-
公开(公告)号:US20250061706A1
公开(公告)日:2025-02-20
申请号:US18452299
申请日:2023-08-18
Applicant: THE BOEING COMPANY
Inventor: Maurice Masequesmay , Kevin C. Hagen , Jonathan K. Lau
Abstract: A computing device, method and computer program product are provided to identify a feature. In a method, images are captured at different points in time and space and a reference plane is defined in a reference frame. The method includes applying image warping to map a plurality of reference points of a respective image in a sensor plane to corresponding reference points of the reference plane and mapping pixel coordinates for a plurality of pixels of the reference plane to the respective image based upon a positional relationship between the reference plane and a representation of the respective image established by having applied image warping to the respective image. The method further includes interpolating from pixels of the respective image to pixels at the pixel coordinates of the reference plane to generate an interpolated representation of the respective image that is then used to identify the feature within the scene.
-
公开(公告)号:US12229975B2
公开(公告)日:2025-02-18
申请号:US17379268
申请日:2021-07-19
Applicant: FARO Technologies, Inc.
Inventor: Jafar Parian
Abstract: According to one or more embodiments, a method includes capturing a first three-dimensional (3D) point cloud and a second 3D point cloud. Each of the 3D point clouds includes a plurality 3D coordinates corresponding to one or more objects scanned in a surrounding environment. The first 3D point cloud and the second 3D point cloud capturing at least one overlapping portion. Further, the method includes capturing a first ultrawide-angle image and a second ultrawide-angle image of the surrounding environment, the first ultrawide-angle image captures color information of the first 3D point cloud, and the second ultrawide-angle image captures color information of the second 3D point cloud. The method further includes registering the first 3D point cloud and the second 3D point cloud by mapping one or more features from the first ultrawide-angle image and the second ultrawide-angle image.
-
公开(公告)号:US20250046446A1
公开(公告)日:2025-02-06
申请号:US18927832
申请日:2024-10-25
Applicant: Dexcom, Inc.
Inventor: Eric JOHNSON , Michael Robert MENSINGER , Peter C. SIMPSON , Thomas HALL , Hari HAMPAPURAM , Kostyantyn SNISARENKO , Eli REIHMAN , Holly C. DRAKE , Kassandra CONSTANTINE
IPC: G16H40/67 , A61B5/00 , A61B5/145 , A61B5/1495 , G01N33/66 , G06F3/041 , G06F3/04847 , G06F3/0488 , G06F3/04883 , G06F3/04886 , G06T3/00 , G06T11/20 , G16H20/17 , G16H40/63 , H04N21/431
Abstract: This disclosure provides systems, methods and apparatus for processing, transmitting and displaying data received from an analyte sensor, such as a glucose sensor. The system may include a display device with at least one input device. In response to movement of or along the input device, the display device may change a glucose data output parameter and update an output of the display device using the changed output parameter.
-
4.
公开(公告)号:US12174922B2
公开(公告)日:2024-12-24
申请号:US17413321
申请日:2019-12-11
Applicant: Sparsit AB
Inventor: Ehsan Miandji , Jonas Unger , Per Larsson
Abstract: The present disclosure relates to a computer implemented method for representing a data set comprising at least one n dimensional data element representing visual information, said method comprising obtaining (210) said data set, obtaining (220) a dictionary ensemble comprising a plurality of dictionaries each comprising at least one basis function (102), assigning (230) each at least one data element to a dictionary, wherein a set of basis functions represents an m dimensional transformation domain, transforming (240) the at least one data element with the corresponding dictionary of basis functions to the transformation domain wherein each data element is defined by an associated coefficient set, sparsifying (250) the coefficient sets, forming (260) the representation of the visual information comprising a coefficient data set and the corresponding dictionaries.
-
公开(公告)号:US12169907B2
公开(公告)日:2024-12-17
申请号:US17534631
申请日:2021-11-24
Applicant: Lemon Inc.
Inventor: Guoxian Song , Jing Liu , Chunpong Lai , Linjie Luo
Abstract: Methods and systems for generating a texturized image are disclosed. Some examples may include: receiving an input image, receiving an exemplar texture image, generating, using an encoder, a first latent code vector representation based on the input image, generating, using a generative adversarial network generator, a second latent code vector representation based on the exemplar texture image, blending the first latent code vector representation and the second latent code vector representation to obtain a blended latent code vector representation, generating, by the GAN generator, a texturized image based on the blended latent code vector representation and providing the texturized image as an output image.
-
公开(公告)号:US12159406B2
公开(公告)日:2024-12-03
申请号:US18545542
申请日:2023-12-19
Applicant: ELUCID BIOIMAGING INC.
Inventor: Andrew J. Buckler , Kjell Johnson , Xiaonan Ma , Keith A Moulton , David S. Paik
IPC: G06T7/00 , G06F18/211 , G06F18/214 , G06F18/24 , G06N3/08 , G06N20/00 , G06T3/00 , G06T5/73 , G06T7/11 , G06V10/25 , G06V10/764 , G06V20/69
Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.
-
公开(公告)号:US20240386586A1
公开(公告)日:2024-11-21
申请号:US18320265
申请日:2023-05-19
Applicant: NVIDIA Corporation
Inventor: Alperen DEGIRMENCI , Jiwoong CHOI , Zhiding YU , Ke CHEN , Shubhranshu SINGH , Yashar ASGARIEH , Subhashree RADHAKRISHNAN , James SKINNER , Jose Manuel ALVAREZ LOPEZ
Abstract: In various examples, systems and methods are disclosed relating to using neural networks for object detection or instance/semantic segmentation for, without limitation, autonomous or semi-autonomous systems and applications. In some implementations, one or more neural networks receive an image (or other sensor data representation) and a bounding shape corresponding to at least a portion of an object in the image. The bounding shape can include or be labeled with an identifier, class, and/or category of the object. The neural network can determine a mask for the object based at least on processing the image and the bounding shape. The mask can be used for various applications, such as annotating masks for vehicle or machine perception and navigation processes.
-
公开(公告)号:US20240386537A1
公开(公告)日:2024-11-21
申请号:US18197427
申请日:2023-05-15
Applicant: Capital One Services, LLC
Inventor: Jie ZOU
Abstract: Disclosed herein are system, method, and computer program product embodiments for an image rectification system. An embodiment operates by receiving an image of a physical object comprising graphical data having an undefined perspective distortion. It is determined that an image transformation is to be performed on the received image. The image is provided to a neural network configured to generate a plurality of transformation parameters corresponding to the perspective distortion. The neural network is trained on a set of training data including a first set of images including objects having similar graphical data, to the received image, in a readable orientation, and a second set of images with a known perspective transformation. The image transformation is performed on the received image, based on the values for the plurality of transformation parameters, to generate a rectified image with the graphical data oriented within a readable threshold.
-
公开(公告)号:US12141975B2
公开(公告)日:2024-11-12
申请号:US18415137
申请日:2024-01-17
Applicant: ELUCID BIOIMAGING INC.
Inventor: Andrew J. Buckler , Kjell Johnson , Xiaonan Ma , Keith A. Moulton , David S. Paik
IPC: G06T7/00 , G06F18/211 , G06F18/214 , G06F18/24 , G06N3/08 , G06N20/00 , G06T3/00 , G06T5/73 , G06T7/11 , G06V10/25 , G06V10/764 , G06V20/69
Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.
-
公开(公告)号:US12136214B2
公开(公告)日:2024-11-05
申请号:US18415125
申请日:2024-01-17
Applicant: ELUCID BIOIMAGING INC.
Inventor: Andrew J. Buckler , Kjell Johnson , Xiaonan Ma , Keith A. Moulton , David S. Paik
IPC: G06T7/00 , G06F18/211 , G06F18/214 , G06F18/24 , G06N3/08 , G06N20/00 , G06T3/00 , G06T5/73 , G06T7/11 , G06V10/25 , G06V10/764 , G06V20/69
Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.
-
-
-
-
-
-
-
-
-