Object Detection Method And System

    公开(公告)号:US20240427017A1

    公开(公告)日:2024-12-26

    申请号:US18532778

    申请日:2023-12-07

    Inventor: Mi Rim Noh

    Abstract: Disclosed is an object detection method that drives an object detection system having a processor. The object detection method includes, based on detecting an object in a region of interest within a predetermined distance from a vehicle via a sensor of the vehicle, extracting, from points in a point cloud associated with the object, contour points of the object, determining a horizontal region of the contour segment, determining whether a point density condition is satisfied, determining that at least one of the first or second contour points is unrelated to the object, and removing one of the first contour point or the second contour point from the point cloud.

    SYSTEM AND METHOD FOR COMPRESSING A CAPTURED IMAGE

    公开(公告)号:US20240355006A1

    公开(公告)日:2024-10-24

    申请号:US18763763

    申请日:2024-07-03

    Inventor: Ryan J. Simpson

    CPC classification number: G06T9/20 B07C3/14 G06T7/13

    Abstract: This application relates to a system for compressing captured images. The system may include an image capturing device configured to continuously capture images, for example, of a location, or frame, or field of view, and convert the captured images respectively into a plurality of sets of digital data, each of the plurality of sets of digital data including at least two consecutive rows of digital data. The system may also include a processor circuit configured to combine the at least two sets of the plurality of sets of digital data to generate a pre-compression set of digital data and simultaneously compress the pre-compression set of digital data simultaneously or together in a single compression operation.

    APPARATUS AND SYSTEM FOR SELECTIVE DATA COMPRESSION

    公开(公告)号:US20240242392A1

    公开(公告)日:2024-07-18

    申请号:US18561704

    申请日:2022-05-17

    Applicant: Urugus S.A.

    CPC classification number: G06T9/002 G06T3/4046 G06T9/20 G06V20/13

    Abstract: Apparatuses, methods and systems for selective data compression are described. Apparatuses for selective data compression comprise one or modules executable to analyze data to generate analysis results, determine and associate appeal factor values with the data or portions thereof, and compress the data with the compression configurations associated with the appeal factor values. The apparatuses may be employed to compress data on-board manned or unmanned aerial vehicles or other devices. Through use of data analysis, including but not limited to artificial intelligence analysis, image analysis, meta-data analysis, in orbit analysis, and so forth, the manned or unmanned aerial vehicles may compress data collected, generated and/or stored in the vehicle based on data content, data contextual information, data collection opportunity, a priori information, change detection, and/or a particular task the vehicle is tasked to perform (application).

    Systems and methods for compressing vector graphics

    公开(公告)号:US20230419556A1

    公开(公告)日:2023-12-28

    申请号:US18211239

    申请日:2023-06-17

    Applicant: Canva Pty Ltd

    CPC classification number: G06T9/20

    Abstract: Described herein is a computer implemented method for compressing a shape. The method includes: receiving input shape data defining first and second original shape commands and generating first and second compressed shape commands corresponding thereto. Generating the second compressed shape command includes generating a relative shape command that is a version of the second original shape command in which parameters are relatively defined; generating an absolute shape command that is a version of the second original shape command in which parameters are absolutely defined; and selecting a smaller or equal smallest of the relative shape command and the absolute shape command to be the second compressed shape command.

    IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD THEREOF

    公开(公告)号:US20230298220A1

    公开(公告)日:2023-09-21

    申请号:US18323351

    申请日:2023-05-24

    CPC classification number: G06T9/20 G06T5/009 G06T5/002 G06T5/50 G06T2207/20192

    Abstract: An image processing method including the following steps is provided. An image information of an image is received, wherein the image includes a plurality of blocks and the image information includes a plurality of pixel information of each block. A dual gamma correction is performed on a first group of blocks of the image to obtain one or more corrected blocks and the dual gamma correction is skipped on a second group of blocks of the image to obtain a plurality of uncorrected blocks. A first encoding process is performed on the one or more corrected blocks to obtain a plurality of first encoded blocks. A second encoding process different from the first encoding process is performed on the plurality of uncorrected blocks to obtain a plurality of second encoded blocks.

    Efficient coding of depth transitions in 3D video

    公开(公告)号:US11601659B2

    公开(公告)日:2023-03-07

    申请号:US17545049

    申请日:2021-12-08

    Abstract: A method of encoding a video data signal (15) is provided, together with a method for decoding. The encoding comprises providing color information (51) for pixels in an image, providing a depth map with depth information (52) for the pixels, providing transition information (56, 57, 60, 70, 71) being representative of a width (63, 73) of a transition region (61, 72) in the image, the transition region (61, 72) comprising a depth transition (62) and blended pixels in which colors of a foreground object and a background object are blended, and generating (24) the video data signal (15) comprising encoded data representing the color information (51), the depth map (52) and the transition information (56, 57, 60, 70, 71). The decoding comprises using the transition information (56, 57, 60, 70, 71) for determining the width (63, 73) of the transition regions (61, 72) and for determining alpha values (53) for pixels inside the transition regions (61, 72). The determined alpha values (53) are used for determining the color of a blended pixel at the transition of a foreground object and a background object.

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