申请人: TRUEMED OY
发明人: Tuomas KANNAS , Ville RAITIO , Oskari HEIKEL , Olli PALOHEIMO , Jyrki BERG , Nicola PICCININI , Hemmo LATVALA , Amir NAZARBEIGI
IPC分类号: G06V20/64 , G06T3/4038 , G06T7/246 , G06T7/33 , G06V10/10 , G06V10/12 , G06V10/24 , G06V10/44 , G06V10/46 , G06V10/75 , G06V10/82
CPC分类号: G06V20/647 , G06T3/4038 , G06T7/246 , G06T7/337 , G06V10/12 , G06V10/16 , G06V10/24 , G06V10/44 , G06V10/46 , G06V10/757 , G06V10/82
摘要: A method, mobile user device and system for identifying authenticity of a cylindrical object from photographic images. The method includes acquiring two or more photographic images of the cylindrical object from different angles around the cylinder axis (A) with an imaging device, generating a target image from the two or more photographic images by image stitching, analysing the target image in relation to a reference image representing an original cylindrical object and generating an identification output based on the analysing, and generating an authenticity identification indication based on the identification output.
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公开(公告)号:US12131491B2
公开(公告)日:2024-10-29
申请号:US17609717
申请日:2019-05-10
发明人: Go Irie , Takahito Kawanishi , Kunio Kashino
CPC分类号: G06T7/55 , G06V20/647 , G06T2207/20081 , G06T2207/20084
摘要: An acquiring unit of a depth estimation apparatus acquires an input image. In addition, a depth map generating unit inputs the input image acquired by the acquiring unit into a depth estimator for generating, from an image, a depth map in which a depth of a space that appears on the image is imparted to each pixel of the image, and generates an estimated depth map that represents a depth map corresponding to the input image. The depth estimator is a model having been learned in advance so as to reduce, with respect to each error between a depth of the estimated depth map and a depth of a correct-answer depth map that presents the depth map of a correct answer, a value of a loss function set such that a degree of increase of a loss value with respect to a pixel at which the error is larger than a threshold is smaller than a degree of increase of a loss value with respect to a pixel at which the error is equal to or smaller than the threshold.
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公开(公告)号:US20240346690A1
公开(公告)日:2024-10-17
申请号:US18626886
申请日:2024-04-04
发明人: Heiko Bauer , Changyu Du
CPC分类号: G06T7/75 , G01S17/42 , G06T17/00 , G06V10/46 , G06V10/50 , G06V10/751 , G06V20/647 , G06T2210/12 , G06T2210/21 , G06T2210/22 , G06T2210/56
摘要: Examples described herein provide a method for generating a three-dimensional (3D) model of an object of interest using panoramic images of an environment. The method includes detecting, using a trained machine learning model, the object of interest in a panoramic image of the environment. The method further includes determining 3D coordinates for the object of interest. The method further includes combining the 3D coordinates for the object of interest with an existing 3D model of the object of interest to create a revised 3D model of the object of interest.
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公开(公告)号:US12117843B2
公开(公告)日:2024-10-15
申请号:US18144584
申请日:2023-05-08
发明人: Jae Jun Ha , Young Jun Moon
IPC分类号: G05D1/00 , G05D1/247 , G05D1/249 , G05D1/65 , G06F18/214 , G06V10/82 , G06V20/10 , G06V20/56 , G06V20/58 , G06V20/64
CPC分类号: G05D1/0234 , G05D1/0223 , G05D1/0246 , G05D1/0276 , G05D1/247 , G05D1/249 , G05D1/65 , G06V10/82 , G06V20/10 , G06V20/58 , G06V20/588 , G06V20/647 , G06F18/2148
摘要: An autonomous driving shuttle includes a camera unit configured to acquire an image and a processor configured to control the camera unit. The processor is configured to identify information on an operation of the autonomous driving shuttle and to recognize a guide line using at least one camera included in the camera unit. The autonomous driving shuttle is configured to drive using the information on the operation and the recognized guide line.
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公开(公告)号:US20240331304A1
公开(公告)日:2024-10-03
申请号:US18741330
申请日:2024-06-12
申请人: Outward, Inc.
发明人: Clarence Chui
IPC分类号: G06T19/00 , G06T17/00 , G06T19/20 , G06V20/00 , G06V20/20 , G06V20/40 , G06V20/64 , G06V20/70 , H04N21/84
CPC分类号: G06T19/00 , G06T17/00 , G06T19/20 , G06V20/20 , G06V20/35 , G06V20/41 , G06V20/647 , G06V20/70 , H04N21/84 , G06T2219/004
摘要: Techniques for tagging a scene are disclosed. In some embodiments, information about a scene is inferred by at least in part automatically interpreting a metric associated with the scene that is determined by analyzing data comprising a primitive form of the scene, wherein analyzed data comprising the primitive form of the scene comprises positions of three-dimensional objects in the scene. The scene is tagged with a tag comprising the inferred information.
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7.
公开(公告)号:US20240303909A1
公开(公告)日:2024-09-12
申请号:US18592689
申请日:2024-03-01
申请人: Hong YI , Haijing JIA , Hengzhi ZHANG , Liyan LIU , Weitao GONG
发明人: Hong YI , Haijing JIA , Hengzhi ZHANG , Liyan LIU , Weitao GONG
CPC分类号: G06T15/10 , G06T7/13 , G06T7/62 , G06T7/73 , G06T11/00 , G06V20/647 , G06T2207/20081 , G06T2207/20084
摘要: An image processing method and an image processing apparatus are provided. The image processing method includes obtaining a panoramic image to which a room corresponds; performing door detection on the panoramic image to determine first information related to at least one door in the room; and displaying, based on the first information, a panoramic identifier of the at least one door in the panoramic image, the panoramic identifier indicating at least a door outline, a door type and an opening type of the door.
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8.
公开(公告)号:US20240265254A1
公开(公告)日:2024-08-08
申请号:US18605628
申请日:2024-03-14
申请人: NVIDIA Corporation
发明人: Nuri Murat Arar , Niranjan Avadhanam , Nishant Puri , Shagan Sah , Rajath Shetty , Sujay Yadawadkar , Pavlo Molchanov
IPC分类号: G06N3/08 , G06F18/21 , G06F18/214 , G06N20/00 , G06V10/764 , G06V10/774 , G06V10/82 , G06V10/94 , G06V20/59 , G06V20/64 , G06V40/16 , G06V40/18
CPC分类号: G06N3/08 , G06F18/214 , G06F18/2193 , G06N20/00 , G06V10/764 , G06V10/774 , G06V10/82 , G06V10/95 , G06V20/597 , G06V20/647 , G06V40/171 , G06V40/193
摘要: Systems and methods for more accurate and robust determination of subject characteristics from an image of the subject. One or more machine learning models receive as input an image of a subject, and output both facial landmarks and associated confidence values. Confidence values represent the degrees to which portions of the subject's face corresponding to those landmarks are occluded, i.e., the amount of uncertainty in the position of each landmark location. These landmark points and their associated confidence values, and/or associated information, may then be input to another set of one or more machine learning models which may output any facial analysis quantity or quantities, such as the subject's gaze direction, head pose, drowsiness state, cognitive load, or distraction state.
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公开(公告)号:US12033406B2
公开(公告)日:2024-07-09
申请号:US17560141
申请日:2021-12-22
申请人: CUPIX, INC.
发明人: SeockHoon Bae , Jun Young Park
CPC分类号: G06V20/647 , G06F18/21 , G06T7/20 , G06T7/70 , G06T11/00 , G06V10/24 , G06V10/761 , G06T2200/04 , G06T2207/20081 , G06T2207/20084 , G06T2210/04
摘要: Provided are a method and apparatus for identifying the presence of a 3D object using an image. According to the method and the apparatus, two-dimensional images are used to identify whether a 3D object exists in the images. According to the method and apparatus for identifying the presence of a 3D object by using an image, the presence of a 3D object in space can be accurately and quickly identified by using two-dimensional images, leading to higher productivity.
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10.
公开(公告)号:US20240185537A1
公开(公告)日:2024-06-06
申请号:US18115161
申请日:2023-02-28
发明人: Oh Young SONG , Soo Mi CHOI , Bo Seong KIM , Jin Seong YANG
CPC分类号: G06T19/006 , G06T19/20 , G06V10/26 , G06V10/774 , G06V20/20 , G06V20/647 , G06T2219/2016
摘要: An apparatus for creating intelligent special effects based on object recognition according to an example of the present disclosure includes a communication module for receiving a photographed video of an object; a memory storing a program for creating special effect information from the received video; and a processor for executing a program stored in the memory, in which the program inputs an object video acquired from a camera to an object recognition model and extracts an object image to which an attribute of each object is matched, weight information of each object is derived by inputting size information of the object image for each attribute of each object to a weight estimation model, and special effect control information mapped to each object is determined based on the weight information for each attribute of each object.
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