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11.
公开(公告)号:US20230043497A1
公开(公告)日:2023-02-09
申请号:US17790984
申请日:2021-01-07
申请人: ARASHI VISION INC.
发明人: Qijiang Wu , Jingkang Liu , Kehui He
摘要: The present invention is applicable to the technical field of aerial photography. Disclosed are a panoramic photographing apparatus, a panoramic photographing system, a photographing method, and an aircraft. The photographing apparatus comprises a support connected to an aircraft body and a photographing module mounted on the support. The photographing module comprises a first photographing module and a second photographing module arranged in a first direction and a second direction. The first direction is opposite to the second direction. A line of sight corresponding to a maximum angle of view of the first photographing module intersects a line of sight corresponding to a maximum angle of view of the second photographing module. The photographing method uses the photographing apparatus. The aircraft comprises the photographing apparatus. The panoramic photographing system comprises the remote terminal and the photographing apparatus/aircraft. In the panoramic photographing apparatus, the panoramic photographing system, the photographing method, and the aircraft provided by the present invention, the aircraft body and the photographing apparatus are completely hidden during capturing of a panoramic photo or a panoramic video, thereby ensuring a good panoramic photographing effect, and facilitating subsequent image processing.
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公开(公告)号:US11568589B2
公开(公告)日:2023-01-31
申请号:US17751796
申请日:2022-05-24
申请人: Snap Inc.
摘要: Disclosed are systems and methods for portrait animation. An example method includes receiving, by a computing device, a scenario video, where the scenario video includes at least one input frame and the at least one input frame includes a first face, receiving, by the computing device, a target image, where the target image includes a second face, determining, by the computing device and based on the at least one input frame and the target image, two-dimensional (2D) deformations of the second face in the target image, where the 2D deformations, when applied to the second face, modify the second face to imitate at least a facial expression of the first face, and applying, by the computing device, the 2D deformations to the target image to obtain at least one output frame of an output video.
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公开(公告)号:US11538171B2
公开(公告)日:2022-12-27
申请号:US17249378
申请日:2021-03-01
发明人: Reza Farivar , Kenneth Taylor
摘要: A method may include identifying a first image for training a deep learning network, wherein the first image includes at least one target object associated with at least one location in the first image, and wherein the first image is associated with a mask image; determining a set of deformations to create a training set of deformed images, wherein the training set is to be used to train the deep learning network; generating the training set of deformed images by applying the set of deformations to the first image; and generating a set of deformed mask images by applying the set of deformations to the mask image, wherein each deformed image of the training set of deformed images is associated with a respective mask image to identify the location of the at least one target object in each deformed image.
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14.
公开(公告)号:US20220405544A1
公开(公告)日:2022-12-22
申请号:US17336824
申请日:2021-06-02
摘要: A system and method of 3-D image segmentation of brain images includes obtaining a 3-D MRI image, an employee phase including performing search cycles of generating solutions in a neighborhood, taking into account (a) movement of a bee's current location toward a mean value of a positive direction of a global best location and a positive direction of its own best location, (b) movement of the bee's current location toward the mean value of the positive direction of its own best location and a negative direction of the global best location, and (c) a random number, calculating a fitness value for the solutions based on membership values of pixels and distances between the pixels to cluster centers of pixels until search ends. Image segmentation of the image is performed using centers of clusters.
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公开(公告)号:US20220405521A1
公开(公告)日:2022-12-22
申请号:US17352469
申请日:2021-06-21
发明人: Hamidreza Vaezi JOZE
摘要: An image processor receives first image data representing an image. The first image data comprising a plurality of color values corresponding to a plurality of pixels in the image. The image processor determines, using a trained machine learning model, second image data based on the first image data. The second image data comprises surface spectral reflection values corresponding to the plurality of pixels in the image, where the surface spectral reflection values are distributed across a plurality of wavelengths of visible light in the image. The image processor then performs at least one image processing operation with respect to the image using the second image data.
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公开(公告)号:US11532087B2
公开(公告)日:2022-12-20
申请号:US17155778
申请日:2021-01-22
摘要: The disclosure relates, in part, to computer-based visualization of stent position within a blood vessel. A stent can be visualized using intravascular data and subsequently displayed as stent struts or portions of a stent as a part of a one or more graphic user interface(s) (GUI). In one embodiment, the method includes steps to distinguish stented region(s) from background noise using an amalgamation of angular stent strut information for a given neighborhood of frames. The GUI can include views of a blood vessel generated using distance measurements and demarcating the actual stented region(s), which provides visualization of the stented region. The disclosure also relates to display of intravascular diagnostic information such as indicators. An indicator can be generated and displayed with images generated using an intravascular data collection system. The indicators can include one or more viewable graphical elements suitable for indicating diagnostic information such as stent information.
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公开(公告)号:US11528453B2
公开(公告)日:2022-12-13
申请号:US17115378
申请日:2020-12-08
摘要: Techniques including obtaining a first location of a vehicle, the vehicle having two or more cameras disposed about the vehicle, each camera associated with a physical camera pose, capturing, by a first camera, a first image of a first area in a first field of view, associating the first image with the first location of the vehicle when the first image was captured, moving the vehicle in a direction so that the first area is in an expected second field of view of a second camera, wherein the second camera is not capturing images, obtaining a second location of the vehicle, determining a temporal camera pose based on a first physical camera pose, a second physical camera pose, and the second location of the vehicle, and rendering a view of the first area from the expected second field of view of the second camera based on the first image.
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18.
公开(公告)号:US11526994B1
公开(公告)日:2022-12-13
申请号:US17733579
申请日:2022-04-29
发明人: Mauricio Reyes , Michael Müller , Aly Abayazeed
IPC分类号: G06T7/174 , G06V10/764 , G06V10/32 , G06T7/00 , A61B5/00 , G06V10/82 , G06T3/40 , G06T7/62 , G01R33/56 , G06T7/38
摘要: Systems, methods, and computer program products are provided for segmenting a brain tumor from various MRI sequencing techniques. A plurality of MRI sequences of a head of a patient are received. Each MRI sequence includes a T1-weighted with contrast image, a Fluid Attenuated Inversion Recovery (FLAIR) image, a T1-weighted image, and a T2-weighted image. Each image of the plurality of MRI sequences is registered to an anatomical atlas. A plurality of modified MRI sequences are generated by removing a skull from each image in the plurality of MRI sequences. A tumor segmentation map is determined by segmenting a tumor within a brain in each image in the plurality of modified MRI sequences. The tumor segmentation map is applied to each of the plurality of MRI sequences to thereby generate a plurality of labelled MRI sequences.
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公开(公告)号:US11521311B1
公开(公告)日:2022-12-06
申请号:US17100925
申请日:2020-11-22
发明人: Tarek El Dokor , Jordan Cluster
摘要: A novel disparity computation technique is presented which comprises multiple orthogonal disparity maps, generated from approximately orthogonal decomposition feature spaces, collaboratively generating a composite disparity map. Using an approximately orthogonal feature set extracted from such feature spaces produces an approximately orthogonal set of disparity maps that can be composited together to produce a final disparity map. Various methods for dimensioning scenes and are presented. One approach extracts the top and bottom vertices of a cuboid, along with the set of lines, whose intersections define such points. It then defines a unique box from these two intersections as well as the associated lines. Orthographic projection is then attempted, to recenter the box perspective. This is followed by the extraction of the three-dimensional information that is associated with the box, and finally, the dimensions of the box are computed. The same concepts can apply to hallways, rooms, and any other object.
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公开(公告)号:US11513669B2
公开(公告)日:2022-11-29
申请号:US16805199
申请日:2020-02-28
IPC分类号: G06F3/04845 , G06F3/0482 , G06F3/04817 , H04N5/265 , H04N5/272 , G06T7/13 , G06T7/174 , G06T7/194 , H04N5/232
摘要: Methods, devices, and systems related to a user interface for modifying pictures are described. Modifying pictures can include placing an image of a picture in a different picture, replacing an image of the picture with a different image, deleting an image from the picture, and/or storing an image from the picture. In an example, a method can include displaying a first picture on a user interface of a mobile device, receiving, on the user interface, a selection of at least one foreground image included in the first picture, receiving, on the user interface, a selection of a background image included in a library of images, and displaying, on a user interface, a second picture including the at least one selected foreground image and the selected background image responsive to receiving the selection of the at least one foreground image followed by the selection of the background image.
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