公开(公告)号：US12130499B2

公开(公告)日：2024-10-29

申请号：US18159274

申请日：2023-01-25

申请人： Bespoke, Inc.

发明人： Eric J. Varady ,  Robert Varady ,  Wyatt Eberspacher

IPC分类号： G02C13/00 ,  G06F30/17 ,  G06T19/20 ,  G06V10/44 ,  G06V20/64 ,  G06V40/16 ,  G06F111/04

CPC分类号： G02C13/003 ,  G02C13/005 ,  G06F30/17 ,  G06T19/20 ,  G06V10/44 ,  G06V20/653 ,  G06V40/171 ,  G06F2111/04 ,  G06T2219/2016

摘要： Systems and methods are disclosed for generating a 3D computer model of an eyewear product, using a computer system, the method including obtaining an inventory comprising a plurality of product frames; scanning a user's anatomy; extracting measurements of the user's anatomy; obtaining a first model of a contour and/or surface of the user's anatomy, based on the extracted measurements of the user's anatomy; identifying, based on the contour and/or the surface of the user's anatomy, a first product frame among the plurality of product frames; determining adjustments to the first product frame based on the contour and/or the surface of the user's anatomy; generating a second model rendering comprising the adjusted first product frame matching the contours and/or the surface of the user's anatomy.

公开(公告)号：US20240242519A1

公开(公告)日：2024-07-18

申请号：US18620017

申请日：2024-03-28

申请人： COSMIC WIRE

发明人： Amit CHACHEK

IPC分类号： G06V20/64 ,  G06F18/22 ,  G06T7/20 ,  G06T13/40 ,  G06T15/08 ,  G06T17/10 ,  G06T17/20 ,  G06T19/20 ,  G06V10/75 ,  G06V40/20

CPC分类号： G06V20/653 ,  G06F18/22 ,  G06T7/20 ,  G06T13/40 ,  G06T15/08 ,  G06T17/10 ,  G06T17/20 ,  G06T17/205 ,  G06T19/20 ,  G06V10/754 ,  G06V40/23 ,  G06T2200/08

摘要： Device, system, and method of generating a reduced-size volumetric dataset. A method includes receiving a plurality of three-dimensional volumetric datasets that correspond to a particular object; and generating, from that plurality of three-dimensional volumetric datasets, a single uniform mesh dataset that corresponds to that particular object. The size of that single uniform mesh dataset is less than ¼ of the aggregate size of the plurality of three-dimensional volumetric datasets. The resulting uniform mesh is temporally coherent, and can be used for animating that object, as well as for introducing modifications to that object or to clothing or garments worn by that object.

公开(公告)号：US20240193860A1

公开(公告)日：2024-06-13

申请号：US18444186

申请日：2024-02-16

申请人： Hover Inc.

发明人： Derek Halliday ,  Antonio Carlos Marques da Silva Junior ,  Roberto Klein ,  Adam J. Altman

IPC分类号： G06T17/00 ,  G06F3/14 ,  G06F30/13 ,  G06F30/23 ,  G06T15/04 ,  G06T15/20 ,  G06T17/05 ,  G06T19/00 ,  G06T19/20 ,  G06V20/10 ,  G06V20/64

CPC分类号： G06T17/00 ,  G06F3/14 ,  G06F30/13 ,  G06F30/23 ,  G06T15/04 ,  G06T15/20 ,  G06T17/05 ,  G06T19/003 ,  G06T19/20 ,  G06V20/176 ,  G06V20/653 ,  G06T2200/08 ,  G06T2200/24 ,  G06T2207/10028 ,  G06T2210/04 ,  G06T2210/56 ,  G06T2219/004 ,  G06T2219/2008 ,  G06T2219/2016

摘要： A system and method is provided for constructing a labeled and dimensioned multidimensional (e.g., 3D) building model from building object imagery (e.g., ground-level imagery). The method begins by retrieve building object imagery, the building object imagery collected based on directed capture with a mobile device. The method continues by constructing a scaled multi-dimensional building model, the scale based on sizing of at least one selected architectural feature. The method continues by identifying architectural elements within facades of the multi-dimensional building model. The method continues by determining dimensions of at least one of the architectural elements, the dimensions based on the scale. The method continues by determining dimensions (e.g., area) of at least one of the architectural elements. The method continues by labeling each identified architectural element with at least an identifier and by labeling at least one of the architectural elements with the determined dimensions.

公开(公告)号：US12008824B2

公开(公告)日：2024-06-11

申请号：US17357346

申请日：2021-06-24

申请人： AUTEL ROBOTICS CO., LTD.

发明人： Xin Zheng

IPC分类号： G06T7/521 ,  B64C39/02 ,  G01S17/894 ,  G06T7/70 ,  G06V10/75 ,  G06V20/13 ,  G06V20/64 ,  B64U50/00 ,  B64U101/30

CPC分类号： G06V20/653 ,  B64C39/024 ,  G01S17/894 ,  G06T7/521 ,  G06T7/70 ,  G06V10/757 ,  G06V20/13 ,  B64U50/00 ,  B64U2101/30 ,  G06T2207/10028

摘要： The present invention relates to a target positioning method and device, and an unmanned aerial vehicle. The method includes: acquiring a target image through an image acquisition device; acquiring the position information of a target in the target image according to the target image; acquiring original point clouds of an environment in front of the unmanned aerial vehicle through a depth sensor; acquiring the point clouds corresponding to the target in the original point clouds according to the original point clouds and the position information of the target in the target image; and acquiring the position information of the target in a three-dimensional space according to the point clouds corresponding to the target.

公开(公告)号：US20240161518A1

公开(公告)日：2024-05-16

申请号：US18417887

申请日：2024-01-19

申请人： Alitheon, Inc.

发明人： David Justin Ross ,  Will Charles Shannon ,  Cheng Qian ,  Robert S. Ross

IPC分类号： G06V20/64 ,  G06T1/00 ,  G06V10/74 ,  G06V20/80

CPC分类号： G06V20/653 ,  G06T1/0064 ,  G06V10/761 ,  G06V20/80 ,  G06T2200/04

摘要： Digital fingerprints include data indicative of interior features or structures of an object. The physical object may be rigid or malleable. The digital fingerprints may also include data indicative of features on an exterior surface of the object. Digital fingerprints may uniquely identify an object with respect to other objects, even with respect to other objects of a same type or class of objects. The technology may be relatively invariant to changes in scale, rotation, affine, homography, perspective, and illumination as between a reference digital fingerprint and a later acquired or generated digital fingerprint. Digital fingerprints may be used to authenticate an object as being a second instance or appearance of a previously digitally fingerprinted object.

公开(公告)号：US11962876B2

公开(公告)日：2024-04-16

申请号：US17393227

申请日：2021-08-03

申请人： Digimarc Corporation

发明人： Ravi K. Sharma ,  Tomas Filler ,  Vojtech Holub ,  Osama M. Alattar ,  Hugh L. Brunk ,  John D. Lord ,  Matthew M. Weaver ,  William Y. Conwell

IPC分类号： G06K9/00 ,  B29B17/02 ,  G06F21/16 ,  G06Q10/30 ,  G06V10/141 ,  G06V10/143 ,  G06V10/60 ,  G06V20/64 ,  G09C5/00 ,  H04N21/2389 ,  H04N21/44 ,  H04N21/8358 ,  H04N23/00 ,  B29K23/00 ,  B29K67/00 ,  B29L31/00

CPC分类号： H04N23/00 ,  B29B17/02 ,  G06F21/16 ,  G06Q10/30 ,  G06V10/141 ,  G06V10/143 ,  G06V10/60 ,  G06V20/653 ,  G09C5/00 ,  H04N21/23892 ,  H04N21/44008 ,  H04N21/8358 ,  B29B2017/0203 ,  B29B2017/0279 ,  B29B2017/0282 ,  B29K2023/065 ,  B29K2067/003 ,  B29L2031/7158 ,  H04L2209/34 ,  H04L2209/608 ,  Y02W30/62 ,  Y02W30/82 ,  Y02W90/00

摘要： A plastic item, such as a beverage bottle, conveys two distinct digital watermarks, encoded using two distinct signaling protocols. A first, printed label watermark conveys a retailing payload, including a Global Trade Item Number (GTIN) used by a point-of-sale scanner in a retail store to identify and price the item when presented for checkout. A second, plastic texture watermark conveys a recycling payload, including data identifying the composition of the plastic. The use of two different signaling protocols assures that a point-of-sale scanner will not spend its limited time and computational resources working to decode the recycling watermark, which lacks the data needed for retail checkout. In some embodiments, a recycling apparatus makes advantageous use of both types of watermarks to identify the plastic composition of the item (e.g., relating GTIN to plastic type using an associated database), thereby increasing the fraction of items that are correctly identified for sorting and recycling. A great number of other features and arrangements are also detailed.

公开(公告)号：US11941499B2

公开(公告)日：2024-03-26

申请号：US17762102

申请日：2019-10-16

申请人： Hewlett-Packard Development Company, L.P.

发明人： Qian Lin ,  Augusto Cavalcante Valente ,  Deangeli Gomes Neves ,  Guilherme Augusto Silva Megeto

IPC分类号： G06N20/00 ,  G06T7/20 ,  G06T7/73 ,  G06T11/00 ,  G06V20/64

CPC分类号： G06N20/00 ,  G06T7/20 ,  G06T7/75 ,  G06T11/00 ,  G06V20/647 ,  G06V20/653 ,  G06T2200/04 ,  G06T2207/20081

摘要： Examples of methods for training using rendered images are described herein. In some examples, a method may include, for a set of iterations, randomly positioning a three-dimensional (3D) object model in a virtual space with random textures. In some examples, the method may include, for the set of iterations, rendering a two-dimensional (2D) image of the 3D object model in the virtual space and a corresponding annotation image. In some examples, the method may include training a machine learning model using the rendered 2D images and corresponding annotation images.

公开(公告)号：US20240095953A1

公开(公告)日：2024-03-21

申请号：US18513902

申请日：2023-11-20

申请人： Ultrahaptics IP Ltd

发明人： Samuel John Llewellyn Lyons

IPC分类号： G06T7/73 ,  G06F18/21 ,  G06F18/2111 ,  G06F18/214 ,  G06N3/045 ,  G06N3/084 ,  G06N3/126 ,  G06V10/426 ,  G06V10/764 ,  G06V10/82 ,  G06V20/64 ,  G06V40/10 ,  G06V40/20

CPC分类号： G06T7/75 ,  G06F18/2111 ,  G06F18/2155 ,  G06F18/217 ,  G06N3/045 ,  G06N3/084 ,  G06N3/126 ,  G06V10/426 ,  G06V10/764 ,  G06V10/82 ,  G06V20/653 ,  G06V40/11 ,  G06V40/28 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084

摘要： Described is a solution for an unlabeled target domain dataset challenge using a domain adaptation technique to train a neural network using an iterative 3D model fitting algorithm to generate refined target domain labels. The neural network supports the convergence of the 3D model fitting algorithm and the 3D model fitting algorithm provides refined labels that are used for training of the neural network. During real-time inference, only the trained neural network is required. A convolutional neural network (CNN) is trained using labeled synthetic frames (source domain) with unlabeled real depth frames (target domain). The CNN initializes an offline iterative 3D model fitting algorithm capable of accurately labeling the hand pose in real depth frames. The labeled real depth frames are used to continue training the CNN thereby improving accuracy beyond that achievable by using only unlabeled real depth frames for domain adaptation.

公开(公告)号：US11858139B1

公开(公告)日：2024-01-02

申请号：US17459587

申请日：2021-08-27

申请人： Amazon Technologies, Inc.

发明人： Can Erdogan ,  Kiru Park ,  Johannes Kulick ,  Zoltan Beck ,  Michael Nalin Mistry ,  Lesley Yu

IPC分类号： B25J9/16 ,  B25J13/08 ,  B25J9/00 ,  G06T7/70 ,  G06T7/50 ,  G06V20/00 ,  G06V20/64

CPC分类号： B25J9/1612 ,  B25J9/0096 ,  B25J9/1633 ,  B25J9/1664 ,  B25J9/1697 ,  B25J13/08 ,  G06T7/50 ,  G06T7/70 ,  G06V20/00 ,  G06V20/653 ,  G06T2207/10028

摘要： Systems, methods, and systems are disclosed for a robotic manipulator system including a robotic manipulator, a controller, one or more sensors, and a support structure. The support structure may be non-planar and/or deformable and may be designed to support an object on an upper surface. The one or more sensors may be directed towards the support structure and object. The controller and/or another computing device in communication with the controller may determine geometry of the support structure and may know or determine a compression value of the support structure. Using the compression value and/or geometry of the support structure, the controller may cause the robotic manipulator to grasp the object from the support structure and move the object to a new location.

公开(公告)号：US20230334881A1

公开(公告)日：2023-10-19

申请号：US18213846

申请日：2023-06-25

申请人： REALMOTION INC.

发明人： Amit Chachek

IPC分类号： G06V20/64 ,  G06T17/10 ,  G06T17/20 ,  G06T15/08 ,  G06T13/40 ,  G06T19/20 ,  G06T7/20 ,  G06F18/22 ,  G06V10/75 ,  G06V40/20

CPC分类号： G06V20/653 ,  G06T17/10 ,  G06T17/205 ,  G06T15/08 ,  G06T13/40 ,  G06T19/20 ,  G06T7/20 ,  G06T17/20 ,  G06F18/22 ,  G06V10/754 ,  G06V40/23 ,  G06T2200/08

摘要： Device, system, and method of generating a reduced-size volumetric dataset. A method includes receiving a plurality of three-dimensional volumetric datasets that correspond to a particular object; and generating, from that plurality of three-dimensional volumetric datasets, a single uniform mesh dataset that corresponds to that particular object. The size of that single uniform mesh dataset is less than ¼ of the aggregate size of the plurality of three-dimensional volumetric datasets. The resulting uniform mesh is temporally coherent, and can be used for animating that object, as well as for introducing modifications to that object or to clothing or garments worn by that object.