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公开(公告)号:US12100098B2
公开(公告)日:2024-09-24
申请号:US17970490
申请日:2022-10-20
Applicant: Magic Leap, Inc.
Inventor: Benjamin Joseph Uscinski
CPC classification number: G06T17/00 , G06T7/564 , G06T7/593 , G06T19/006 , G06V10/44 , G06V20/20 , G06V40/193
Abstract: A method to reconstruct an environment is provided. The method makes available to a wide variety of XR applications fresh and accurate 3D reconstruction data of environments with low processing time and low usage of computational resources and storage spaces. The 3D reconstruction data are structured in a way to be efficiently shared between users for multi-user experiences. The method includes obtaining plane segments of an environment, identifying surface planes of the environment by, for example, filtering and grouping the plane segments or ad hoc selection of the plane segments by a user, and inferring corner points of the environment based on the surface planes. The corner points are used to build a 3D representation of the environment when an XR application requires.
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公开(公告)号:US12080037B2
公开(公告)日:2024-09-03
申请号:US17749771
申请日:2022-05-20
Inventor: Chiayu Lin , Tsubasa Kusaka
Abstract: According to one embodiment, a reading system includes an extractor, a generator, a corrector, and a reader. The extractor extracts a first candidate region from an input image. The first candidate region is of a candidate of a region in which a meter is imaged. The generator generates a rectangle around the first candidate region when an exterior form of the first candidate region is circular. The rectangle corresponds to the exterior form of the first candidate region. The corrector generates a second candidate region by using the generated rectangle to correct the exterior form of the first candidate region to approach a perfect circle. The reader reads, from the second candidate region, a numerical value indicated by the meter.
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公开(公告)号:US20240249424A1
公开(公告)日:2024-07-25
申请号:US18550210
申请日:2022-03-04
Applicant: Central Institute for Experimental Animals
Inventor: Terumi Yurimoto , Erika Sasaki , Takashi Inoue
CPC classification number: G06T7/564 , A01K29/005 , G06T7/90 , G06T2207/10024 , G06T2207/10048 , G06T2207/20081 , G06T2207/20084
Abstract: An excrement property estimation model learning device includes a training data acquisition unit configured to acquire training data including input-side training data including an excrement space which is a predetermined space where there is excrement from an animal being reared, and learning image data that is image data of a captured image obtained by capturing the excrement space, and a correct label indicating whether any abnormal excrement that is abnormal excrement is reflected in an image shown in the learning image data, an excrement property estimation learning model execution unit configured to use an excrement property estimation learning model, which is a machine learning model for estimating a probability that abnormal excrement is reflected in the learning image data, to estimate the probability that abnormal excrement is reflected in the image shown in the learning image data, and an update unit configured to update, on the basis of a difference between an estimation result from the excrement property estimation learning model execution unit and the correct label, the excrement property estimation learning model such that the difference is reduced.
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公开(公告)号:US20240193796A1
公开(公告)日:2024-06-13
申请号:US18528447
申请日:2023-12-04
Applicant: NEC Corporation
Inventor: Katsuhiro YUTANI
CPC classification number: G06T7/251 , G06T7/521 , G06T7/564 , G06T2207/10028
Abstract: An acquisition means repeatedly acquires three-dimensional data of a monitoring target surface on a time axis. A deformation detection means detects, based on a plurality of pieces of the three-dimensional data, a first deformation occurring at a first time, and a second deformation occurring at a position different from an occurrence position of the first deformation at a second time being after the first time. A deformation prediction means predicts, based on a detection result by the deformation detection means, that a third deformation may occur in a future at a position different from occurrence positions of the first deformation and the second deformation.
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公开(公告)号:US11819359B2
公开(公告)日:2023-11-21
申请号:US17409411
申请日:2021-08-23
Applicant: JointVue, LLC
Inventor: Mohamed R. Mahfouz , Ray C. Wasielewski
CPC classification number: A61B8/0875 , A61B8/14 , A61B8/5207 , A61B8/5223 , G06T7/564 , G06T17/00 , A61B8/4245 , G06T2207/10028 , G06T2207/10136 , G06T2207/30008 , G06T2210/41
Abstract: Methods and apparatus for treating a patient. The method includes acquiring a plurality of radio frequency (RF) signals with an ultrasound transducer, each RF signal representing one or more return echoes from a scan line of a pulse-mode echo ultrasound scan. A position of the ultrasound transducer corresponding to each of the acquired RF signals is determined, and a plurality of contour lines generated from the plurality of RF signals. The method estimates a 3-D shape and position of an anatomical feature, such as a joint of patient based on the generated contour lines and corresponding ultrasound transducer positions. An apparatus, or computer includes a processor and a memory with instructions that, when executed by the processor, perform the aforementioned method.
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公开(公告)号:US11748891B2
公开(公告)日:2023-09-05
申请号:US17799010
申请日:2021-02-26
Inventor: Junming Hong , Huan Chen
IPC: G06T7/12 , G06T7/521 , B65G69/24 , B65G69/26 , B66C13/18 , G06T7/10 , G06V30/19 , G06T7/543 , G06T7/564 , B65G67/04
CPC classification number: G06T7/12 , B65G69/24 , B65G69/26 , B66C13/18 , G06T7/10 , G06T7/521 , G06T7/543 , G06T7/564 , G06V30/19127 , B65G67/04
Abstract: The present invention provides an automatic container loading and unloading apparatus and method. The apparatus comprises: a data acquisition module, used for scanning a container truck panel to obtain laser point cloud data; a data preprocessing module, used for segmenting a laser point cloud on a surface of the container truck panel from the laser point cloud data; a key point extraction module, used for performing edge extraction on the laser point cloud on the surface of the container truck panel to obtain discrete points on edges of the keel of the container truck panel; and a straight line fitting module, used for performing random sample consensus straight line fitting on the discrete points on the edges of the keel of the container truck panel to obtain spatial straight lines of the edges of the keel of the truck panel. The automatic container loading and unloading apparatus and method provided by the present invention using spatial straight lines on the edges of the keel of the container truck panel for computing processing, thereby achieving stronger robustness and higher accuracy, so that a container is loaded onto the container truck panel with higher precision and lower calculation amount.
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公开(公告)号:US20230186462A1
公开(公告)日:2023-06-15
申请号:US18082410
申请日:2022-12-15
Applicant: KRONES AG
Inventor: Thorsten GUT , Thomas BOCK
Abstract: Disclosed is a method for inspecting containers, wherein the containers are transported along a predetermined transport path using a transport device and are inspected using an inspection device, wherein the inspection device records at least one spatially resolved image of a container to be inspected using an image recording device and an image evaluation device evaluates this image. According to the invention, data of a model of this container are used to evaluate this image.
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公开(公告)号:US11646211B2
公开(公告)日:2023-05-09
申请号:US17189738
申请日:2021-03-02
Applicant: Kioxia Corporation
Inventor: Hiroyuki Tanizaki
IPC: H01L21/67 , H01L21/311 , H01L27/11582 , H01L27/11529 , H01L27/11573 , H01L23/522 , G01B15/02 , G01B15/04 , G01B17/06 , G06T7/00 , G06T7/564 , H01L21/66 , H01L27/11556
CPC classification number: H01L21/67253 , G01B15/02 , G01B15/04 , G01B17/06 , G06T7/0004 , G06T7/564 , H01L21/31111 , H01L21/31144 , H01L22/26 , H01L23/5226 , H01L27/11529 , H01L27/11556 , H01L27/11573 , H01L27/11582 , G06T2207/10116 , G06T2207/30148
Abstract: A measuring device includes a measuring stage on which a subject is placed, an X-ray irradiation unit, an X-ray detection unit that detects scattered X-rays generated from the subject and an analysis unit that analyzes the diffraction image obtained by photo-electrically converting scattered X-rays and presumes (estimates) the three-dimensional shape of the subject. In the subject, holes are formed in the ON stack film from the opening of the etching mask film formed on the ON stack film. The analysis unit presumes the three-dimensional shape of the subject based a plurality of the diffraction images acquired while changing a rotation angle of the measuring stage and the measurement data of the subject by at least one of measuring methods of a multi-wavelength light measurement and a laser ultrasonic wave measurement.
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9.
公开(公告)号:US20180240280A1
公开(公告)日:2018-08-23
申请号:US15752683
申请日:2016-08-15
Applicant: METAIL LIMITED
Inventor: Yu CHEN , Dongjoe SHIN , Joe TOWNSEND , Jim DOWNING , Duncan ROBERTSON , Tom ADEYOOLA
CPC classification number: G06T19/20 , G06T7/564 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196 , G06T2210/16 , G06T2210/44 , G06T2219/2021
Abstract: A method of generating an image file of a high resolution 3D garment model on a 3D body model, comprising the steps of: (i) acquiring at least three 2D images of a garment on a mannequin, wherein the at least three 2D images capture a 360° azimuthal angle range of view of the garment, including a texture of the garment; (ii) creating a simplified 3D garment model using the 2D images of the garment; (iii) simulating the smooth and simplified 3D garment model on the 3D body model; (iv) deforming and rendering the high-resolution garment texture on the simulated smooth and simplified 3D garment model on the 3D body model, and (v) generating an image file of the 3D body model, the image file including the deformed and rendered high-resolution garment texture, on the simulated smooth and simplified 3D garment model, on the 3D body model.
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10.
公开(公告)号:US09767611B2
公开(公告)日:2017-09-19
申请号:US14521344
申请日:2014-10-22
Applicant: CANON KABUSHIKI KAISHA
Inventor: Kazuki Takemoto
CPC classification number: G06T19/006 , G06T7/564 , G06T15/00 , G06T2207/10012
Abstract: An information processing apparatus extracts, from each of images of an object captured from a plurality of viewpoints, a contour of the object, selects at least one point included in the contour for each of the extracted contour, and associates the selected points between the images, derives three-dimensional coordinates of the associated points, derives a plane for approximating the object based on the derived three-dimensional coordinates of the points, and estimates depth values of unassociated points out of points on the contour based on the three-dimensional coordinates of the related points and the derived plane, to accurately estimate depth value of the object.
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