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公开(公告)号:US20240362754A1
公开(公告)日:2024-10-31
申请号:US18764345
申请日:2024-07-04
发明人: Jiao TIAN
CPC分类号: G06T5/60 , G06T5/50 , G06T7/30 , G06T7/60 , G06T2207/10081 , G06T2207/10088 , G06T2207/20081 , G06T2207/30004
摘要: Systems and methods for motion artifact simulation are provided. The systems may obtain a target image including a target object. The systems may determine a plurality of sub-periods of a time period corresponding to the target image. The systems may determine a plurality of motion vector fields of the target object in the plurality of sub-periods. Each motion vector field of the plurality of motion vector fields may correspond to one of the plurality of sub-periods. The systems may determine a plurality of reconstruction images of the target object corresponding to the plurality of sub-periods based on projection data of the target image. Each reconstruction image of the plurality of reconstruction images may correspond to one of the plurality of sub-periods. The systems may generate a motion artifact simulation image of the target object based on the plurality of motion vector fields and the plurality of reconstruction images.
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公开(公告)号:US12125203B2
公开(公告)日:2024-10-22
申请号:US17780017
申请日:2020-10-14
发明人: Patrick Hoyer , Stefan Saur , Gerald Panitz
CPC分类号: G06T7/0012 , G06T7/30 , G06V20/698 , G06T2207/10016 , G06T2207/10056 , G06T2207/10068 , G06T2207/20016 , G06T2207/30004 , G06V2201/03
摘要: The invention relates to a method for determining information for distinguishing between tissue fluid cells and tissue cells in a high-resolution image of a tissue area. In the method, images stored temporarily with a low resolution and a high image rate before the high-resolution image is recorded are accessed and the information for distinguishing between tissue fluid cells and tissue cells is obtained from the temporarily stored images with the low resolution and the high image rate.
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公开(公告)号:US12125199B2
公开(公告)日:2024-10-22
申请号:US17539827
申请日:2021-12-01
申请人: VUNO Inc.
发明人: Hyunwoo Oh , Sejin Park , Jinkyeong Sung , Weon Jin Kim , Eunpyeong Hong , Dong Soo Lee
CPC分类号: G06T7/0012 , A61B5/0042 , A61B5/7264 , A61B5/7275 , G06N3/045 , G06T7/11 , G06T7/30 , G16H30/40 , G16H50/20 , A61B5/055 , A61B5/4088 , G06T2207/20084 , G06T2207/30016
摘要: Disclosed is a method for predicting disease based on a medical image performed by a computing device. The method includes: generating a feature vector related to predictive values of brain disease for each of 2D medical images included in a 3D medical image, using a pre-trained first model; estimating importance indicating prediction accuracy for each of the 2D medical images based on the feature vector, using a pre-trained second model; and selecting at least one model input image suitable for prediction of the brain disease from among the 2D medical images based on the importance.
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公开(公告)号:US20240338871A1
公开(公告)日:2024-10-10
申请号:US18746911
申请日:2024-06-18
申请人: NVIDIA Corporation
发明人: Donghoom LEE , Sifei Liu , Jinwei Gu , Ming-Yu Liu , Jan Kautz
CPC分类号: G06T11/60 , G06F18/217 , G06F18/24 , G06T3/02 , G06T7/30 , G06V30/274 , G06T7/70 , G06T2207/20081 , G06T2207/20084 , G06T2210/12
摘要: One embodiment of a method includes applying a first generator model to a semantic representation of an image to generate an affine transformation, where the affine transformation represents a bounding box associated with at least one region within the image. The method further includes applying a second generator model to the affine transformation and the semantic representation to generate a shape of an object. The method further includes inserting the object into the image based on the bounding box and the shape.
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公开(公告)号:US20240338847A1
公开(公告)日:2024-10-10
申请号:US18747192
申请日:2024-06-18
发明人: Humberto Roa , Rammohan Akula , Fabrice Canonge , Nicholas Fjellberg Swerdlowe , Rohit Ghatol , Grif Von Holst
IPC分类号: G06T7/73 , G06F16/583 , G06T3/4084 , G06T3/608 , G06T5/50 , G06T5/70 , G06T5/80 , G06T7/13 , G06T7/30 , G06T7/529 , G06T7/70 , G06T7/90 , G06T11/00 , G06T15/04
CPC分类号: G06T7/73 , G06F16/583 , G06T3/4084 , G06T3/608 , G06T5/50 , G06T5/70 , G06T5/80 , G06T7/13 , G06T7/30 , G06T7/529 , G06T7/70 , G06T7/90 , G06T11/001 , G06T15/04 , G06F2218/00 , G06T2207/20132 , G06T2207/20192 , G06T2207/30124 , G06T2207/30204 , G06T2210/16
摘要: A material data collection system allows capturing of material data. For example, the material data collection system may include digital image data for materials. The material data collection system may ensure that captured digital image data is properly aligned, so that material data may be easily recalled for later use, while maintaining the proper alignment for the captured digital image. The material data collection system may include using a capture guide, to provide cues on how to orient a mobile device used with the material data collection system.
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公开(公告)号:US12106476B2
公开(公告)日:2024-10-01
申请号:US17662088
申请日:2022-05-05
CPC分类号: G06T7/0012 , G06N3/04 , G06T5/92 , G06T7/30 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084 , G06T2207/30096
摘要: DCE MR images are obtained from a MR scanner and under a free-breathing protocol is provided. A neural network assigns a perfusion metric to DCE MR images. The neural network includes an input layer configured to receive at least one DCE MR image representative of a first contrast enhancement state and of a first respiratory motion state and at least one further DCE MR image representative of a second contrast enhancement state and of a second respiratory motion state. The neural network further includes an output layer configured to output at least one perfusion metric based on the at least one DCE MR image and the at least one further DCE MR image. The neural network with interconnections between the input layer and the output layer is trained by a plurality of datasets, each of the datasets having an instance of the at least one DCE MR image and of the at least one further DCE MR image for the input layer and the at least one perfusion metric for the output layer.
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公开(公告)号:US12086931B2
公开(公告)日:2024-09-10
申请号:US17982945
申请日:2022-11-08
申请人: TENCENT AMERICA LLC
发明人: Dan Miao , Bing Jian , Weiwei Feng , Shan Liu , Ye Wang
CPC分类号: G06T17/00 , G06T7/194 , G06T7/30 , G06T7/40 , G06T13/40 , G06T15/04 , G06V10/761 , G06T2207/30196
摘要: A method for 3D human model reconstruction and animation includes receiving a two-dimensional (2D) image of a human, segmenting the 2D image into a foreground with the human and a background without the human in the 2D image, generating a parametric model comprising a pose, a shape, and one or more rigging parameters based on the human in the foreground, predicting a textured three-dimensional (3D) model using implicit surface reconstruction of the human in the foreground, aligning the parametric model and the textured 3D model using a 3D registration, and generating a textured 3D clothed human model based on the aligned parametric model and the predicted textured 3D model.
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公开(公告)号:US20240296598A1
公开(公告)日:2024-09-05
申请号:US18662656
申请日:2024-05-13
发明人: Linxing LI
IPC分类号: G06T11/00 , G06F3/04845 , G06T7/30
CPC分类号: G06T11/00 , G06F3/04845 , G06T7/30 , G06T2200/24 , G06T2210/22
摘要: The present disclosure describes techniques of cropping an image. The techniques comprise determining a position of a border of a control in a display area of a display screen, wherein the control is configured to crop the image; adjusting a size of a cropping area in response to determining that the border of the control reaches a first target position while dragging the control, wherein the cropping area is an area enclosed by the border of the control; displaying the cropping area at a second target position of the display area when the dragging ends; and adjusting a display position of the image to make a center of the image coincide with a center of the cropping area or make the center of the image approach the center of the cropping area along a specified path.
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公开(公告)号:US20240296588A1
公开(公告)日:2024-09-05
申请号:US18662932
申请日:2024-05-13
发明人: David S. HOLZ
IPC分类号: G06T7/80 , G06T7/30 , G06V10/147 , G06V40/20
CPC分类号: G06T7/85 , G06T7/30 , G06V10/147 , G06V40/28 , G06T2207/10021 , G06T2207/30196
摘要: The technology disclosed relates to coordinating motion-capture of a hand by a network of motion-capture sensors having overlapping fields of view. In particular, it relates to designating a first sensor among three or more motion-capture sensors as having a master frame of reference, observing motion of a hand as it passes through overlapping fields of view of the respective motion-capture sensors, synchronizing capture of images of the hand within the overlapping fields of view by pairs of the motion-capture devices, and using the pairs of the hand images captured by the synchronized motion-capture devices to automatically calibrate the motion-capture sensors to the master frame of reference frame.
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公开(公告)号:US20240296568A1
公开(公告)日:2024-09-05
申请号:US18663756
申请日:2024-05-14
发明人: Liudmila A. Beziaeva , Gary Marshall , Adolfo Sanchez , Juan Alfredo Nader Delgado , Anthony DeMeo , Jennifer McSpadden , Shane Keeling
CPC分类号: G06T7/20 , G06F3/1423 , G06F3/1446 , G06T3/02 , G06T7/30 , G06T7/70 , G06T13/40 , G06T2207/30204 , G06T2207/30244 , G06T2215/16 , G09G2300/026
摘要: Systems, apparatus, and methods for rendering content based on production element pose are disclosed. In an example, motion capture data of a production element is received, the production element moving from a first physical pose to a second physical pose. The motion capture data is processed to determine the coordinates of the second physical pose. A transformation of the second physical pose of the production element to a virtual pose of the production element is generated. A virtual model of the production element is updated, the virtual model comprising the virtual pose of the production element. The content is rendered based on the updated virtual model.
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