METHOD AND AN APPARATUS FOR SELECTING A PIXEL'S MASK

    公开(公告)号:US20240242361A1

    公开(公告)日:2024-07-18

    申请号:US18156061

    申请日:2023-01-18

    申请人: INUITIVE LTD.

    IPC分类号: G06T7/33 G06F17/10

    CPC分类号: G06T7/33 G06F17/10

    摘要: A computational platform and a method for use in a process of matching pairs of pixels, wherein each of the members of a pixel's pair belong to another image captured by a different image capturing sensor, and wherein the computational platform comprises at least one processor configured to carry out a process of matching pairs of pixels based on selecting a pixel mask to be used by selecting neighboring pixels of a given pixel from among all of its neighboring pixels, will be used for the matching process of said given pixel with the other member of its pixel's pair.

    Optimizing aircraft flows at airports using data driven predicted capabilities

    公开(公告)号:US12026440B1

    公开(公告)日:2024-07-02

    申请号:US17985850

    申请日:2022-11-12

    摘要: A method for use of airport runway capacity includes receiving, at an air traffic control system at an airport, airport data related to movement areas of the airport, time data related to a time period, aircraft data related to a plurality of aircraft expected to operate into and out of the airport during the time period, and environmental data related to environmental conditions predicted for the airport during the time period. The method further includes computing a probability distribution for inter-aircraft spacing by applying the airport data, the time data, the aircraft data, and the environmental data to a trained Bayesian network, producing the probability distribution for the inter-aircraft spacing as an output observation of the trained Bayesian network, and, using the probability distribution and a confidence value, identifying an inter-aircraft spacing value for the plurality of aircraft expected to operate into and out of the airport during the time period.

    SURFACE PATCH TECHNIQUES FOR COMPUTATIONAL GEOMETRY

    公开(公告)号:US20240193313A1

    公开(公告)日:2024-06-13

    申请号:US18581410

    申请日:2024-02-20

    申请人: CAD-Sense LLC

    发明人: Alyn P. Rockwood

    摘要: A method and system for computer aided design (CAD) is disclosed for designing geometric objects, wherein interpolation and/or blending between such objects is performed while deformation data is being input. Thus, a designer obtains immediate feedback to input modifications without separately entering a command(s) for performing such deformations. A novel N-sided surface generation technique is also disclosed herein to efficiently and accurately convert surfaces of high polynomial degree into a collection of lower degree surfaces. E.g., the N-sided surface generation technique disclosed herein subdivides parameter space objects (e.g., polygons) of seven or more sides into a collection of subpolygons, wherein each subpolygon has a reduced number of sides. More particularly, each subpolygon has 3 or 4 sides. The present disclosure is particularly useful for designing the shape of surfaces. Thus, the present disclosure is applicable to various design domains such as the design of, e.g., bottles, vehicles, and watercraft. Additionally, the present disclosure provides for efficient animation via repeatedly modifying surfaces of an animated object such as a representation of a face.

    DYNAMIC OUTLIER BIAS REDUCTION SYSTEM AND METHOD

    公开(公告)号:US20240152571A1

    公开(公告)日:2024-05-09

    申请号:US18407017

    申请日:2024-01-08

    发明人: Richard B. Jones

    摘要: A system and method is described herein for data filtering to reduce functional, and trend line outlier bias. Outliers are removed from the data set through an objective statistical method. Bias is determined based on absolute, relative error, or both. Error values are computed from the data, model coefficients, or trend line calculations. Outlier data records are removed when the error values are greater than or equal to the user-supplied criteria. For optimization methods or other iterative calculations, the removed data are re-applied each iteration to the model computing new results. Using model values for the complete dataset, new error values are computed and the outlier bias reduction procedure is re-applied. Overall error is minimized for model coefficients and outlier removed data in an iterative fashion until user defined error improvement limits are reached. The filtered data may be used for validation, outlier bias reduction and data quality operations.