利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

32 条记录 (耗时 0.013 秒)

    METHOD AND SYSTEM FOR OBTAINING HUMAN BODY SIZE INFORMATION FROM IMAGE DATA
    1.
    发明申请
    METHOD AND SYSTEM FOR OBTAINING HUMAN BODY SIZE INFORMATION FROM IMAGE DATA 审中-公开

    公开(公告)号：WO2022269219A1

    公开(公告)日：2022-12-29

    申请号：PCT/GB2022/051058

    申请日：2022-04-26

    申请人： AISTETIC LIMITED

    发明人： ZHU, Dizhong ,  SMITH, William ,  MCKAY, Duncan ,  TORR, Philip ,  BABAEE, Mohammadreza ,  LI, Qizhu

    IPC分类号： G06T7/73 ,  G06T7/62 ,  G06T2207/20084 ,  G06T2207/30196 ,  G06T7/11 ,  G06T7/74 ,  G06T7/75 ,  G06T7/80

    摘要： A computer implemented method of obtaining measurements of a person is disclosed herein. The method comprises obtaining a parametric deformable three-dimensional body model that can approximate the shape of any person, obtaining at least one image of the person, estimating one or more correspondences between the at least one image and the three-dimensional model, performing semantic image segmentation to segment the image of the person into their corresponding body parts, and iteratively adjusting at least one of (a) body pose and (b) shape parameters of the parametric deformable three-dimensional body model, to improve the fit of the three-dimensional model to at least one of: (i) the at least one image, (ii) the estimated one or more correspondences, and (iii) the segmented body parts. Measurements may then be extracted from the iteratively adjusted parametric deformable three-dimensional body model.

    TRACKING AN AUGMENTED REALITY DEVICE
    3.
    发明申请
    TRACKING AN AUGMENTED REALITY DEVICE 审中-公开

    公开(公告)号：WO2021247362A1

    公开(公告)日：2021-12-09

    申请号：PCT/US2021/034517

    申请日：2021-05-27

    申请人： SNAP INC.

    发明人： PAN, Qi ,  ROSTEN, Edward James ,  SPEK, Andrew Tristan ,  TANATHONG, Supannee

    IPC分类号： G06T19/00 ,  G06T1/20 ,  G01P15/00 ,  G06T19/006 ,  G06T2207/10016 ,  G06T7/70 ,  G06T7/75

    摘要： An augmented reality device generates an updated position and orientation (pose) value by initially determining, using image-based processing, a pose estimate from a current image frame, a previous image frame and a previous pose. An IMU pose is then obtained from data generated by an inertial measurement unit including motion sensors, and transformation between the pose estimate and the IMU pose is determined. The transformation is applied to the pose estimate to generate a pose update. Media content is applied to a position within an image, the position being based on the pose update.

    抓取网络训练方法、系统、电子设备及存储介质
    5.
    发明申请
    抓取网络训练方法、系统、电子设备及存储介质 审中-公开

    公开(公告)号：WO2023273179A1

    公开(公告)日：2023-01-05

    申请号：PCT/CN2021/136973

    申请日：2021-12-10

    申请人： 达闼科技（北京）有限公司

    发明人： 彭飞 ,  孟祥宇 ,  马世奎

    IPC分类号： G06K9/00 ,  G06N3/04 ,  G06N3/08 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30244 ,  G06T7/75

    摘要： 本申请实施例涉及机器人技术领域，公开了一种抓取网络训练方法、系统、电子设备及存储介质。抓取网络训练方法包括：获取包含目标物体的深度图和所述目标物体的抓取点信息；将所述深度图和所述抓取点信息输入预设的抓取网络，获取所述目标物体的抓取路径；将所述抓取路径发送至预设的用于模拟所述抓取路径的虚幻引擎，并接收所述虚幻引擎模拟所述抓取路径返回的所述目标物体的抓取结果；根据所述抓取结果修改所述抓取网络的网络参数，对所述抓取网络进行训练。可以通过使用虚拟引擎模拟抓取网络生成的抓取路径所返回的抓取结果来对抓取网络进行训练，使得本申请可以在降低抓取网络训练成本的同时提高训练效率。

    IMAGE PROCESSING SYSTEM AND METHOD
    6.
    发明申请
    IMAGE PROCESSING SYSTEM AND METHOD 审中-公开

    公开(公告)号：WO2021198666A1

    公开(公告)日：2021-10-07

    申请号：PCT/GB2021/050771

    申请日：2021-03-29

    申请人： IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

    发明人： WADA, Kentaro ,  SUCAR ESCAMILLA, Edgar Antonio ,  JAMES, Stephen Lloyd ,  LENTON, Daniel James ,  DAVISON, Andrew

    IPC分类号： G06T7/00 ,  G06T7/70 ,  G06T7/73 ,  G06K9/00671 ,  G06T2200/04 ,  G06T2200/08 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/20016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30244 ,  G06T7/0004 ,  G06T7/75

    摘要： A computer-implemented method of determining a pose of each of a plurality of objects in a three-dimensional scene includes, for each given object of the plurality of objects: obtaining image data and associated depth information representing a view of the three-dimensional scene in which at least a part of the given object is visible; and processing the image data and the associated depth information to estimate a pose of the given object. The method further includes iteratively updating the estimated poses of the plurality of objects, wherein the updating includes: sampling, for each given object of the plurality of objects, a plurality of points from a predetermined model of the given object transformed in accordance with the estimated pose of the given object; determining respective first occupancy data for each given object of the plurality of objects dependent on positions of the points sampled from the predetermined model of the given object, relative to a voxel grid containing the given object; determining respective second occupancy data for each given object of the plurality of objects dependent on positions of the points sampled from the predetermined models of the other objects of the plurality of objects, relative to the voxel grid containing the given object; and updating the estimated poses of the plurality of objects to reduce an occupancy penalty depending on the respective first occupancy data and the respective second occupancy data for each of the plurality of objects.

    METHODS AND DEVICES FOR DETERMINING A LOCATION ASSOCIATED WITH A GEMSTONE
    7.
    发明申请
    METHODS AND DEVICES FOR DETERMINING A LOCATION ASSOCIATED WITH A GEMSTONE 审中-公开

    公开(公告)号：WO2021140022A1

    公开(公告)日：2021-07-15

    申请号：PCT/EP2020/087536

    申请日：2020-12-21

    申请人： OPSYDIA LTD

    发明人： HENLEY, Simon John ,  PEASE, Jonathan Robert

    IPC分类号： G06K9/46 ,  G06K9/62 ,  G06K9/32 ,  G06K9/00 ,  A44C17/001 ,  G01N21/87 ,  G06K9/00201 ,  G06K9/00771 ,  G06K9/3233 ,  G06K9/4604 ,  G06K9/6271 ,  G06N3/02 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2219/004 ,  G06T7/75

    摘要： The present disclosure relates to a computer - implemented method, devices and systems for determining a location associated with a gemstone. That method includes training a data model to detect a characteristic associated with a feature of interest pertaining to a gemstones surface. The training including the steps of providing a plurality of training images of gemstones, each training image associated with a label for a feature of interest pertaining to a given region of a gemstone type and an output indicating the specific gemstone type for the label. An input image of a gemstone for which a location is to be determined is then provided to the trained data model, wherein the data model detects at least one characteristic in the input image that corresponds to a feature of interest in the plurality of training images, determines that characteristic in the input image is associated with the label in the trained data model that corresponds to said feature of interest, identifies that the gemstone in the input image is of the specific gemstone type associated with said label, and finally provides an output representation of the respective feature of interest of the respective region for the identified specific gemstone type. Then, based on the output representation, a location on a corresponding region of the gemstone associated with the input image can be determined

    OBTAINING ARTIST IMAGERY FROM VIDEO CONTENT USING FACIAL RECOGNITION
    9.
    发明申请
    OBTAINING ARTIST IMAGERY FROM VIDEO CONTENT USING FACIAL RECOGNITION 审中-公开

    公开(公告)号：WO2021061511A8

    公开(公告)日：2021-04-01

    申请号：PCT/US2020/051414

    申请日：2020-09-18

    申请人： GRACENOTE, INC.

    发明人： SCOTT, Jeffrey ,  VARTAKAVI, Aneesh

    IPC分类号： G06K9/00 ,  G06K9/62 ,  G06N20/00 ,  G06F16/784 ,  G06T7/75 ,  G06V20/46 ,  G06V40/171 ,  G06V40/172 ,  G06V40/173

    摘要： An example method may include applying an automated face detection program implemented on a computing device to a plurality of training digital images associated with a particular TV program to identify a sub-plurality of the training digital images, each containing a single face of a particular person associated with the particular TV program. A set of feature vectors determined for the sub -plurality may be used to train a computational model of a face recognition program for recognizing the particular person in any given digital image. The face recognition program and the computational model may be applied to a runtime digital image associated with the particular TV program to recognize the particular person in the runtime digital image, together with geometric coordinates. The runtime digital image may be stored together with information identifying the particular person and corresponding geometric coordinates of the particular person in the runtime digital image.