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公开(公告)号:US12118775B2
公开(公告)日:2024-10-15
申请号:US17438098
申请日:2019-04-12
Applicant: INTEL CORPORATION
Inventor: Qiang Li , Wenlong Li , Yumeng Wang , Xiaofeng Tong
CPC classification number: G06V10/955 , G06T7/73 , G06T17/10 , G06V20/52 , G06V40/103 , G06V40/20 , G06V40/23
Abstract: Methods, systems and apparatuses may provide for technology that detects an individual in a real-time multi-camera video feed and generates three-dimensional (3D) skeletal data based on the real-time multi-camera video feed. The technology may also automatically identify a frontal body orientation of an individual based on the 3D skeletal data and one or more anthropometric constraints.
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公开(公告)号:US20240326253A1
公开(公告)日:2024-10-03
申请号:US18740527
申请日:2024-06-12
Applicant: Clara VU , Scott DENENBERG , Patrick SOBALVARRO , Alberto MOEL
Inventor: Clara VU , Scott DENENBERG , Patrick SOBALVARRO , Alberto MOEL
CPC classification number: B25J9/1694 , B25J9/1666 , B25J9/1676 , B25J9/1697 , G01S7/4808 , G01S17/04 , G01S17/87 , G01S17/89 , G06T17/10 , G01V8/20 , G05B2219/40202 , G06T17/05 , Y10S901/47 , Y10S901/49
Abstract: A method of safely operating machinery in a workspace includes recording images of a portion of a workspace. The method also includes generating a three-dimensional (3D) representation of the portion of the workspace based on the recorded images, where the 3D representation includes one or more volumes that correspond to the portion of the workspace. Additionally, the method includes identifying one or more of the volumes as being either occupied or unoccupied. Further, the method includes mapping one or more safe zones based on the one or more identified volumes, where the safe zones correspond to one or more regions within the portion of the workspace for safe operation of machinery.
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公开(公告)号:US20240320915A1
公开(公告)日:2024-09-26
申请号:US18444490
申请日:2024-02-16
Inventor: Xiangru HUANG , Marianne ARRIOLA , Yue WANG , Vitor Campagnolo GUIZILINI , Rares Andrei AMBRUS , Justin SOLOMON
Abstract: A method for generating a visual representation of an environment based on a point cloud includes hierarchically processing the point cloud with different granularity levels to generate multiple groups of primitives and multiple sets of points. The method also includes generating a group of intermediate sets associated with the point cloud, each intermediate set associated with one of the multiple groups of primitives and one of the multiple sets of points, having a same granularity level. The method further includes iteratively determining respective features associated with each intermediate set of a sequence of intermediate sets, each intermediate set included the set of primitives and the set of points, the respective features including first features of the set of primitives and second features of the set of points. The method still further includes generating the visual representation based on the respective features of each one of the sequence of intermediate sets.
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公开(公告)号:US12100105B2
公开(公告)日:2024-09-24
申请号:US17992144
申请日:2022-11-22
Applicant: Dimension Stream Labs AB
Inventor: Ulf Assarsson , Erik Sintorn , Sverker Rasmuson
CPC classification number: G06T17/10 , G06F3/012 , G06T7/70 , G06T15/06 , G06T15/08 , G06T15/20 , G06T17/20 , G06T2200/08 , G06T2207/30196 , G06T2210/62 , G06T2215/12
Abstract: The present disclosure relates to a method and capturing arrangement for creating a three-dimensional model of a scene. The model comprises a three-dimensional space comprising a plurality of discrete three-dimensional volume elements (V1,1, V1,2) associated with three initial direction-independent color values and an initial opacity value. The method comprises obtaining a plurality of images of said scene and defining a minimization problem. Wherein the minimization problem comprises three residuals, one for each color value, wherein each residual is based on the difference between (a) the color value of each image element of each image and (b) an accumulated direction-independent color value of the volume along each ray path of each image element. The method further comprises creating the three-dimensional model of the scene by solving said minimization problem.
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公开(公告)号:US12097625B2
公开(公告)日:2024-09-24
申请号:US17206626
申请日:2021-03-19
Applicant: Clara Vu , Scott Denenberg , Ilya A. Kriveshko , Paul Jakob Schroeder
Inventor: Clara Vu , Scott Denenberg , Ilya A. Kriveshko , Paul Jakob Schroeder
IPC: G05B19/4061 , B25J9/16 , G01S7/48 , G01S17/04 , G01S17/87 , G01S17/89 , G06T17/10 , G01V8/20 , G06T17/05
CPC classification number: B25J9/1694 , B25J9/1666 , B25J9/1676 , B25J9/1697 , G01S7/4808 , G01S17/04 , G01S17/87 , G01S17/89 , G06T17/10 , G01V8/20 , G05B2219/40202 , G06T17/05 , Y10S901/47 , Y10S901/49
Abstract: Systems and methods for identifying a robot end effector in a processing environment may utilize one or more sensors for digitally recording visual information and providing that information to an industrial workflow. The sensor(s) may be positioned to record at least one image of the robot including the end effector. A processor may determine the identity of the end effector from the recorded image(s) and a library or database stored digital models.
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公开(公告)号:US12094115B2
公开(公告)日:2024-09-17
申请号:US18080423
申请日:2022-12-13
Applicant: Materialise NV
Inventor: Nicolo Piazza , Peter Verschueren , Todd Pietila
CPC classification number: G06T7/0012 , A61B5/1075 , G06T7/60 , G06T7/62 , G06T17/10 , A61B5/055 , A61B2576/023 , A61F2/2496 , G06T2207/20104 , G06T2207/30048 , G06T2210/41
Abstract: Systems and methods of valve quantification are disclosed. In one embodiment, a method of mitral valve quantification is provided. The method includes generating a 3-D heart model, defining a 3-D mitral valve annulus, fitting a plane through the 3-D mitral valve annulus, measuring the distance between at least two papillary muscle heads, defining an average diameter of at least one cross section around the micro valve annulus, and determining a size of an implant to be implanted.
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公开(公告)号:US12086929B2
公开(公告)日:2024-09-10
申请号:US17707880
申请日:2022-03-29
Applicant: NexTech AR Solutions Corp.
Inventor: Nima Sarshar , Max Hwang
IPC: G06T17/00 , G06F30/10 , G06F30/12 , G06N20/20 , G06T7/10 , G06T7/62 , G06T7/70 , G06T7/90 , G06T15/04 , G06T17/10 , G06T17/20 , G06T17/30 , G06V10/74 , G06V20/64
CPC classification number: G06T17/00 , G06F30/10 , G06T7/10 , G06T7/62 , G06T7/70 , G06T7/90 , G06T15/04 , G06T17/10 , G06T17/20 , G06T17/30 , G06V10/761 , G06V20/64 , G06F30/12 , G06N20/20 , G06T2207/20044 , G06T2207/20084 , G06T2207/30196
Abstract: The model generation system may generate texture maps for a texture based on a material image. A material image is an image of a physical material that describes the color (e.g., red-green-blue (RGB) color system model) of the physical material. The model generation system may identify a material class for the physical material depicted in the material image by applying a machine-learning model to the material image. The model generation system may then identify a texture map model that generates texture maps for the physical material based on the material image. The texture map model is a machine-learning model that is trained to generate texture maps for material images of a particular material class. The texture maps generated by the texture map model may include texture maps of standard texture values, such as metalness and roughness.
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公开(公告)号:US12079405B2
公开(公告)日:2024-09-03
申请号:US18306229
申请日:2023-04-24
Applicant: Microsoft Technology Licensing, LLC
Inventor: Arie Gur , Amir Zyskind , Ilan Geller
IPC: G06F3/041 , G06F3/0354 , G06F3/038 , G06F3/044 , G06F3/0482 , G06F3/04845 , G06T17/10 , G06T19/20
CPC classification number: G06F3/0383 , G06F3/03545 , G06F3/041 , G06F3/044 , G06F3/0441 , G06F3/0442 , G06F3/0446 , G06F3/0482 , G06F3/04845 , G06T17/10 , G06T19/20 , G06T2219/2016
Abstract: A method includes detecting presence of a handheld device in proximity of a touch enabled device and negotiating communication capabilities between the handheld device and a digitizer system of the touch enabled device. At least one of the handheld device and the digitizer system is configured to match a defined communication capability of the other of the at least one of the handheld device and digitizer system. Input from the handheld device is tracked via an electrostatic communication channel between the handheld device and the digitizer system based on the defined communication configuration.
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公开(公告)号:US12074661B2
公开(公告)日:2024-08-27
申请号:US17389572
申请日:2021-07-30
Applicant: Cisco Technology, Inc.
Inventor: Samer Salam , Min Se Kim
IPC: H04B17/391 , G06F30/18 , G06T15/00 , G06T15/04 , G06T15/08 , G06T17/10 , H04B17/318 , H04B17/336 , H04W16/20
CPC classification number: H04B17/391 , G06F30/18 , G06T15/005 , G06T15/04 , G06T15/08 , G06T17/10 , H04B17/318 , H04B17/336 , H04W16/20
Abstract: The present technology is directed to visualizing a Wi-Fi signal propagation in 3-D based on a building plan defined with implicit geometry. The present technology can extract data from a building plan file where a 3-D space and objects in a building plan are defined with implicit geometry, transform the implicit geometry to explicit geometry for the 3-D space and the objects to translate a positioning of the 3-D space and objects from a local coordinate system to a global coordinate system, calculate a RF propagation pattern in the 3-D space based on a RF propagation model for a plurality of Wi-Fi access points located in the 3-D space, and present a 3-D visualization of the RF propagation pattern in the 3-D space.
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公开(公告)号:US12051154B2
公开(公告)日:2024-07-30
申请号:US17562751
申请日:2021-12-27
Applicant: Advanced Micro Devices, Inc.
Inventor: Anirudh R. Acharya , Ruijin Wu
CPC classification number: G06T17/10 , G06T1/20 , G06T15/005 , G06T15/40
Abstract: Systems and methods for distributed rendering using two-level binning include processing primitives of a frame to be rendered at a first graphics processing unit (GPU) chiplet in a set of GPU chiplets to generate visibility information of primitives for each coarse bin and providing the visibility information to the other GPU chiplets in the set of GPU chiplets. Each coarse bin is then assigned to one of the GPU chiplets of the set of GPU chiplets and rendered at the assigned GPU chiplet based on the corresponding visibility information.
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