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61.发明公开公开(公告)号：US20230196495A1
公开(公告)日：2023-06-22
申请号：US17645729
申请日：2021-12-22
IPC分类号： G06T1/00 , G06K9/62 , G06T15/00 , G06V10/762 , G06V20/64 , G06T7/20 , B25J9/16 , G06T7/70 , G06T7/80 , G06V10/75 , G06V20/52 , G06V10/22 , G06T7/00 , G06T7/50
CPC分类号： G06T1/0014 , G06K9/6289 , G06T15/00 , G06V10/762 , G06V20/653 , G06T7/20 , B25J9/1666 , G06T7/70 , G06T7/80 , G06V10/751 , G06V20/52 , G06V10/22 , B25J9/1676 , G06T7/0004 , G06T7/50 , G06T2215/12 , G06T2207/30164 , G06T2207/30244
摘要： The disclosure relates to a system and method for verifying robot data that is used by a safety system monitoring a workspace shared by a human and robot. One or more sensors monitoring the workspace are arranged to obtain a three-dimensional view of the workspace. Raw data from each of the sensors is acquired and analyzed to determine the positioning and spatial relationship between the human and robot as both move throughout the workspace. This captured data is compared to the positional data obtained from the robot to assess whether discrepancies exist between the data sets. If the information from the sensors does not sufficiently match the data from the robot, then a signal from the system may be sent to deactivate the robot and prevent potential injury to the human.
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公开(公告)号：US11670046B2
公开(公告)日：2023-06-06
申请号：US17583546
申请日：2022-01-25
申请人： Hover Inc.
IPC分类号： G06T17/00 , G06T17/05 , G06T19/00 , G06F30/13 , G06V20/10 , G06V20/64 , G06T15/04 , G06T19/20 , G06T15/20 , G06F3/14 , G06F30/23
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： The scale of modeled building objects from collected imagery is determined by identifying architectural elements within building object imagery, determining a scale of the identified architectural elements by matching them to known industry standard architectural element based on dimensional ratio comparisons and deriving an average scaling factor based on scale of the identified architectural elements. A three dimensional model of the building object is scaled according to the average scaling. Scaled architecture elements within a relative error can be used for scaling the model according to an updated scale factor.
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公开(公告)号：US20240364983A1
公开(公告)日：2024-10-31
申请号：US18635899
申请日：2024-04-15
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： H04N23/00 , B29B17/02 , B29K23/00 , B29K67/00 , B29L31/00 , G06F21/16 , G06Q10/30 , G06V10/141 , G06V10/143 , G06V10/60 , G06V20/64 , G09C5/00 , H04N21/2389 , H04N21/44 , H04N21/8358
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.
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公开(公告)号：US20240346760A1
公开(公告)日：2024-10-17
申请号：US18755154
申请日：2024-06-26
申请人： Hover Inc.
发明人： Shaohui Sun , Ioannis Pavlidis , Adam J. Altman
IPC分类号： G06T17/05 , G06F3/14 , G06T15/04 , G06T15/20 , G06T17/00 , G06T19/00 , G06T19/20 , G06V20/10 , G06V20/64
CPC分类号： G06T17/05 , G06F3/14 , G06T15/04 , G06T15/20 , G06T17/00 , G06T19/003 , G06T19/20 , G06V20/176 , G06V20/653 , G06T2200/08 , G06T2200/24 , G06T2207/10028 , G06T2210/04 , G06T2210/56 , G06T2219/2008
摘要： Systems and methods are described for creating three dimensional models of building objects by creating a point cloud from a plurality of input images, defining edges of the building object's surfaces represented by the point cloud, creating simplified geometries of the building object's surfaces and constructing a building model based on the simplified geometries. Input images may include ground, orthographic, or oblique images. The resultant model may be scaled according to correlation with select image types and textured.
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公开(公告)号：US12013986B2
公开(公告)日：2024-06-18
申请号：US17838887
申请日：2022-06-13
发明人： Ayan Sinha , Chiho Choi , Joon Hee Choi , Karthik Ramani
IPC分类号： G06F3/01 , G06N20/00 , G06V10/44 , G06V20/64 , G06V30/194 , G06V40/10 , H04N13/271
CPC分类号： G06F3/017 , G06N20/00 , G06V10/454 , G06V20/653 , G06V30/194 , G06V40/11 , G06V40/113 , H04N13/271
摘要： A method for hand pose identification in an automated system includes providing map data of a hand of a user to a first neural network trained to classify features corresponding to a joint angle of a wrist in the hand to generate a first plurality of activation features and performing a first search in a predetermined plurality of activation features stored in a database in the memory to identify a first plurality of hand pose parameters for the wrist associated with predetermined activation features in the database that are nearest neighbors to the first plurality of activation features. The method further includes generating a hand pose model corresponding to the hand of the user based on the first plurality of hand pose parameters and performing an operation in the automated system in response to input from the user based on the hand pose model.
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66.发明公开公开(公告)号：US20240181964A1
公开(公告)日：2024-06-06
申请号：US18514972
申请日：2023-11-20
IPC分类号： B60R1/00 , G06T7/13 , G06T7/44 , G06T7/50 , G06T7/55 , G06T7/73 , G06T7/80 , G06V10/77 , G06V20/64
CPC分类号： B60R1/003 , G06T7/13 , G06T7/44 , G06T7/50 , G06T7/55 , G06T7/73 , G06T7/80 , G06V10/7715 , G06V20/653 , B60R2300/30 , B60R2300/607 , B60R2300/808 , G06T2207/10028
摘要： Systems and methods for determining an alignment of a trailer relative to a docking bay or a vehicle bay door using dynamic depth filtering. Image data and position data is captured by a 3D camera system with an at least partially downward-facing field of view. When a trailer is approaching the docking bay or door, the captured image data includes a top surface of the trailer. A dynamic height range is determined based on an estimated height of the top surface of the trailer in the image data and a dynamic depth filter is applied to filter out image data corresponding to heights outside of the dynamic height range. An angular position and/or lateral offset of the trailer is determined based on the depth-filtered image data.
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公开(公告)号：US20240169443A1
公开(公告)日：2024-05-23
申请号：US18426172
申请日：2024-01-29
IPC分类号： G06Q40/08 , G06F3/04845 , G06T17/20 , G06T19/00 , G06V20/13 , G06V20/17 , G06V20/20 , G06V20/64
CPC分类号： G06Q40/08 , G06F3/04845 , G06T17/20 , G06T19/00 , G06V20/13 , G06V20/17 , G06V20/20 , G06V20/653 , G06T2200/08 , G06T2219/004 , G06T2219/024
摘要： This application discloses methods, systems, and computer-implemented virtualization software applications and computer-implemented graphical user interface tools for remote virtual visualization of structures. Images are captured by an imaging vehicle of a structure and the captured images are transmitted to a remote server via a communication network. Using virtual 3D digital modeling software the server, using the images received from the imaging vehicle, generates a virtual 3D digital model of the structure and stores it in a database. This virtual 3D digital model can be accessed by remote users, using virtualization software applications, and used to view images of the structure. The user is able to manipulate the images and to view them from various perspectives and compare the before-the-damage images with images taken after damage have occurred. Based on all this the user is enabled to remotely communicate with an insurance agent and/or file an insurance claim.
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公开(公告)号：US11972572B2
公开(公告)日：2024-04-30
申请号：US17580554
申请日：2022-01-20
IPC分类号： G06T15/00 , A61C9/00 , A61C13/34 , G06F18/2431 , G06N3/044 , G06N3/08 , G06T7/00 , G06T7/11 , G06T17/00 , G06T19/20 , G06V10/44 , G06V10/82 , G06V20/64
CPC分类号： G06T7/11 , A61C9/0053 , A61C13/34 , G06F18/2431 , G06N3/044 , G06N3/08 , G06T7/0012 , G06T17/00 , G06T19/20 , G06V10/454 , G06V10/82 , G06T2207/10016 , G06T2207/10024 , G06T2207/10048 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/20221 , G06T2207/30036 , G06T2207/30052 , G06T2210/41 , G06T2219/008 , G06T2219/2021 , G06V20/653 , G06V2201/03
摘要： A system includes an intraoral scanner and a computing device. The intraoral scanner generates an intraoral scan of a dental site. The computing device processes an input comprising data from the intraoral scan using a trained machine learning model that has been trained to classify regions of dental sites, wherein the trained machine learning model generates an output comprising, for each point in the intraoral scan, an indication as to whether the point belongs to a first dental class that represents excess material. The computing device determines, based on the output, one or more points in the intraoral scan that are classified as excess material. The computing device then hides or removes, from at least one of the intraoral scan or a virtual three-dimensional (3D) model generated using the intraoral scan, data for the one or more points that are classified as excess material.
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公开(公告)号：US20240137562A1
公开(公告)日：2024-04-25
申请号：US18397223
申请日：2023-12-27
发明人： Toshiyasu SUGIO , Noritaka IGUCHI
IPC分类号： H04N19/597 , G06F18/2431 , G06T3/40 , G06T9/00 , G06V20/64
CPC分类号： H04N19/597 , G06F18/2431 , G06T3/40 , G06T9/001 , G06V20/653
摘要： A three-dimensional data encoding method includes: classifying three-dimensional points included in point cloud data into layers, based on geometry information of the three-dimensional points; generating first information indicating whether to permit referring to, for a current three-dimensional point included in the three-dimensional points, attribute information of another three-dimensional point belonging to a same layer as the current three-dimensional point; and encoding attribute information of the current three-dimensional point to generate a bitstream, by or without referring to the attribute information of the other three-dimensional point according to the first information. The bitstream includes the first information.
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70.发明授权公开(公告)号：US11954870B2
公开(公告)日：2024-04-09
申请号：US16975242
申请日：2019-04-23
申请人： Tsinghua University
IPC分类号： G06T7/593 , B64C39/02 , B64U101/30 , G06T7/292 , G06T17/00 , G06V10/80 , G06V20/13 , G06V20/17 , G06V20/64
CPC分类号： G06T7/292 , B64C39/024 , G06T7/593 , G06T17/00 , G06V10/803 , G06V20/13 , G06V20/17 , G06V20/653 , B64U2101/30 , G06T2207/10028 , G06T2207/20221
摘要： Provided are a three-dimensional reconstruction method, apparatus and system of a dynamic scene, a server and a medium. The method includes: acquiring multiple continuous depth image sequences of the dynamic scene, where the multiple continuous depth image sequences are captured by an array of drones equipped with depth cameras; fusing the multiple continuous depth image sequences to establish a three-dimensional reconstruction model of the dynamic scene; obtaining target observation points of the array of drones through calculation according to the three-dimensional reconstruction model and current poses of the array of drones; and instructing the array of drones to move to the target observation points to capture, and updating the three-dimensional reconstruction model according to multiple continuous depth image sequences captured by the array of drones at the target observation points.
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