IMAGE PROCESSING METHOD AND APPARATUS

    公开(公告)号:US20220245834A1

    公开(公告)日:2022-08-04

    申请号:US17728308

    申请日:2022-04-25

    Abstract: An image processing method includes acquiring an image frame; tracking a face region of a user based on first prior information obtained from at least one previous frame of the image frame; based on a determination that tracking of the face region based on the first prior information has failed, setting a scan region in the image frame based on second prior information obtained from the at least one previous frame; and detecting the face region in the image frame based on the scan region.

    METHOD OF TRAINING CLASSIFIER AND DETECTING OBJECT
    14.
    发明申请
    METHOD OF TRAINING CLASSIFIER AND DETECTING OBJECT 审中-公开
    培训分类器和检测对象的方法

    公开(公告)号:US20170053211A1

    公开(公告)日:2017-02-23

    申请号:US15019146

    申请日:2016-02-09

    CPC classification number: G06N20/00

    Abstract: A classifier training method includes detecting error data from training data; and training a classifier configured to detect an object based on the error data.

    Abstract translation: 分类器训练方法包括从训练数据中检测误差数据; 并训练配置成基于错误数据检测对象的分类器。

    METHOD AND APPARATUS FOR GENERATING THREE-DIMENSIONAL IMAGE
    15.
    发明申请
    METHOD AND APPARATUS FOR GENERATING THREE-DIMENSIONAL IMAGE 有权
    用于生成三维图像的方法和装置

    公开(公告)号:US20160156902A1

    公开(公告)日:2016-06-02

    申请号:US14813626

    申请日:2015-07-30

    CPC classification number: H04N13/117 H04N13/376

    Abstract: A method for generating a three-dimensional (3D) image may detect a current eye position of a user and render a 3D image based on at least one of a previously detected eye position of the user and previously generated stereo images. A cycle at which the current eye position of user is detected and a cycle at which a 3D image is rendered may be asynchronous.

    Abstract translation: 用于生成三维(3D)图像的方法可以基于先前检测到的用户的眼睛位置和先前生成的立体图像中的至少一个来检测用户的当前眼睛位置并渲染3D图像。 检测到用户的当前眼睛位置和渲染3D图像的周期的周期可以是异步的。

    METHOD AND APPARATUS FOR PROCESSING ARRAY IMAGE

    公开(公告)号:US20240112440A1

    公开(公告)日:2024-04-04

    申请号:US18236635

    申请日:2023-08-22

    Abstract: A method and apparatus for array image processing are provided. The method includes receiving sub images corresponding to different views of an input array image generated through an array lens, generating temporary restored images based on the sub images using a gradient between neighboring pixels of each of the sub images, determining matching information based on a view difference between pixels of the sub images using a neural network model, based on a pixel distance between matching pairs of the pixels of the sub images using the matching information, extracting refinement targets from the matching pairs, refining the matching information by replacing at least some of target pixels included in the refinement targets based on a local search of a region based on pixel locations of the refinement targets, and generating an output image of a single view by merging the temporary restored images based on the refined matching information.

    IMAGING METHOD AND DEVICE FOR AUTOFOCUSING
    18.
    发明公开

    公开(公告)号:US20240111203A1

    公开(公告)日:2024-04-04

    申请号:US18121323

    申请日:2023-03-14

    CPC classification number: G03B13/36 G02B3/0075 G03B3/10

    Abstract: An imaging device includes an imaging lens array including a plurality of imaging lenses each with a same focal length, the plurality of imaging lenses being configured to capture a scene; a sensing array comprising a plurality of sensors configured to receive light passing through the plurality of imaging lenses; a processor configured to determine a scene depth plane corresponding to the scene based on a comparison, for each of a plurality of candidate depths, between reference pixel values based on first sensors of the plurality of sensors corresponding to a reference imaging lens of the plurality of imaging lenses and target pixel values that are based on second sensors of the plurality of sensors corresponding to a target imaging lens of the plurality of image lenses; and a lens driver configured to position the imaging lens array to be disposed at a point corresponding to the scene depth plane.

    METHOD AND APPARATUS OF PROCESSING IMAGE

    公开(公告)号:US20230079203A1

    公开(公告)日:2023-03-16

    申请号:US17987240

    申请日:2022-11-15

    Abstract: An image processing method and an image processing apparatus are provided. The image processing method includes acquiring information of a first region of interest (ROI) in a first frame, estimating information of a second ROI in a second frame that is received after the first frame, based on the acquired information of the first ROI, and sequentially storing, in a memory, subframes that are a portion of the second frame, each of the subframes being a line of the second frame. The image processing method further includes determining whether a portion of the stored subframes includes the second ROI, based on the estimated information of the second ROI, and based on the portion of the stored subframes being determined to include the second ROI, processing the portion of the stored subframes.

    METHOD AND APPARATUS WITH IMAGE PROCESSING

    公开(公告)号:US20230060314A1

    公开(公告)日:2023-03-02

    申请号:US17748180

    申请日:2022-05-19

    Abstract: A method with image processing includes: receiving an input image including Bayer images captured by a plurality of lenses included in a lens assembly; generating channel separation images by separating each of the Bayer images by a plurality of channels; determining corresponding points such that pixels in the channel separation images are displayed at the same position on a projection plane, for each of the plurality of lenses; performing binning on the channel separation images, based on a brightness difference and a distance difference between a target corresponding point and a center of a pixel including the target corresponding point, corresponding to each of the corresponding points in channel separation images that correspond to a same channel and that are combined into one image, for each of the plurality of lenses; restoring the input image for each of the plurality of lenses based on binned images generated by performing the binning; and outputting the restored input image.

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