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1.发明公开公开(公告)号：US20240355456A1
公开(公告)日：2024-10-24
申请号：US18617890
申请日：2024-03-27
Applicant: GENGENAI, INC
Inventor： Hojin Cho , Sangil Kim , Hoyeong Heo
Abstract: Provided is a method for training a generative model for medical images associated with a plurality of body parts, which is performed by one or more processors and includes receiving training medical image data, acquiring label data associated with the training medical image data, and training a generative model for medical images based on the training medical image data and the acquired label data.
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公开(公告)号：US12125194B2
公开(公告)日：2024-10-22
申请号：US18107077
申请日：2023-02-08
Applicant: Evident CORPORATION
Inventor： Yohei Sakamoto
CPC classification number: G06T7/001 , G06T7/248 , G06T15/00 , G06T2207/10016 , G06T2207/10068 , G06T2207/30164 , G06T2207/30244 , H04N23/555
Abstract: A three-dimensional data generation method includes the following processing. A processor acquires two or more images of a component inside a turbine. The processor detects two or more correspondence regions that are the same regions in at least two images. The processor determines whether at least part of a region of each image is a change region or a non-change region. The processor generates three-dimensional data by using a correspondence region determined to be the change region without using a correspondence region determined to be the non-change region.
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公开(公告)号：US20240346668A1
公开(公告)日：2024-10-17
申请号：US18634088
申请日：2024-04-12
Inventor： Amaury LEROY , Eric DEUTSCH , Vincent GREGOIRE , Nikos PARAGIOS
CPC classification number: G06T7/30 , G06T7/0012 , G06T7/11 , G06T15/00 , G06V10/761 , G16H30/40 , G06T2207/20081 , G06T2207/30008 , G06T2207/30196
Abstract: A computer-implemented method for generating a registered image (Breg) based on at least one first image of an object compliant with a source imaging modality and on at least one second image of the object compliant with a target imaging modality. The object may include a human body part, and the structures of interest may include stiff regions such as bones, cartilage, or tendons.
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公开(公告)号：US12118685B2
公开(公告)日：2024-10-15
申请号：US18378264
申请日：2023-10-10
Applicant: Apple Inc.
Inventor： Jean-Charles Bernard Marcel Bazin , Anselm Grundhoefer , Bart Trzynadlowski , Thomas J. Moore
CPC classification number: G06T19/006 , G06T7/70 , G06T15/00 , G06T2207/20081 , G06T2207/30244
Abstract: Various implementations disclosed herein include devices, systems, and methods that provide XR in which virtual objects are positioned based on the accuracy of localizing an electronic device in a physical environment. In some implementations, the technique assesses the accuracy of localization (e.g., centimeter-level accuracy, room-level accuracy, and building-level accuracy) and dynamically adjusts a display strategy. In some implementations, the technique determines a condition causing inaccuracy (e.g., a semantic condition such as “too fast”, “too far”, “too dark”), and provides a notification (e.g., “too fast-slow down”, “too far-move closer”, “too dark-turn on a light”) at the electronic device based on the condition causing the inaccuracy in the localization.
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公开(公告)号：US20240338883A1
公开(公告)日：2024-10-10
申请号：US18746235
申请日：2024-06-18
Applicant: Imagination Technologies Limited
Inventor： Luke T. Peterson , Justin P. DeCell , Jens Fursund
CPC classification number: G06T15/06 , G06T15/00 , G06T15/005 , G06T15/04 , G06T15/506 , G06T2215/12 , G06T2215/16
Abstract: A light map for a scene is determined for use in rendering the scene in a graphics processing system. Initial lighting indications representing lighting within the scene are determined. For a texel position of the light map, the initial lighting indications are sampled using an importance sampling technique to identify positions within the scene. Sampling rays are traced between a position in the scene corresponding to the texel position of the bounce light map and the respective identified positions with the scene. A lighting value is determined for the texel position of the light map using results of the tracing of the sampling rays. By using the importance sampling method described herein, the rays which are traced are more likely to be directed towards more important regions of the scene which contribute more to the lighting of a texel.
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公开(公告)号：US20240338878A1
公开(公告)日：2024-10-10
申请号：US18625491
申请日：2024-04-03
Applicant: Datum Point Labs Inc.
Inventor： Jeong-gi Kwak , Hanseok Ko
CPC classification number: G06T15/00 , G06T11/001
Abstract: Embodiments described herein provide systems and methods for 3D-aware image generation. A system receives, via a data interface, a plurality of control parameters and a view direction. The system generates a plurality of predicted densities based on a plurality of positions and the plurality of control parameters. The densities may be predicted by applying a series of modulation blocks, wherein each block modulates a vector representation based on control parameters that are used to generate frequency values and phase shift values for the modulation. The system generates an image based on the plurality of predicted densities and the view direction.
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公开(公告)号：US20240337824A1
公开(公告)日：2024-10-10
申请号：US18629189
申请日：2024-04-08
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Neerja Aggarwal , Laura Waller , Yashovardhan Raniwala , Eric Markley , Kristina Monakhova
CPC classification number: G02B21/365 , G02B27/0938 , G06T15/00 , H04N23/55
Abstract: A snapshot hyperspectral imaging camera assembly and processing methods are provided that has a higher achievable resolution than a traditional snapshot imager. The camera assembly is compact and can be attached to the output port of any traditional benchtop microscope. This camera assembly has a relay lens that relays the Fourier plane from the microscope onto a phase mask that encodes the spatial information of the target, and a spectral filter array that encodes the spectral information of the target. Measurements are processed with a compressed sensing algorithm and an optimization algorithm to reconstruct a 3D hypercube from 2D intensity measurements.
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公开(公告)号：US12112440B2
公开(公告)日：2024-10-08
申请号：US17919304
申请日：2021-12-17
Applicant: Wael Zohni
Inventor： Wael Zohni
CPC classification number: G06T19/006 , G01S17/89 , G02B27/0172 , G06F3/012 , G06F3/015 , G06T15/00 , G02B2027/0187
Abstract: A Mixed-Reality visor (MR-visor) system and method utilizing environmental sensor feedback for replicating restricted external visibility during operation of manned vehicles, such as marine or aircraft. Adaptive hardware and software enable the user to reliably limit, modify and/or block views outside window(s) areas of the vehicle while maintaining visibility of the cabin interior and instrument control panel(s) without need for complex mechanical hardware alignment and setup. In the case of aircraft pilot training, the MR-visor can be worn by a pilot to replicate Instrument Meteorological Conditions (IMC) and other challenging scenarios.
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9.发明公开
公开(公告)号：US20240331155A1
公开(公告)日：2024-10-03
申请号：US18594475
申请日：2024-03-04
Applicant: Tomocube, Inc.
Inventor： Jaephil DO , Sumin LEE , Hye-Jin KIM
CPC classification number: G06T7/0014 , G01N21/6428 , G06T15/00 , G01N2021/6439 , G06T2200/04 , G06T2207/10064 , G06T2207/20036 , G06T2207/30024 , G06T2210/41
Abstract: Disclosed are a method and apparatus for detecting mycoplasma using the measurement of a 3-D quantitative phase image. The method of detecting mycoplasma may include generating a three-dimensional (3-D) quantitative phase image of a sample by characterizing the sample by making quantitative a phase shift derived from light that passes through the sample, and determining whether the sample has been infected with mycoplasma by analyzing behavioral characteristics of the generated 3-D quantitative phase image.
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公开(公告)号：US12105770B2
公开(公告)日：2024-10-01
申请号：US17191771
申请日：2021-03-04
Applicant: KABUSHIKI KAISHA TOSHIBA
Inventor： Norihiro Nakamura , Akihito Seki
IPC: G06F18/211 , G06F18/214 , G06F18/25 , G06N3/08 , G06T15/00 , G01S17/66
CPC classification number: G06F18/211 , G06F18/214 , G06F18/251 , G06N3/08 , G06T15/00 , G01S17/66 , G06T2210/52
Abstract: According to an embodiment, an estimation device includes one or more processors configured to: generate, from first point cloud data, second point cloud data obtained by combining an attention point and observation points; estimate an attribute of the attention point by an attribute indicated by an estimation result label having a higher belonging probability among belonging probabilities output from an attribute estimation neural network; estimate reliability of the estimation result label by a reliability estimation neural network; and display, on a display device, first display information generated by performing rendering on an object including an attention point whose attribute is estimated by an attribute of the estimation result label whose reliability is higher than a first threshold, and generated by not performing rendering on an object including an attention point whose attribute is estimated by an attribute of the estimation result label whose reliability is the first threshold or less.
