公开(公告)号：US12062251B2

公开(公告)日：2024-08-13

申请号：US18312997

申请日：2023-05-05

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： SungUn Park ,  Jihye Kim ,  Jaejoon Han ,  Minsu Ko ,  Seungju Han ,  Jinwoo Son ,  Changyong Son

IPC: G06F21/00 ,  G06F16/583 ,  G06F18/22 ,  G06F21/32 ,  G06T7/73 ,  G06V40/16 ,  G06V40/40 ,  H04N23/90 ,  G06V10/75

CPC classification number: G06V40/172 ,  G06F16/5838 ,  G06F18/22 ,  G06F21/32 ,  G06T7/74 ,  G06V40/45 ,  H04N23/90 ,  G06T2207/10024 ,  G06T2207/10048 ,  G06T2207/20024 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V10/759 ,  G06V40/165 ,  G06V40/171

Abstract: An image matching method includes extracting, from a first image of an object, a landmark patch including a landmark point of the object, extracting, from a second image of the object, a target patch corresponding to the landmark patch; and determining a target point in the second image corresponding to the landmark point based on a matching between the landmark patch and the target patch.

公开(公告)号：US20240265682A1

公开(公告)日：2024-08-08

申请号：US18565315

申请日：2022-05-30

Applicant: Carl Zeiss Microscopy GmbH

Inventor： Alexander Freytag ,  Matthias Eibl ,  Christian Kungel ,  Anselm Brachmann ,  Daniel Haase ,  Manuel Amthor

IPC: G06V10/774 ,  G06T5/20 ,  G06T5/70 ,  G06T7/00 ,  G06T11/00 ,  G06V10/26 ,  G06V10/75 ,  G06V10/776 ,  G06V10/82

CPC classification number: G06V10/774 ,  G06T5/20 ,  G06T5/70 ,  G06T7/0002 ,  G06T11/001 ,  G06V10/273 ,  G06V10/759 ,  G06V10/776 ,  G06V10/82 ,  G06T2207/10056 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30024 ,  G06T2207/30168

Abstract: A method generates an image processing model to calculate a virtually stained image from a microscope image. The image processing model is trained using training data comprising microscope images as input data into the image processing model and target images that are formed via chemically stained images registered locally in relation to the microscope images. The image processing model is trained to calculate virtually stained images from the input microscope images by optimizing an objective function that captures a difference between the virtually stained images and the target images. After a number of training steps, at least one weighting mask is defined using one of the chemically stained images and an associated virtually stained image calculated after the number of training steps. In the weighting mask, one or more image regions are weighted based on differences between locally corresponding image regions in the virtually stained image and in the chemically stained image. Subsequent training considers the weighting mask in the objective function.

公开(公告)号：US12058267B2

公开(公告)日：2024-08-06

申请号：US16699367

申请日：2019-11-29

Applicant: ICM AIRPORT TECHNICS AUSTRALIA PTY LTD

Inventor： Rainer Rudolf Dinkelmann ,  Thomas Christopher Wolfgang Landgrebe ,  Joshua James Maxwell Merritt

IPC: H04L9/32 ,  G06V10/25 ,  G06V40/16 ,  G06V10/75

CPC classification number: H04L9/3231 ,  G06V10/25 ,  G06V40/172 ,  G06V10/759

Abstract: A device for verifying a subject includes: a device body comprising a processor and a biometric system; wherein the biometric system comprises a first image capture device and a second image capture device, in which the first image capture device is configured to define a spatial region and the second image capture device is configured to capture an image of a subject within said spatial region, and the processor is configured to conduct an identification process on the captured image of the subject within the spatial region.

公开(公告)号：US20240242491A1

公开(公告)日：2024-07-18

申请号：US18413663

申请日：2024-01-16

Applicant: CANON KABUSHIKI KAISHA

Inventor： MASAFUMI TAKIMOTO

IPC: G06V10/778 ,  G06V10/75

CPC classification number: G06V10/778 ,  G06V10/759

Abstract: An apparatus includes at least one processor, and a memory coupled to the at least one processor, the memory storing instructions that, when executed by the at least one processor, cause the at least one processor to identify a partial image corresponding to an area in an image in which performance of inference by a learning model that performs predetermined inference on an input image is less than or equal to a threshold, collect a similar image similar to the identified partial image, and based on additional images including the collected similar image, improve a result of the inference by the learning model targeted at a test environment different from a training environment of the learning model.

公开(公告)号：US11983916B2

公开(公告)日：2024-05-14

申请号：US17463523

申请日：2021-08-31

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Rui Guo ,  Zhichao Liu ,  Zhanjia Bi ,  Yongsheng Zhao

IPC: G06V10/75

CPC classification number: G06V10/751 ,  G06V10/759

Abstract: A relocation method and a mobile machine using the same are provided. The method includes: obtaining a global map and a current scan map of a target scene where a mobile machine is located, and generating a local sub-map based on the global map; obtaining a black boundary in the local sub-map, determining a length and a curve complexity of the black boundary, and determining a weight of the black boundary based on the length and the curve complexity of the black boundary; determining an estimated pose and a target black boundary based on the local sub-map and the current scan image, and obtaining a matching value between the current scan image and the local sub-map based on a weight of the target black boundary; and determining the estimated pose as a relocated pose of the mobile machine in response to the matching value being larger than a preset threshold.

公开(公告)号：US20240135675A1

公开(公告)日：2024-04-25

申请号：US17971987

申请日：2022-10-23

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Fei Wang ,  Xue Ping Liu ,  Dan Zhang ,  Yun Jing Zhao ,  Kun Yan Yin ,  Zhi Xing Peng ,  Jian Long Sun

IPC: G06V10/74 ,  G06F16/532 ,  G06F16/56 ,  G06V10/22 ,  G06V10/46 ,  G06V10/75

CPC classification number: G06V10/761 ,  G06F16/532 ,  G06F16/56 ,  G06V10/22 ,  G06V10/462 ,  G06V10/759

Abstract: Detecting fine-grained similarity in image includes determining a core area of a search image by generating an image salient map from a plurality of layers of the search image and determining a connected area based on the image salient map. Feature descriptors are generated from the core area of the search image. A plurality of capsule vectors are generated from different ones of a plurality of keypoints of the feature descriptors. Capsule vectors of the search image are compared with capsule vectors of each image of the dataset to generate a top-K matrix. Similarity scores for the top-K matrix are calculated. One or more image of the dataset having fine-grained similarity with the search image are selected based a bundled similarity score for each image of the dataset. The bundled similarity score is a summation of the similarity scores of the image.

公开(公告)号：US11961235B2

公开(公告)日：2024-04-16

申请号：US17421560

申请日：2019-03-25

Applicant: BONEWISE INC.

Inventor： Dong Kyu Jin

IPC: G06T7/00 ,  A61B6/51 ,  G06F18/22 ,  G06T3/40 ,  G06T3/60 ,  G06T7/11 ,  G06V10/75

CPC classification number: G06T7/0014 ,  A61B6/51 ,  G06F18/22 ,  G06T3/40 ,  G06T3/60 ,  G06T7/11 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30036 ,  G06V10/759

Abstract: The present disclosure proposes an apparatus for determining a bone age of teeth. The apparatus according to the present disclosure may acquire a plurality of first teeth images of a plurality of teeth corresponding to a first gender and having a first bone age, generate a plurality of pre-processed images by pre-processing the plurality of first teeth images, generate a determination filter for determining a teeth shape for the first bone age of a human body having the first gender by training the neural network model using the plurality of pre-processed images, acquire a second teeth image of teeth of a human body having a second gender and gender information indicating the second gender, and determine a second bone age of the teeth corresponding to the second teeth image based on the second teeth image and the gender information by using the determination filter.

公开(公告)号：US20240119725A1

公开(公告)日：2024-04-11

申请号：US18531426

申请日：2023-12-06

Applicant: Beijing Youzhuju Network Technology Co., Ltd.

Inventor： Yan ZENG ,  Xinsong ZHANG ,  Hang LI

IPC: G06V10/96 ,  G06F40/40 ,  G06V10/75 ,  G06V10/774

CPC classification number: G06V10/96 ,  G06F40/40 ,  G06V10/759 ,  G06V10/774

Abstract: Provided in the present application are a method and apparatus for training a visual language pre-training model, and a device and a medium. The method includes: acquiring pairing groups respectively corresponding to N images, wherein the pairing group of a first image includes: a first pairing group which is composed of the first image and description text of the first image, and a second pairing group which is composed of a local image of the first image and description text of the local image, N is an integer greater than 1, and the first image is any one of the N images; and training a visual language pre-training model according to the pairing groups respectively corresponding to the N images.

公开(公告)号：US11900666B2

公开(公告)日：2024-02-13

申请号：US18151386

申请日：2023-01-06

Applicant: Future Dial, Inc.

Inventor： Yan Zhou ,  George Huang ,  Jisheng Li

IPC: G06T7/00 ,  G06V10/75 ,  G06V10/98

CPC classification number: G06V10/98 ,  G06T7/001 ,  G06V10/759 ,  G06T2200/24 ,  G06T2207/30108

Abstract: A method is disclosed that includes receiving, by a processing device, a plurality of images of a test assembly. The processing device selects a component in the test assembly and an image of the plurality of images of the test assembly as received. For the component as selected and the image as selected, the processing device compares a plurality of portions of the image as selected to a corresponding plurality of portions of a corresponding profile image and computing a matching score for each of the plurality of portions. The processing device selects a largest matching score from the matching score for each of the plurality of portions as a first matching score for the component as selected and the image as selected. The first matching score is stored for the component as selected and the image as selected.

公开(公告)号：US20240020954A1

公开(公告)日：2024-01-18

申请号：US17812596

申请日：2022-07-14

Applicant: ADOBE INC.

Inventor： Sachin Kelkar ,  Ajinkya Gorakhnath Kale ,  Midhun Harikumar

IPC: G06V10/774 ,  G06T5/00 ,  G06T7/194 ,  G06V10/771 ,  G06V10/776 ,  G06V10/26 ,  G06V10/75 ,  G06F16/532

CPC classification number: G06V10/774 ,  G06T5/005 ,  G06T7/194 ,  G06V10/771 ,  G06V10/776 ,  G06V10/267 ,  G06V10/759 ,  G06F16/532 ,  G06T2207/20081 ,  G06V2201/10

Abstract: Systems and methods for image processing, and specifically for generating object-agnostic image representations, are described. Embodiments of the present disclosure receive a training image including a foreground object and a background, remove the foreground object from the training image to obtain a modified training image, inpaint a portion of the modified training image corresponding to the foreground object to obtain an inpainted training image, encode the training image and the inpainted training image using a machine learning model to obtain an encoded training image and an encoded inpainted training image, and update parameters of the machine learning model based on the encoded training image and the encoded inpainted training image.