公开(公告)号：US20230332946A1

公开(公告)日：2023-10-19

申请号：US18082268

申请日：2022-12-15

Applicant: UNIVERSITY OF SOUTHERN CALIFORNIA

Inventor： Jonathan Habif ,  Andrew Rittenbach

IPC: G06T7/11 ,  G01J1/42 ,  G06T7/254 ,  G06T7/136 ,  G06T7/155

CPC classification number: G01J1/4257 ,  G06T7/11 ,  G06T7/136 ,  G06T7/155 ,  G06T7/254 ,  G06T2207/10004 ,  G06T2207/20048

Abstract: Systems and methods for off-axis detection of a laser source. The system may include an optical sensor configured to detect light, a focusing lens adjacent to an input of the optical sensor and configured to focus the light and an optical filter adj acent to an input of the focusing lens and configured to filter a wavelength of the light. A processor may be connected to the optical sensor and may implement disclosed methods to analyze data from the optical sensor to detect atmospheric scattering of laser light from the laser source.

公开(公告)号：US11790548B2

公开(公告)日：2023-10-17

申请号：US18072484

申请日：2022-11-30

Applicant: BLUE VISION LABS UK LIMITED

Inventor： Peter Ondruska ,  Lukas Platinsky ,  Giacomo Dabisias

IPC: G06T7/136 ,  G06T7/55 ,  G06T7/70 ,  G06V20/10 ,  G06V20/58

CPC classification number: G06T7/55 ,  G06T7/136 ,  G06T7/70 ,  G06V20/10 ,  G06V20/582 ,  G06V20/584 ,  G06T2207/10004 ,  G06T2207/20081 ,  G06T2207/30244

Abstract: The present invention relates to a method and system for automatic localisation of static objects in an urban environment. More particularly, the present invention relates to the use of noisy 2-Dimensional (2D) image data to identify and determine 3-Dimensional (3D) positions of objects in large scale urban or city environments. Aspects and/or embodiments seek to provide a method, system, and vehicle for automatically locating static 3D objects in urban environments by using a voting-based triangulation technique. Aspects and/or embodiments also provide a method for updating map data after automatically new 3D static objects in an environment.

公开(公告)号：US20230316568A1

公开(公告)日：2023-10-05

申请号：US18132127

申请日：2023-04-07

Applicant: BLUE VISION LABS UK LIMITED

Inventor： Long Chen ,  Benjamin Alex Haines ,  Luca Del Pero

IPC: G06T7/73 ,  G01C21/36 ,  G06T17/05 ,  G06T7/00 ,  G06T7/136 ,  G06F16/583 ,  H04N23/698 ,  G06V10/762 ,  G06V10/80 ,  G06V20/56 ,  G06V10/26

CPC classification number: G06T7/74 ,  G01C21/3638 ,  G06T17/05 ,  G06T7/97 ,  G06T7/136 ,  G06F16/583 ,  H04N23/698 ,  G06V10/7635 ,  G06V10/803 ,  G06V20/56 ,  G06V10/26 ,  G06T2207/10028 ,  G06T2207/30244 ,  G06V10/16

Abstract: The present invention provides a method of generating a robust global map using a plurality of limited field-of-view cameras to capture an environment.
Provided is a method for generating a three-dimensional map comprising: receiving a plurality of sequential image data wherein each of the plurality of sequential image data comprises a plurality of sequential images, further wherein the plurality of sequential images is obtained by a plurality of limited field-of-view image sensors; determining a pose of each of the plurality of sequential images of each of the plurality of sequential image data; determining one or more overlapping poses using the determined poses of the sequential image data; selecting at least one set of images from the plurality of sequential images wherein each set of images are determined to have overlapping poses; and constructing one or more map portions derived from each of the at least one set of images.

公开(公告)号：US20230290174A1

公开(公告)日：2023-09-14

申请号：US18318556

申请日：2023-05-16

Applicant: Snap Inc.

Inventor： Yuncheng Li ,  Linjie Yang ,  Ning Zhang ,  Zhengyuan Yang

IPC: G06V40/10 ,  G06F17/15 ,  G06N3/04 ,  G06T7/136

CPC classification number: G06V40/107 ,  G06F17/15 ,  G06N3/04 ,  G06T7/136

Abstract: Segmentation of an image into individual body parts is performed based on a trained model. The model is trained with a plurality of training images, each training image representing a corresponding training figure. The model is also trained with a corresponding plurality of segmentations of the training figures. Each segmentation is generated by positioning body parts between defined positions of joints of the represented figure. The body parts are represented by body part templates obtained from a template library, with the templates defining characteristics of body parts represented by the templates.

公开(公告)号：US11748981B2

公开(公告)日：2023-09-05

申请号：US17731228

申请日：2022-04-27

Applicant: AstraZeneca Computational Pathology GmbH

Inventor： Guenter Schmidt ,  Nicolas Brieu ,  Ansh Kapil ,  Jan Martin Lesniak

IPC: G06V10/82 ,  G06T7/00 ,  G06V20/69 ,  G06V10/764 ,  G06T7/136 ,  G06T7/33 ,  G06T7/35 ,  G01N1/30 ,  G06F18/2413

CPC classification number: G06V10/82 ,  G01N1/30 ,  G06F18/2414 ,  G06T7/0012 ,  G06T7/136 ,  G06T7/337 ,  G06T7/35 ,  G06V10/764 ,  G06V20/695 ,  G06V20/698 ,  G01N2800/52 ,  G01N2800/7028 ,  G06T2207/20084 ,  G06T2207/30024 ,  G06T2207/30242

Abstract: A method for indicating how a cancer patient will respond to a predetermined therapy relies on spatial statistical analysis of classes of cell centers in a digital image of tissue of the cancer patient. The cell centers are detected in the image of stained tissue of the cancer patient. For each cell center, an image patch that includes the cell center is extracted from the image. A feature vector is generated based on each image patch using a convolutional neural network. A class is assigned to each cell center based on the feature vector associated with each cell center. A score is computed for the image of tissue by performing spatial statistical analysis based on classes of the cell centers. The score indicates how the cancer patient will respond to the predetermined therapy. The predetermined therapy is recommended to the patient if the score is larger than a predetermined threshold.

公开(公告)号：US11747278B2

公开(公告)日：2023-09-05

申请号：US17016583

申请日：2020-09-10

Applicant: DENSO TEN Limited

Inventor： Tomokazu Oki ,  Nobunori Asayama ,  Takashi Kono ,  Yasushi Tani ,  Daisuke Yamamoto ,  Nobuhisa Ikeda ,  Teruhiko Kamibayashi

IPC: G01N21/47 ,  G06T7/73 ,  G06T7/136 ,  G06T7/00 ,  G06T7/13

CPC classification number: G01N21/4738 ,  G06T7/0002 ,  G06T7/13 ,  G06T7/136 ,  G06T7/73 ,  G01N2021/4769

Abstract: A deposit detection device according to an embodiment includes a calculation module, a detection module, an interpolation module, and a state management module. The calculation module calculates a region feature amount based on an edge vector of each pixel, for each unit region composed of a predetermined number of pixels included in a captured image. The detection module detects the unit region corresponding to a partial covering location and the unit region corresponding to a diffuse reflection location based on a detection condition and a second detection condition, respectively, the first detection condition and the second detection condition being based on the region feature amount. The interpolation module interpolates the area ratio of the partial covering location reduced due to the diffuse reflection location. The state management module controls state transitions of states related to interpolation of the area ratio, based on increase and decrease of the diffuse reflection location.

公开(公告)号：US20230260137A1

公开(公告)日：2023-08-17

申请号：US18139579

申请日：2023-04-26

Applicant: Lutron Technology Company LLC

Inventor： James P. Steiner

IPC: G06T7/277 ,  G06T7/136 ,  G06T7/215 ,  G01S5/02 ,  G01S13/86

CPC classification number: G06T7/277 ,  G06T7/136 ,  G06T7/215 ,  G01S5/0294 ,  G01S13/867

Abstract: A sensor may be configured to determine how many people that have entered or exited a space. The sensor may comprise a pyroelectric infrared (PIR) detection circuit capable of generating different output signal patterns in response to a person entering or exiting the space. The sensor may determine whether the person has entered or exited the space based on the output signal pattern. The sensor may include a thermopile array, a radar detection circuit, or a visible light sensing circuit. The thermopile array, radar detection circuit, or visible light sensing circuit may be capable of detecting a person's location and/or movements within an area monitored by the sensor and determining, based on the detected movements, whether the person has entered or left the space. An occupant count of the space may then be determined accordingly by the sensor or by a system controller.

公开(公告)号：US20230260095A1

公开(公告)日：2023-08-17

申请号：US18004141

申请日：2020-07-07

Applicant: SINO CANADA HEALTH ENGINERING RESEARCH INSTITUTE

Inventor： Jin Su ,  Di Zhou ,  Huabin Wang ,  Xianju Diao ,  Xuejun Li ,  Zhiyang Wang ,  Gong Zhang ,  Yujie Xu ,  Xiumei Yin

IPC: G06T5/50 ,  G06T7/11 ,  G06T7/136 ,  G06T5/20

CPC classification number: G06T5/50 ,  G06T7/11 ,  G06T7/136 ,  G06T5/20 ,  G06T2207/20221 ,  G06T2207/10104 ,  G06T2207/10108 ,  G06T2207/10088

Abstract: A method of processing an image includes: acquiring a first image for a target object by using a first imaging method (S110); acquiring a second image for the target object by using a second imaging method (S120); constructing a first sub-image and a second sub-image based on the first image (S130); constructing a third sub-image and a fourth sub-image based on the second image (S140); and determining a pixel value distribution information of a fused image based on a pixel value distribution information of each of the first sub-image, the second sub-image, the third sub-image, and the fourth sub-image, so as to obtain the fused image (S150). An apparatus of processing an image, a computing device, and a computer-readable storage medium are further provided.

公开(公告)号：US20230252644A1

公开(公告)日：2023-08-10

申请号：US17667523

申请日：2022-02-08

Applicant: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.

Inventor： Zhicheng Yang ,  Hang Zhou ,  Jui-Hsin Lai ,  Mei Han

IPC: G06T7/136

CPC classification number: G06T7/136 ,  G06T2207/20072 ,  G06T2207/20081

Abstract: A system and method for unsupervised superpixel-driven instance segmentation of a remote sensing image are provided. The remote sensing image is divided into one or more image patches. The one or more image patches are processed to generate one or more superpixel aggregation patches based on a graph-based aggregation model, respectively. The graph-based aggregation model is configured to learn at least one of a spatial affinity or a feature affinity of a plurality of superpixels from each image patch and aggregate the plurality of superpixels based on the at least one of the spatial affinity or the feature affinity of the plurality of superpixels. The one or more superpixel aggregation patches are combined into an instance segmentation image.

公开(公告)号：US20230252610A1

公开(公告)日：2023-08-10

申请号：US18305187

申请日：2023-04-21

Applicant: Snap Inc.

Inventor： Igor Kudriashov ,  Fedir Poliakov ,  Maksim Gusarov

IPC: G06T5/00 ,  G06T11/00 ,  G06T3/40 ,  G06T7/20 ,  G06T7/11 ,  G06T7/136 ,  G06T7/73 ,  G06T7/90 ,  G06V40/16

CPC classification number: G06T5/008 ,  G06T3/40 ,  G06T7/11 ,  G06T7/20 ,  G06T7/73 ,  G06T7/90 ,  G06T7/136 ,  G06T11/001 ,  G06V40/165 ,  G06V40/171 ,  G06T2207/10016 ,  G06T2207/30201

Abstract: Systems, devices, media, and methods are presented for segmenting an image of a video stream with a client device, identifying an area of interest, generating a modified area of interest within one or more image, identifying a first set of pixels and a second set of pixels, and modifying a color value for the first set of pixels.