公开(公告)号：US20240221352A1

公开(公告)日：2024-07-04

申请号：US18555884

申请日：2021-05-13

Applicant: FANUC CORPORATION

Inventor： Shoutarou OGURA ,  Yuta NAMIKI

IPC: G06V10/74 ,  G06V10/56 ,  G06V10/60

CPC classification number: G06V10/761 ,  G06V10/56 ,  G06V10/60 ,  G06V2201/07

Abstract: An image processing device according to one aspect of the present disclosure for which detection parameters can easily be set comprises: a model storage unit that stores a model pattern; a characteristic point extraction unit that extracts characteristic points from a photographed image; an original matching degree calculation unit that calculates the degree of matching between the model pattern and arrangement of the characteristic points; an object detection unit that detects an object in the photographed image by comparing the degree of matching with a detection threshold value; a parameter setting unit that sets detection parameters including at least the detection threshold value; a detection information storage unit that stores, for characteristic points of the object detected by the target object detection unit, detection information including at least the positions of the characteristic points; and a simple matching degree calculation unit that calculates, if the detection parameters are changed, the degree of matching based on the changed detection parameters and the detection information stored in the detection information storage unit.

公开(公告)号：US20240221343A1

公开(公告)日：2024-07-04

申请号：US18609290

申请日：2024-03-19

Applicant: FUJIFILM Corporation

Inventor： Haruka IKEDA

IPC: G06V10/25 ,  G06T11/20 ,  G06V10/44

CPC classification number: G06V10/25 ,  G06T11/203 ,  G06V10/44 ,  G06V2201/07

Abstract: A display processing device includes: an acquisition unit that discriminates a detection target and other targets of an object for each pixel of a captured image obtained by imaging the object, and acquires a segmentation result; an extraction unit that extracts a region of the detection target from the segmentation result; a measurement unit that measures a feature amount for determining a relevance between regions of the detection targets in a case where non-continuous regions of the detection targets are extracted; a relevance determination unit that determines the relevance between the regions of the detection targets based on the feature amount; a region decision unit that decides a target region to be displayed in an integrated display format among the regions of the detection targets based on an evaluation result determined by the relevance determination unit; and a drawing unit that draws the target region in the display format.

公开(公告)号：US20240221204A1

公开(公告)日：2024-07-04

申请号：US18602143

申请日：2024-03-12

Applicant: DEEPX CO., LTD.

Inventor： Ha Joon YU ,  You Jun KIM ,  Lok Won KIM

IPC: G06T7/70 ,  G06T3/40 ,  G06T7/11 ,  G06T7/20 ,  G06V10/764 ,  G06V10/771 ,  H04N23/61 ,  H04N23/67 ,  H04N23/69 ,  H04N23/695

CPC classification number: G06T7/70 ,  G06T3/40 ,  G06T7/11 ,  G06T7/20 ,  G06V10/764 ,  G06V10/771 ,  H04N23/61 ,  H04N23/67 ,  H04N23/69 ,  H04N23/695 ,  G06T2207/20084 ,  G06V2201/07

Abstract: An electronic device mounted on a fixed or a movable apparatus is provided. The electronic device may comprise an image signal processor (ISP) for at least one camera; a neural processing unit (NPU), including a plurality of processing elements (PEs), configured to: process an operation of an artificial neural network model trained to detect or track at least one object, based on an input feature map generated from at least one image, which is acquired via the ISP from the at least one camera, and output an inference result; and a signal generator generating a signal applicable to the at least one camera or the ISP.

公开(公告)号：US12028574B2

公开(公告)日：2024-07-02

申请号：US17968677

申请日：2022-10-18

Applicant: Apprentice FS, Inc.

Inventor： Frank Maggiore

IPC: G08B13/196 ,  G06T7/20 ,  G06V10/22 ,  G06V10/25 ,  G06V10/74 ,  G06V10/75 ,  G06V20/40 ,  G06V20/52 ,  H04N21/234 ,  H04N21/439 ,  H04N21/454 ,  H04N21/84

CPC classification number: H04N21/4542 ,  G06T7/20 ,  G06V10/225 ,  G06V10/25 ,  G06V10/757 ,  G06V10/761 ,  G06V20/41 ,  G06V20/46 ,  G06V20/49 ,  G06V20/52 ,  H04N21/23418 ,  H04N21/4396 ,  H04N21/84 ,  G06V2201/07

Abstract: One variation of the method for distributing censored videos of manufacturing procedures performed within a facility includes: accessing a video feed captured by a local device interfacing with a local operator during performance of a procedure within the facility; interpreting a set of objects depicted in the video feed based on features extracted from the video feed; accessing a minimum censorship specification for the procedure, the minimum censorship specification defining a set of object types corresponding to a first degree of censorship; identifying a subset of objects, in the set of objects, depicted in the video feed related to the procedure based on the set of object types defined in the minimum censorship specification; fogging the subset of objects in the video feed to generate a censored video feed; and serving the censored video feed to a remote viewer portal accessed by a remote viewer.

公开(公告)号：US20240212340A1

公开(公告)日：2024-06-27

申请号：US18460057

申请日：2023-09-01

Applicant: Lawrence Livermore National Security, LLC

Inventor： Randy S. Roberts ,  John Goforth

IPC: G06V20/13 ,  G06F18/21 ,  G06F18/214 ,  G06T7/174 ,  G06V10/44 ,  G06V10/46 ,  G06V10/60 ,  G06V10/774 ,  G06V10/776

CPC classification number: G06V20/13 ,  G06F18/214 ,  G06F18/217 ,  G06T7/174 ,  G06V10/44 ,  G06V10/60 ,  G06V10/774 ,  G06V10/776 ,  G06V10/462 ,  G06V2201/07

Abstract: A system is provided for identifying and quantizing a change in a scene having objects based on comparison of features representing a target object derived from a first image and a second image that includes the target object. The system segments, based on a scene model of the scene, a second image that includes the target object to identify a second area representing the target object within the second image. The system extracts, from the second image, second features for the target object based on the second area. The system determines determine a second effectiveness of the second features indicating effectiveness of the second features in representing the target object. The system detects a change based on a difference between first features and the second features factoring in a first effectiveness and the second effectiveness.

公开(公告)号：US20240212269A1

公开(公告)日：2024-06-27

申请号：US18556984

申请日：2022-01-12

Applicant: SONY GROUP CORPORATION

Inventor： KEIICHIRO TANIGUCHI ,  TAKUYA IKEDA ,  HONOKA OZAKI

IPC: G06T17/00 ,  G06T7/50 ,  G06T7/90 ,  G06V10/60 ,  H04N13/279 ,  H04N13/363

CPC classification number: G06T17/00 ,  G06T7/50 ,  G06T7/90 ,  G06V10/60 ,  H04N13/279 ,  H04N13/363 ,  G06V2201/07

Abstract: An information processing apparatus according to an embodiment of the present technology includes a generation unit. The generation unit generates, on the basis of region information related to a projection region on which a virtual object is projected, other region information related to another projection region different from the projection region, and position information of an obstacle that interferes with projection of the virtual object in at least one of the projection region or the other projection region, a common region to the projection region and the other projection region, the common region not including the obstacle.

公开(公告)号：US20240212168A1

公开(公告)日：2024-06-27

申请号：US18541402

申请日：2023-12-15

Applicant: Booz Allen Hamilton Inc.

Inventor： John Alvin Carl, III ,  Michael Stinger ,  Kevin Uher ,  Brian C. O'Connor

IPC: G06T7/20 ,  G01S17/89 ,  G06V10/44 ,  G06V10/82

CPC classification number: G06T7/20 ,  G01S17/89 ,  G06V10/44 ,  G06V10/82 ,  G06V2201/07

Abstract: Embodiments relate to a detection system. The detection system includes a light detection and ranging (LIDAR) module configured to scan a swarm of objects to generate image data of a first object associated with a swarm. The detection system includes an image processing module configured to process the image data and control the at least one LIDAR module. The image processing module is configured to: detect presence of a first object; detect a feature of a first object for which the presence has been detected; characterize, using image processing, a feature of a first object; and initiate, based on the characterization of a feature, the LIDAR module to any one or combination of track a first object for which the presence has been detected or scan a swarm to generate image data of a second object associated with a swarm.

公开(公告)号：US20240211920A1

公开(公告)日：2024-06-27

申请号：US18490059

申请日：2023-10-19

Applicant: Fujitsu Limited

Inventor： Yuya OBINATA ,  Takuma YAMAMOTO ,  Daisuke UCHIDA

IPC: G06Q20/20 ,  G06V20/52

CPC classification number: G06Q20/208 ,  G06V20/52 ,  G06V2201/07

Abstract: A non-transitory computer-readable storage medium storing an alert generation program that causes at least one computer to execute a process, the process includes acquiring a video of a person who holds a merchandise to be registered in a checkout machine; specifying merchandise candidates corresponding to merchandises included in the video and a number of the merchandise candidates by inputting the acquired video to a machine learning model; acquiring items of merchandises registered by the person and a number of the items of the merchandises; and generating an alert indicating an abnormality of merchandises registered in the checkout machine based on the acquired items of the merchandises and the number of the items of the merchandises, and the specified merchandise candidates and the number of the merchandise candidates.

公开(公告)号：US20240203052A1

公开(公告)日：2024-06-20

申请号：US18066135

申请日：2022-12-14

Applicant: Nvidia Corporation

Inventor： Marco Foco ,  András Bódis-Szomorú ,  Isaac Deutsch ,  Artem Rozantsev ,  Michael Shelley ,  Gavriel State ,  Jiehan Wang ,  Anita Hu ,  Jean-Francois Lafleche

IPC: G06T17/20 ,  G06T7/33 ,  G06V10/82

CPC classification number: G06T17/20 ,  G06T7/33 ,  G06V10/82 ,  G06V2201/07

Abstract: Approaches presented herein can provide for the automatic generation of a digital representation of an environment that may include multiple objects of various object types. An initial representation (e.g., a point cloud) of the environment can be generated from registered image or scan data, for example, and objects in the environment can be segmented and identified based at least on that initial representation. For objects that are recognized based on these segmentations, stored accurate representations can be substituted for those objects in the representation of the environment, and if no such model is available then a mesh or other representation of that object can be generated and positioned in the environment. A result can then include a 3D representation of a scene or environment in which objects are identified and segmented as individual objects, and representations of the scene or environment can be viewed, and interacted with, through various viewports, positions, and perspectives.

公开(公告)号：US20240203022A1

公开(公告)日：2024-06-20

申请号：US18556382

申请日：2022-04-21

Applicant: ams-OSRAM Asia Pacific Pte. Ltd.

Inventor： Ho Hoai Duc NGUYEN

IPC: G06T15/00 ,  G06T7/62 ,  G06T7/70 ,  G06V10/141 ,  G06V10/60

CPC classification number: G06T15/00 ,  G06T7/62 ,  G06T7/70 ,  G06V10/141 ,  G06V10/60 ,  G06V2201/07

Abstract: A method of forming a three-dimensional image includes, first, capturing a first image of a field of view and then, subsequently, capturing range information. The method further includes forming the three-dimensional image, wherein the three-dimensional image is dependent on the first image. Capturing the first image of a field of view includes: illuminating the field of view with radiation; and determining an intensity of each of a plurality of pixels of reflected radiation from the field of view. Capturing the range information includes: illuminating the field of view with radiation; and determining a time delay of reflected radiation from the field of view for each of a plurality of pixels.