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公开(公告)号：US20230140146A1
公开(公告)日：2023-05-04
申请号：US17519117
申请日：2021-11-04
申请人： Adobe Inc.
发明人： Daichi Ito , Yijun Li , Yannick Hold-Geoffroy , Koki Madono , Jose Ignacio Echevarria Vallespi , Cameron Younger Smith
摘要： A vectorized caricature avatar generator receives a user image from which face parameters are generated. Segments of the user image including certain facial features (e.g., hair, facial hair, eyeglasses) are also identified. Segment parameter values are also determined, the segment parameter values being those parameter values from a set of caricature avatars that correspond to the segments of the user image. The face parameter values and the segment parameter values are used to generate a caricature avatar of the user in the user image.
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公开(公告)号：US11640692B1
公开(公告)日：2023-05-02
申请号：US17159360
申请日：2021-01-27
申请人： Apple Inc.
摘要： Various implementations disclosed herein include devices, systems, and methods that determines generates a three-dimensional (3D) model based on depth data and a segmentation mask. For example, an example process may include obtaining depth data including depth values for pixels of a first image, obtaining a segmentation mask associated with a second image, the segmentation mask identifying a portion of the second image associated with an object, and generating a 3D model based on the depth data and the mask.
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3.发明申请公开(公告)号：US20230129957A1
公开(公告)日：2023-04-27
申请号：US17908730
申请日：2021-03-04
发明人： Jayaram K. UDUPA , Tiange LIU , Yubing TONG , Drew A. TORIGIAN
摘要： Methods and systems are described for determining body composition information. An example method can comprise receiving imaging data associated with a patient, causing the imaging data to be input into a convolutional neural network stored on one or more computing devices, determining, based on output data resulting from inputting the imaging data into the convolutional neural network, body composition information, and causing output of the body composition information.
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公开(公告)号：US20230129341A1
公开(公告)日：2023-04-27
申请号：US17584233
申请日：2022-01-25
申请人： Adobe Inc.
发明人： Betty Leong , Hyunghwan Byun , Alan L Erickson , Chih-Yao Hsieh , Sarah Kong , Seyed Morteza Safdarnejad , Salil Tambe , Yilin Wang , Zijun Wei , Zhengyun Zhang
IPC分类号： G06T7/10 , G06F3/04842 , G06T3/40
摘要： The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate preliminary object masks for objects in an image, surface the preliminary object masks as object mask previews, and on-demand converts preliminary object masks into refined object masks. Indeed, in one or more implementations, an object mask preview and on-demand generation system automatically detects objects in an image. For the detected objects, the object mask preview and on-demand generation system generates preliminary object masks for the detected objects of a first lower resolution. The object mask preview and on-demand generation system surfaces a given preliminary object mask in response to detecting a first input. The object mask preview and on-demand generation system also generates a refined object mask of a second higher resolution in response to detecting a second input.
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公开(公告)号：US11636822B2
公开(公告)日：2023-04-25
申请号：US16534890
申请日：2019-08-07
摘要： Systems for identifying threat materials such as CBRNE threats and locations are provided. The systems can include a data acquisition component configured to determine the presence of a CBRNE threat; data storage media; and processing circuitry operatively coupled to the data acquisition device and the storage media. Methods for identifying a CBRNE threat are provided. The methods can include: determining the presence of a CBRNE threat using a data acquisition component; and acquiring an image while determining the presence of the CBRNE threat. Methods for augmenting a real-time display to include the location and/or type of CBRNE threat previously identified are also provided. Methods for identifying and responding to CBRNE threats are provided as well.
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公开(公告)号：US11636670B2
公开(公告)日：2023-04-25
申请号：US17256582
申请日：2020-06-04
申请人： DEEPX CO., LTD.
发明人： Lok Won Kim
摘要： An apparatus for recognizing an object in an image includes a preprocessing module configured to receive an image including an object and to output a preprocessed image by performing image enhancement processing on the received image to improve a recognition rate of the object included in the received image; and an object recognition module configured to recognize the object included in the image by inputting the preprocessed image to an input layer of an artificial neural network for object recognition.
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公开(公告)号：US11631262B2
公开(公告)日：2023-04-18
申请号：US17098285
申请日：2020-11-13
发明人： Tianyi Chen , Gowtham Ganesan , Biyi Fang , Sheng Yi
摘要： A data processing system for performing a semantic analysis of digital ink stroke data implements obtaining the digital ink stroke data representing handwritten text, drawings, or both; analyzing the digital ink stroke data to extract path signature feature information from the digital ink stroke data; analyzing the path signature feature information using a convolutional neural network (CNN) trained to perform a pixel-level sematic analysis of the digital ink stroke data and to output a pixel segmentation map with semantic prediction information for each pixel of digital ink stroke data; analyzing the pixel segmentation map to generate stroke-level semantic information using a pixel-to-stroke conversion model; and processing the digital ink stroke data based on the stroke-level semantic information.
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公开(公告)号：US20230110419A1
公开(公告)日：2023-04-13
申请号：US17905663
申请日：2021-02-03
申请人： BEIERSDORF AG
发明人： Sven CLEMANN , Soeren JASPERS , Maria del Pilar BONILLA-TOBAR , Michael SIEVERS , Sonja PAGEL-WOLFF , Juan Manuel GRADOS-LUYANDO , Katarzyna ZIOLKOWSKA
摘要： The invention relates to a method for recommending cosmetics, skin care products and/or dermatological products that are adapted to the condition of the skin.
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9.发明授权公开(公告)号：US11625875B2
公开(公告)日：2023-04-11
申请号：US17091416
申请日：2020-11-06
申请人： Adobe Inc.
发明人： Taesung Park , Alexei A. Efros , Elya Shechtman , Richard Zhang , Junyan Zhu
摘要： The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately and flexibly generating modified digital images utilizing a novel swapping autoencoder that incorporates scene layout. In particular, the disclosed systems can receive a scene layout map that indicates or defines locations for displaying specific digital content within a digital image. In addition, the disclosed systems can utilize the scene layout map to guide combining portions of digital image latent code to generate a modified digital image with a particular textural appearance and a particular geometric structure defined by the scene layout map. Additionally, the disclosed systems can utilize a scene layout map that defines a portion of a digital image to modify by, for instance, adding new digital content to the digital image, and can generate a modified digital image depicting the new digital content.
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10.发明授权公开(公告)号：US11625831B2
公开(公告)日：2023-04-11
申请号：US17366561
申请日：2021-07-02
申请人： Oxilio Ltd
摘要： A method and a system for determining an orthodontic treatment for a plurality of teeth of a subject are provided. The method comprises: receiving a 3D representation of a first tooth and a second tooth, adjacent thereto, of the subject, of a plurality of teeth of the subject; obtaining a tooth-gingiva segmentation loop; identifying an outer set of vertices positioned outside the tooth-gingiva segmentation loop and an inner set of vertices positioned inside the tooth-gingiva segmentation loop; generating a first interdental loop extending, along the 3D representation, through a given inner vertex and a given outer vertex, such that: the first interdental loop is at least partially indicative of an interdental boundary between the first tooth and the second tooth; and the first interdental loop intersects the tooth-gingiva segmentation loop; and generating the first tooth 3D representation based on the tooth-gingiva segmentation loop and the first interdental loop.
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