专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

61. 发明专利

IL281241B Augmented reality display device with deep learning sensors 未知
公开(公告)号：IL281241B
公开(公告)日：2022-08-01
申请号：IL28124121
申请日：2021-03-03
申请人： MAGIC LEAP INC
IPC分类号： A63F13/00 , A63F13/211 , A63F13/212 , A63F13/213 , A63F13/428 , G02B27/01 , G06V10/44 , G06V10/82 , G06V20/20 , G06V40/16
摘要： A head-mounted augmented reality (AR) device can include a hardware processor programmed to receive different types of sensor data from a plurality of sensors (e.g., an inertial measurement unit, an outward-facing camera, a depth sensing camera, an eye imaging camera, or a microphone); and determining an event of a plurality of events using the different types of sensor data and a hydra neural network (e.g., face recognition, visual search, gesture identification, semantic segmentation, object detection, lighting detection, simultaneous localization and mapping, relocalization).

62. 发明专利

IL271929B Training a neural network with representations of user interface devices 未知
公开(公告)号：IL271929B
公开(公告)日：2022-07-01
申请号：IL27192920
申请日：2020-01-09
申请人： MAGIC LEAP INC
IPC分类号： G02B27/01 , G06T19/00 , G06V10/44 , G06V20/10 , G06V20/20 , G06V40/20
摘要： Disclosed herein are examples of a wearable display system capable of determining a user interface (UI) event with respect to a virtual UI device (e.g., a button) and a pointer (e.g., a finger or a stylus) using a neural network. The wearable display system can render a representation of the UI device onto an image of the pointer captured when the virtual UI device is shown to the user and the user uses the pointer to interact with the virtual UI device. The representation of the UI device can include concentric shapes (or shapes with similar or the same centers of gravity) of high contrast. The neural network can be trained using training images with representations of virtual UI devices and pointers.

63. 发明专利

AU2017365608B2 Method and a system for creating a medical image database by means of a convolutional neural network 未知
公开(公告)号：AU2017365608B2
公开(公告)日：2022-05-26
申请号：AU2017365608
申请日：2017-11-23
申请人： CONTEXTFLOW GMBH
发明人： DONNER RENE
IPC分类号： G06V10/44 , G06F16/55 , G16H30/20 , G16H30/40
摘要： The invention relates to a method for creating a medical image database, a) wherein data records (1a, 1b, 1c) are created that comprise component images (3a, 3b, 3c) of two- or multidimensional initial images (4a, 4b, 4c) of parts of the human body, b) a projection to obtain feature vectors (6a, 6b, 6c) is created from the component images (3a, 3b, 3c), wherein to prepare for the execution of the projection a neural network is created on the basis of prescribed learning component images, the data records (1a, 1b, 1c) being used as part of a metric learning method to learn the projection and the creation of the feature vectors (6a, 6b, 6c) from learning component images. This is accomplished, by way of example, by prescribing learning component images that are slightly shifted, rotated, distorted or elongated in relation to one another and have been created from the same initial image (4a, 4b, 4c) as similar. c) The component images (3a, 3b, 3c) of the data records (1a, 1b, 1c) have the projection applied to them and a respective feature vector is obtained, d) wherein the feature vectors created in this manner are stored in an index data structure.

64. 发明专利

IL291381D0 Histological image analysis 未知
公开(公告)号：IL291381D0
公开(公告)日：2022-05-01
申请号：IL29138122
申请日：2022-03-15
申请人： OSLO UNIV
IPC分类号： G06V10/26 , G06V10/44 , G06V10/82 , G06V20/69 , G06V30/24
摘要： A computer implemented system for determining an overall-classifier for one or more source-histological-images. The system comprising: a first tile generator (204) configured to generate a plurality of first-tiles (206; 306) from the one or more source-histological-image (202; 302); and a second tile generator (205) configured to generate a plurality of second-tiles (207; 307) from the one or more source- histological-images (202; 302). The first-area of the first-tiles (206; 306) is larger than the second-area of the second-tiles (207; 307); and the second-resolution of the second-tiles (207; 307) is higher than the first-resolution of the first-tiles (206; 306). The system also includes a machine-learning network (211; 311) configured to process the plurality of first-tiles (206; 306) in order to determine a first-classifier (218; 318); a machine-learning network (215; 311) configured to process the plurality of second-tiles (207; 307) in order to determine a second-classifier (219; 319); and a classifier combiner configured to combine the first-classifier (218; 318) and the second-classifier (219; 319) to determine the overall-classifier (232; 332).

65. 发明专利

RU2769652C2 ОБРАБОТКА МЕЛЬЧАЙШИХ ДЕТАЛЕЙ ЦИФРОВЫХ ДАННЫХ ДЛЯ АНАЛИЗА КУЛЬТУРНЫХ АРТЕФАКТОВ 未知
公开(公告)号：RU2769652C2
公开(公告)日：2022-04-04
申请号：RU2019136626
申请日：2018-05-16
申请人： GELDENKHEJS ALBERTUS BAREND
发明人： GELDENKHEJS ALBERTUS BAREND
IPC分类号： G06V10/22 , G06V10/32 , G06V10/44
摘要： Изобретениеотноситсяк областиинформационныхтехнологий, аименнок средстваманализакультурныхартефактов. Техническийрезультатнаправленнаповышениеточностиобработкимельчайшихдеталейартефактов. Способанализацелевогокультурногоартефактавключаетсканированиецелевогоартефактапосредствомустройствадляформированиямультимодальногоцифровогоизображения, алгоритмическоепреобразованиекомпозиционноймоделицифровыхцелевыхданныхдляполученияцелевогоцифровогопреобразования, анализцелевогоцифровогопреобразованиядляидентификациии выборамельчайшихдеталейцелевыхцифровыхданныхизданныхцелевогоцифровогопреобразования, извлечениеи сохранениевыбранныхмельчайшихдеталейцелевыхцифровыхданныхв хранилищецелевыхцифровыхданных. 2 н. и 3 з.п. ф-лы.

66. 发明专利

IL289728D0 Object detection and instance segmentation of 3d point clouds based on deep learning 未知
公开(公告)号：IL289728D0
公开(公告)日：2022-03-01
申请号：IL28972822
申请日：2022-01-10
申请人： PROMATON HOLDING BV
IPC分类号： G06V10/25 , G06V10/44 , G06V10/82 , G06V20/64
摘要： A method of object detection in a point cloud, preferably an intra-oral scanning (IOS) point cloud, is described wherein the method includes: determining first features associated with points of a point cloud, the point cloud including points representing one or more objects in at least a 3D space of the point cloud, the first features defining geometrical information for each point of the point cloud; transforming, by a first type of deep neural network, the first point cloud features into second point cloud features, the second point cloud features defining local geometrical information about the point cloud at the positions of nodes of a 3D grid spanning the 3D space of the point cloud; generating, by the first type of deep neural network, one or more object proposals based on the second features, an object proposal defining a 3D bounding box positioned around a node of the 3D grid, the 3D bounding box containing points of the point cloud that may define an object, the 3D bounding box defining a 3D anchor; and, determining, by a second type of deep neural network, a score for the 3D anchor, the score indicating a probability that the 3D anchor includes points defining an object or part of an object, the determining being based on second features that are located in the 3D anchor.

67. 发明专利

AU2020317987A1 Assay reading method 未知
公开(公告)号：AU2020317987A1
公开(公告)日：2022-02-24
申请号：AU2020317987
申请日：2020-04-22
申请人： FORSITE DIAGNOSTICS LTD
发明人： ADSUL NEERAJ , TOKARZEWSKI MARCIN
IPC分类号： G01N33/558 , G06V10/22 , G06V10/44
摘要： A computer implemented method for reading a test region of an assay, the method comprising: (i) providing digital image data of a first assay; (ii) inputting the digital image data into a trained convolutional neural network configured to output a first probability, based on the input digital image data, that a first region of pixels of the digital image data corresponds to a first test region of the assay; (iii) if the first probability is at or above a first predetermined threshold, accepting the first region of pixels as a first region of interest associated with the first test region; and (iv) estimating an intensity value of a portion of the first test region in the first region of interest.

68. 发明专利

CA3145441A1 SLAP SEGMENTATION OF CONTACTLESS FINGERPRINT IMAGES 未知
公开(公告)号：CA3145441A1
公开(公告)日：2021-01-07
申请号：CA3145441
申请日：2020-06-29
申请人： THALES DIS FRANCE SAS
发明人： DING YI , WANG ANNE JINSONG , LI SONGTAO LESTER
IPC分类号： G06V40/12 , G06V10/26 , G06V10/44 , G06V40/13
摘要： The present invention relates to a method to segment slap images and to generate accurately labelled individual fingerprints, said method comprising the following steps: - reception of inputs images from a contactless fingerprint reader under controlled lighting conditions; - computation of a variance in the received images to estimate a slap area as a foreground slap mask in the input images; - identification of individual fingers by finding boundary of each finger; - verification of a number of fingers and of geometric constraints; - calculation of pose and orientation based on shape and geometry information; - identification of effective fingertip area on each detected finger according the pose, orientation, as well as geometric information; - output of individual fingerprints.

69. 发明专利

IL297889A Equalization-based image processing and spatial crosstalk attenuator 未知
公开(公告)号：IL297889A
公开(公告)日：2023-01-01
申请号：IL29788922
申请日：2022-11-02
申请人： ILLUMINA INC
IPC分类号： G06V10/28 , G06V10/30 , G06V10/42 , G06V10/44 , G06V10/762 , G06V20/69 , G16B40/10 , G16B40/20
摘要： The technology disclosed relates to equalizer-based intensity correction for base calling. In particular, the technology disclosed relates to accessing an image whose pixels depict intensity emissions from a target cluster and intensity emissions from additional adjacent clusters, selecting a lookup table that contains pixel coefficients that are configured to increase a signal-to-noise ratio, applying the pixel coefficients to intensity values of the pixels in the image to produce an output, and base calling the target cluster based on the output.

70. 发明专利

CA3162655A1 IMAGE PROCESSING BASED METHODS AND APPARATUS FOR PLANOGRAM COMPLIANCE 未知
公开(公告)号：CA3162655A1
公开(公告)日：2022-12-24
申请号：CA3162655
申请日：2022-06-13
申请人： WALMART APOLLO LLC
发明人： KARMAKAR SOMEDIP , CHAKRABORTY SOURADIP , MISHRA ABHISHEK
IPC分类号： G06V10/74 , G06T7/73 , G06V10/26 , G06V10/44 , G06V30/19
摘要： This application relates to automated processes for determining item placement compliance within retail locations. For example, a computing device may obtain an image of a fixture within a store. The image may be captured by a camera with a field of view directed at the fixture. The computing device may apply a segmentation process to the image to determine a portion of the image. Further, the computing device may determine a correlation between the portion of the image and each of a plurality of item image templates. Each item image template may include an image of an item the retail location sells in the retail location. The computing device may determine, based on the correlations, one of the plurality of item image templates and its corresponding item. The computing device may then determine whether the item should be located at the fixture based on a planogram.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式