公开(公告)号：US12131560B2

公开(公告)日：2024-10-29

申请号：US18355020

申请日：2023-07-19

申请人： Samsung Electronics Co., Ltd.

发明人： Heewon Kim ,  Seon Min Rhee ,  Jihye Kim ,  Ju Hwan Song ,  Jaejoon Han

IPC分类号： G06V20/64 ,  G06F18/214 ,  G06F18/22 ,  G06F18/2413 ,  G06F21/32 ,  G06N3/08 ,  G06T7/50 ,  G06V10/44 ,  G06V10/74 ,  G06V10/75 ,  G06V40/16

CPC分类号： G06V20/647 ,  G06F18/214 ,  G06F18/22 ,  G06F18/2413 ,  G06F21/32 ,  G06N3/08 ,  G06T7/50 ,  G06V10/454 ,  G06V10/751 ,  G06V10/761 ,  G06V40/165 ,  G06V40/168 ,  G06V40/172 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30201

摘要： A user authentication method and a user authentication apparatus acquire an input image including a frontalized face of a user, calculate a confidence map including confidence values, for authenticating the user, corresponding to pixels with values maintained in a depth image of the frontalized face of the user among pixels included in the input image, extract a second feature vector from a second image generated based on the input image and the confidence map, acquire a first feature vector corresponding to an enrolled image, and perform authentication of the user based on a correlation between the first feature vector and the second feature vector.

公开(公告)号：US12131535B2

公开(公告)日：2024-10-29

申请号：US18511965

申请日：2023-11-16

申请人： VISUAL FUN CO., LTD.

发明人： Wu-Hsiung Yen

IPC分类号： G06V20/20 ,  G06F3/01 ,  G06T19/00 ,  G06V20/64

CPC分类号： G06V20/20 ,  G06F3/017 ,  G06T19/006 ,  G06V20/64

摘要： A method for recognizing at least one object in images by a camera and a processor is provided. The at least one object includes content information and operation direction information. The operation direction information includes inspection direction, re-inspection direction, and a combination thereof. The method includes a first re-inspection step, the first re-inspection step includes using the processor to inspect whether the re-inspection direction of one of the at least one object matches a paring relationship. If so, the processor processes the content information of the at least one object and another one object to generate computational result.

公开(公告)号：US20240355103A1

公开(公告)日：2024-10-24

申请号：US18754014

申请日：2024-06-25

申请人： Matterport, Inc.

发明人： Gunnar Hovden ,  Mykhaylo Kurinnyy

IPC分类号： G06V10/778 ,  G06F18/21 ,  G06T15/04 ,  G06T15/20 ,  G06T17/00 ,  G06T19/00 ,  G06V20/00 ,  G06V20/10 ,  G06V20/64

CPC分类号： G06V10/7796 ,  G06F18/2193 ,  G06T15/04 ,  G06T15/205 ,  G06T17/00 ,  G06T19/003 ,  G06V20/10 ,  G06V20/35 ,  G06T2210/04 ,  G06V20/647

摘要： Techniques are provided for increasing the accuracy of automated classifications produced by a machine learning engine. Specifically, the classification produced by a machine learning engine for one photo-realistic image is adjusted based on the classifications produced by the machine learning engine for other photo-realistic images that correspond to the same portion of a 3D model that has been generated based on the photo-realistic images. Techniques are also provided for using the classifications of the photo-realistic images that were used to create a 3D model to automatically classify portions of the 3D model. The classifications assigned to the various portions of the 3D model in this manner may also be used as a factor for automatically segmenting the 3D model.

公开(公告)号：US12125284B2

公开(公告)日：2024-10-22

申请号：US17784472

申请日：2020-10-13

申请人： Hitachi, Ltd.

发明人： Masato Tamura ,  Tomoaki Yoshinaga ,  Atsushi Hiroike ,  Hiromu Nakamae ,  Yuta Yanashima

IPC分类号： G06V20/52 ,  G06V10/82 ,  G06V20/64

CPC分类号： G06V20/52 ,  G06V10/82 ,  G06V20/647 ,  G06V2201/07

摘要： An object of the invention is to configure an object search device capable of expressing information on shapes and irregularities as features only by images, in a search for an object that is characteristic in shape or irregularity, and performing an accurate search.
The object search device includes: an image feature extraction unit that is configured with a first neural network, and is configured to input an image to extract an image feature; a three-dimensional data feature extraction unit that is configured with a second neural network, and is configured to input three-dimensional data to extract a three-dimensional data feature; a learning unit that is configured to extract an image feature and a three-dimensional data feature from an image and three-dimensional data of an object obtained from a same individual, respectively, and update an image feature extraction parameter so as to reduce a difference between the image feature and the three-dimensional data feature; and a search unit that is configured to extract image features of a query image and a gallery image of the object by the image feature extraction unit using the updated image feature extraction parameter, and calculate a similarity between the image features of both images to search for the object.

公开(公告)号：US12124257B2

公开(公告)日：2024-10-22

申请号：US17734094

申请日：2022-05-01

申请人： STRONG FORCE TP PORTFOLIO 2022, LLC

发明人： Charles Howard Cella

IPC分类号： G05D1/00 ,  B60W40/08 ,  G01C21/34 ,  G01C21/36 ,  G05B13/02 ,  G05D1/224 ,  G05D1/225 ,  G05D1/226 ,  G05D1/227 ,  G05D1/228 ,  G05D1/229 ,  G05D1/24 ,  G05D1/646 ,  G05D1/69 ,  G05D1/692 ,  G06F40/40 ,  G06N3/04 ,  G06N3/045 ,  G06N3/08 ,  G06N3/086 ,  G06N20/00 ,  G06Q30/0208 ,  G06Q50/18 ,  G06Q50/40 ,  G06V10/764 ,  G06V10/82 ,  G06V20/56 ,  G06V20/59 ,  G06V20/64 ,  G07C5/00 ,  G07C5/02 ,  G07C5/08 ,  G10L15/16 ,  G10L25/63 ,  G06N3/02 ,  G06Q30/02 ,  G06Q50/00

CPC分类号： G05D1/0022 ,  B60W40/08 ,  G01C21/3438 ,  G01C21/3461 ,  G01C21/3469 ,  G01C21/3617 ,  G05B13/027 ,  G05D1/0088 ,  G05D1/0212 ,  G05D1/0287 ,  G05D1/224 ,  G05D1/225 ,  G05D1/226 ,  G05D1/227 ,  G05D1/228 ,  G05D1/229 ,  G05D1/24 ,  G05D1/646 ,  G05D1/69 ,  G05D1/692 ,  G06F40/40 ,  G06N3/0418 ,  G06N3/045 ,  G06N3/08 ,  G06N3/086 ,  G06N20/00 ,  G06Q30/0208 ,  G06Q50/188 ,  G06Q50/40 ,  G06V10/764 ,  G06V10/82 ,  G06V20/56 ,  G06V20/59 ,  G06V20/597 ,  G06V20/64 ,  G07C5/006 ,  G07C5/008 ,  G07C5/02 ,  G07C5/08 ,  G07C5/0808 ,  G07C5/0816 ,  G07C5/0866 ,  G07C5/0891 ,  G10L15/16 ,  G10L25/63 ,  B60W2040/0881 ,  G06N3/02 ,  G06Q30/0281 ,  G06Q50/01

摘要： Transportation systems have artificial intelligence including neural networks for recognition and classification of objects and behavior including natural language processing and computer vision systems. The transportation systems involve sets of complex chemical processes, mechanical systems, and interactions with behaviors of operators. System-level interactions and behaviors are classified, predicted and optimized using neural networks and other artificial intelligence systems through selective deployment, as well as hybrids and combinations of the artificial intelligence systems, neural networks, expert systems, cognitive systems, genetic algorithms and deep learning.

公开(公告)号：US12123723B2

公开(公告)日：2024-10-22

申请号：US18227345

申请日：2023-07-28

申请人： SAMSUNG ELECTRONICS CO., LTD.

发明人： Eunseo Kim ,  Yehoon Kim ,  Chanwon Seo ,  Inhak Na ,  Myungjin Eom

IPC分类号： G01C21/20 ,  G06V10/764 ,  G06V10/82 ,  G06V20/10 ,  G06V20/64

CPC分类号： G01C21/206 ,  G06V10/764 ,  G06V10/82 ,  G06V20/10 ,  G06V20/64

摘要： An electronic apparatus is disclosed. The electronic apparatus includes a sensor, a camera, a memory, a camera and a processor. The memory stores a plurality of artificial intelligence models trained to identify objects and stores information on a map. The first processor provides, to the second processor, area information on an area in which the electronic apparatus is determined, based on sensing data obtained from the sensor, to be located, from among a plurality of areas included in the map. The second processor loads at least one artificial intelligence model of the plurality of artificial intelligence models to the volatile memory based on the area information and identifies an object by inputting the image obtained through the camera to the loaded artificial intelligence model.

公开(公告)号：US12121007B2

公开(公告)日：2024-10-22

申请号：US17939276

申请日：2022-09-07

申请人： Hill's Pet Nutrition, Inc.

发明人： Susan Wernimont ,  Robin Thompson ,  Stephen G. Matthews

IPC分类号： G06N3/08 ,  A01K29/00 ,  G06T17/00 ,  G06V10/25 ,  G06V10/26 ,  G06V10/70 ,  G06V20/64 ,  G06V40/10

CPC分类号： A01K29/005 ,  G06V10/25 ,  G06V10/26 ,  G06V10/70 ,  G06V20/64 ,  G06V40/10

摘要： A method, device, and system for determining a body attribute of an animal may be provided. For example, a system may include a sensor configured to capture image data relating to the animal. One or more processors may be configured to receive the captured image data relating to the animal; identify portions relating to the animal depicted within the image data; input, into a machine learning model, the portions relating to the animal depicted within the image data; and determine, via the machine learning model, an ideal body weight (IBW), a body condition score (BCS) of the animal, a body fat index (BFI) of the animal, a weight or other attributes of the animal or part of the animal including height, width, length, depth, diameter, radius, circumference, and the like.

公开(公告)号：US12118801B2

公开(公告)日：2024-10-15

申请号：US17767043

申请日：2020-09-08

申请人： HITACHI ASTEMO, LTD.

发明人： Takeshi Endo ,  Haruki Matono ,  Takeshi Nagasaki

IPC分类号： G06V20/58 ,  G06T7/55 ,  G06V10/20 ,  G06V10/26 ,  G06V20/56 ,  G06V20/64 ,  G08G1/16

CPC分类号： G06V20/58 ,  G06T7/55 ,  G06V10/255 ,  G06V10/267 ,  G06V20/588 ,  G06V20/64 ,  G08G1/166 ,  G06T2207/10016 ,  G06T2207/30252

摘要： Provided is an object recognition device capable of accurately estimating a distance from an own vehicle to an object such as a pedestrian. There are provided: a part specification unit 104 that determines a specific part region in an object by analyzing an image of a region corresponding to the object detected by an overlapping region object detection unit 103; an image information storage unit 105 that stores image information on the part region determined by the part specification unit 104; a three-dimensional information acquisition unit 106 that acquires three-dimensional information of the part region specified by the part specification unit 104 on the basis of the distance information acquired by a distance information acquisition unit 102; a non-overlapping region object detection unit 107 that detects the part region specified by the part specification unit 104 with reference to the image information stored in the image information storage unit 105 for the non-overlapping region; and a distance calculation unit 108 that calculates a distance to an object including the part region on the basis of the detection region information on an image of the part region detected by the non-overlapping region object detection unit 107 and the three-dimensional information acquired by the three-dimensional information acquisition unit 106.

公开(公告)号：US12118746B2

公开(公告)日：2024-10-15

申请号：US17483762

申请日：2021-09-23

申请人： Blue River Technology Inc.

发明人： Tyler Calvin Niday ,  Ugur Oezdemir

IPC分类号： G06T7/80 ,  G06T7/579 ,  G06T7/70 ,  G06T17/05 ,  G06V20/58 ,  G06V20/64

CPC分类号： G06T7/80 ,  G06T7/579 ,  G06T7/70 ,  G06T17/05 ,  G06V20/58 ,  G06V20/647

摘要： A system and a method are disclosed for calibrating an image acquisition system of a farming machine. The farming machine captures images of objects in an environment as the farming machine moves through an environment. Based on the captured images, a represented three-dimensional (3D) model of the environment representing the objects in a three-dimensional space is generated. From the represented 3D model, a represented location of an object (e.g., building, lamppost, tree) is determined. The represented location of the object is compared to a reference location of the object and the comparison is used to calibrate the image acquisition system by modifying positions, orientations, or optical settings of one or more cameras in the image acquisition system.

公开(公告)号：US12117403B2

公开(公告)日：2024-10-15

申请号：US17620434

申请日：2020-05-21

申请人： De Beers UK Ltd

发明人： Qi He Hong

IPC分类号： G06V20/64 ,  A44C17/00 ,  G01N21/87 ,  G06T17/00 ,  G06T19/00 ,  G06T19/20 ,  G06V10/75 ,  H04N13/275 ,  H04N13/395

CPC分类号： G01N21/87 ,  A44C17/00 ,  A44C17/001 ,  G06T17/00 ,  G06T19/00 ,  G06T19/003 ,  G06T19/006 ,  G06T19/20 ,  G06V10/75 ,  G06V20/647 ,  H04N13/275 ,  H04N13/395 ,  G06T2219/00 ,  G06T2219/008 ,  G06T2219/2004 ,  G06T2219/2021

摘要： A method of determining an optimal target gemstone to be obtained from a rough gemstone comprises obtaining a first series of 2D images of the rough gemstone; providing a 3D model of a target gemstone to be obtained from the rough gemstone; and generating a second series of 2D images of the target gemstone from the 3D model thereof. The method then comprises comparing the first and second series of 2D images to determine an optimal transformation to be applied to the 3D model of the target gemstone.