IMAGE PROCESSING DEVICE, IMAGE PROCESSING SYSTEM, AND IMAGE PROCESSING METHOD

    公开(公告)号:US20190251316A1

    公开(公告)日:2019-08-15

    申请号:US16398110

    申请日:2019-04-29

    CPC classification number: G06K9/00 G06K9/00785 G06K9/00805 G06T3/4038

    Abstract: An example image processing device obtains first images capturing a street, on which a target vehicle is running, from a plurality of directions, and position information indicating positions at which the first images are taken, and associates a background object in a second image with a background object in a third image. The second image is an image which the target object is detected from and the third image is an image which is taken by an imaging device having a common imaging range with the second image among imaging devices mounted on the target vehicle. An output image is generated to include the position information indicating a position at which the second image is taken, the image of the detection rectangle which is clipped from the second image and includes the target object and the background object, and the first image of surroundings of the target vehicle.

    METHOD AND SYSTEM FOR SCENE PARSING AND STORAGE MEDIUM

    公开(公告)号:US20190244358A1

    公开(公告)日:2019-08-08

    申请号:US16385333

    申请日:2019-04-16

    CPC classification number: G06T7/11 G06K9/00 G06K9/4604 G06K9/66 G06N3/08 G06T7/187

    Abstract: A method for scene parsing includes: performing a convolution operation on a to-be-parsed image by using a deep neural network to obtain a first feature map, the first feature map including features of at least one pixel in the image; performing a pooling operation on the first feature map to obtain at least one second feature map, a size of the second feature map being less than that of the first feature map; and performing scene parsing on the image according to the first feature map and the at least one second feature map to obtain a scene parsing result of the image, the scene parsing result including a category of the at least one pixel in the image. A system for scene parsing and a non-transitory computer-readable storage medium can facilitate realizing the method.

    Display Module
    5.
    发明申请
    Display Module 审中-公开

    公开(公告)号:US20190220643A1

    公开(公告)日:2019-07-18

    申请号:US16068448

    申请日:2017-06-09

    Inventor: Yan Ling Hong Zhu

    Abstract: A display module, including a self-luminous display panel and at least one point-shaped back light source, wherein in one of a plurality of optical fingerprint sensing areas of the self-luminous display panel, a largest square region whose center is closest to the point-shaped back light source is selected; in the largest square region, optical fingerprint sensing devices of the largest square region are divided into various device groups, and structures of the optical fingerprint sensing devices of the various device groups are configured. The structure of the display module is optimized to improve a fingerprint identification function of the display module.

    FINGERPRINT IDENTIFICATION MODULE WITH BACKLIGHT

    公开(公告)号:US20190213376A1

    公开(公告)日:2019-07-11

    申请号:US16333595

    申请日:2016-12-12

    CPC classification number: G06K9/0002 G02B6/0031 G02B6/005 G02B6/0068 G06K9/00

    Abstract: The present disclosure provides a fingerprint identification module with a backlight, including at least one light source connected to a circuit board and at least one transparent area defined in a panel; meanwhile, an adhesive layer between the fingerprint identification chip and the panel is thickened; with the adhesive layer being the main light guide medium, light emitting from the light source emits out from the transparent area in the panel through transmitting the adhesive layer; and the light source can be arranged outside a packaging material or packed inside the packaging material with a bare die. The fingerprint identification module of the present disclosure is capable of realizing the backlight function of the fingerprint identification module in a limited space as well as lightening the transparent pattern formed in the transparent area of the panel.

    Unsupervised Video Segmentation
    8.
    发明申请

    公开(公告)号:US20190188863A1

    公开(公告)日:2019-06-20

    申请号:US15849341

    申请日:2017-12-20

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes a computing system accessing a first training data comprising a first image and a second image and an associated optical flow estimation. The system may input (1) the first image into a first machine-learning model configured to generate a first output and (2) the optical flow estimation into a second machine-learning model configured to generate a second output. The first output of the first machine-learning model is associated with first image segments of a predetermined number, and the second output of the second machine-learning model is associated with transformations of the predetermined number. The first output, the transformations, and the first image are configured to generate an estimated image. The system trains the first machine-learning model and the second machine-learning model based on at least a comparison of the estimated image and the second image.

    Face Recognition Method and Device, and Picture Displaying Method and Device

    公开(公告)号:US20190156107A1

    公开(公告)日:2019-05-23

    申请号:US16093138

    申请日:2016-09-14

    Inventor: Jianpeng YIN

    Abstract: Disclosed are a face recognition method and device, and a picture display method and device. The face recognition method includes: performing illumination estimation processing on an original face image to obtain a first face image (step 101); performing wavelet transform processing on the original face image to obtain a face image component (step 102); performing inverse wavelet transform processing on the face image component to obtain a second face image (step 103); performing histogram clipping processing on the second face image to obtain a third face image (step 104); and recognizing a face according to the first face image and the third face image (step 105). Through the above face recognition method and device, and the picture display method and device, the face can be recognized by the mobile phone and the user does not need to input an instruction via a touch screen or a key to adjust a displayed content. Therefore, the operation amount of the user is reduced, the intelligent degree of the mobile phone is improved, the convenience and the practicability for the user to use the mobile phone are enhanced and the user experience is improved.

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