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公开(公告)号:US20250069344A1
公开(公告)日:2025-02-27
申请号:US18946636
申请日:2024-11-13
Applicant: Zelig Technology, LLC
Inventor: Sandra Sholl , Adam Freede
Abstract: Disclosed are example implementations of systems and methods for virtual try-on of articles of clothing. An example method of virtual try-on of articles of clothing includes ingesting information specifying articles of clothing using a first machine learning model; retrieving a stored outfit, the stored outfit comprising at least one garment; inferring a style for the stored outfit preferred by the user with a second machine learning model; generating a shopper avatar wearing the stored outfit with the inferred style based on a physique of a user; and providing the shopper avatar wearing the stored outfit with the inferred style for display to the user in a user interface.
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公开(公告)号:US12236607B2
公开(公告)日:2025-02-25
申请号:US17124363
申请日:2020-12-16
Applicant: Align Technology, Inc.
Inventor: Assaf Weiss , Maxim Volgin , Pavel Agniashvili , Chad Clayton Brown , Alexander Raskhodchikov , Avi Kopelman , Michael Sabina , Moti Ben-Dov , Shai Farkash , Igor Makiewsky , Maayan Moshe , Ofer Saphier
Abstract: In embodiments, a processing device detects a margin line in a model of a preparation from one or more images. The processing device determines, for each segment of a plurality of segments of the margin line, a quality score for the segment. The processing device determines that a segment of the margin line has a quality score that is below a quality threshold, wherein the segment of the margin line was generated based on a first set of images. Responsive to determining that the segment of the margin line has the quality score that is below the quality threshold, the processing devices updates the three-dimensional model of the preparation by replacing a portion of the three-dimensional model associated with the segment of the margin line with image data from at least one of a new image or a second set of images.
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公开(公告)号:US20250061661A1
公开(公告)日:2025-02-20
申请号:US18935221
申请日:2024-11-01
Applicant: GE Precision Healthcare LLC
Inventor: Nicolas Gogin , Jerome Knoplioch , Vincent Morard
Abstract: A 3D segmentation editing system accurately updates the segmentations of non-edited images of a 3D scan to reflect segmentation edits applied to other images of the scan using localized interpolation. In one or more embodiments, rather than replacing the entireties of the initial segmentations of non-edited images with newly generated, globally interpolated segmentations, the segmentation editing system applies a distance-based criterion to the interpolation of segmentation edits, such that only portions of the segmentations of the non-edited images that correspond to areas that were manually annotated in the edited images will be modified by the interpolation process, and the initial segmentations will be maintained outside of those edited areas. In this way, the system merges the interpolated segmentation with the initial segmentation for each non-edited image in a manner that mitigates unreliable modifications to the initial segmentations in areas far from the edited areas.
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公开(公告)号:US12223657B2
公开(公告)日:2025-02-11
申请号:US18136212
申请日:2023-04-18
Applicant: Snap Inc.
Inventor: Menglei Chai , David LeMieux , Shubham Vij , Ian Wehrman
Abstract: An image segmentation system to perform operations that include causing display of an image within a graphical user interface of a client device, receive a set of user inputs that identify portions of a background and foreground of the image, identify a boundary of an object depicted within the image based on the set of user inputs, crop the object from the image based on the boundary, and generate a media item based on the cropped object, wherein properties of the media object, such as a size and a shape, are based on the boundary of the object.
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公开(公告)号:US20250046088A1
公开(公告)日:2025-02-06
申请号:US18719096
申请日:2022-01-11
Applicant: Mitsubishi Electric Corporation
Inventor: Shun CHIKAMORI
IPC: G06V20/52 , G06T7/12 , G06V10/764
Abstract: A surveillance camera image analysis system according to the presently disclosed technology includes a first surveillance camera, and the first surveillance camera includes a deep learning inference processing unit having artificial intelligence capable of learning, in which the artificial intelligence learns using supervised learning data, and the supervised learning data is divided in accordance with one or more image shooting angles and one or more object distances.
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公开(公告)号:US20250045937A1
公开(公告)日:2025-02-06
申请号:US18789644
申请日:2024-07-30
Applicant: Shanghai United Imaging Healthcare Co., Ltd.
Inventor: Chen Sun , Yihuan Lu , Hancong Xu , Yun Dong
Abstract: An image registration method, a system, a device, and a medium are provided. The image registration method includes acquiring a to-be-registered image and a reference image of an object, performing registration on the to-be-registered image and the reference image. Either or both of the to-be-registered image and the reference image is a Histoimage with a PET mode.
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公开(公告)号:US12217488B2
公开(公告)日:2025-02-04
申请号:US17562988
申请日:2021-12-27
Applicant: FUJIFILM Corporation
Inventor: Sadato Akahori , Takuya Fuchigami
IPC: G06T7/00 , G06T7/12 , G06V10/00 , G06V10/774
Abstract: A learning image generation device including: a supervised data acquisition unit that acquires supervised data including a learning image and a correct learning image in which a correct region is defined in the learning image as a pair; and a variation learning image generation unit that generates a variation learning image in which a pixel value of a pixel belonging to the correct region is varied within a limitation range of an allowable pixel value of the pixel belonging to the correct region in the learning image.
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公开(公告)号:US20250037374A1
公开(公告)日:2025-01-30
申请号:US18778546
申请日:2024-07-19
Applicant: Perfect Mobile Corp.
Inventor: Hsin-Yi PENG , Chih-Yu CHENG
Abstract: A computing device obtains an image depicting a watch and performs segmentation on the watch in the image to generate a segmented watch region comprising a watch case region, a first watch strap region, and a second watch strap region. The computing device generates a three-dimensional (3D) mesh according to the watch case region, the first watch strap region, the second watch strap region, and a pre-defined skeleton containing at least one straight part and at least two curved parts. The computing device generates texture attributes according to the segmented watch and applies the texture attributes to the 3D mesh to generate a textured 3D watch object. The computing device renders the textured 3D watch object in an augmented reality display.
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公开(公告)号:US20250032086A1
公开(公告)日:2025-01-30
申请号:US18225811
申请日:2023-07-25
Applicant: GE Precision Healthcare LLC
Inventor: Stephan Anzengruber , Balint Czupi , Pavan Kumar V. Annangi , Deepa Anand , Bhushan Patil , Cindy L. Smrt , Martin Swoboda
Abstract: Systems and methods for enhancing visualization and documentation of fibroid quantity, size, and location with respect to a uterus and endometrium in ultrasound imaging are provided. The method includes receiving, by at least one processor, an ultrasound volume including ultrasound image data of a region of interest that includes a uterus. The method includes automatically segmenting, by the at least one processor, the uterus and an endometrium in the ultrasound volume. The method includes segmenting one or more fibroids in the ultrasound image data. The method includes generating a classification of each of the one or more fibroids based on a location of each of the one or more fibroids with respect to the endometrium and the uterus. The method includes causing, by the at least one processor, a display system to present at least one image identifying the segmented uterus, endometrium, and one or more fibroids.
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公开(公告)号:US20250029260A1
公开(公告)日:2025-01-23
申请号:US18771929
申请日:2024-07-12
Inventor: Jayaram K. Udupa , You Hao , Chao Jin , Yubing Tong , Dewey Odhner , Drew A. Torigian , Tiange Liu
Abstract: Methods and systems are described for recognizing and delineating an object of interest in imaging data. Artificial intelligence and natural intelligence may be combined through a plurality of models configured to locate a body region, trim imaging data, perform fuzzy object recognition, detect boundary areas, modify the fuzzy object models using the boundary areas, and delineate the objects.
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