IMAGE MONITORING APPARATUS AND METHOD

    公开(公告)号:US20210334983A1

    公开(公告)日:2021-10-28

    申请号:US16858718

    申请日:2020-04-27

    Abstract: An image monitoring apparatus including an image sensing module and a processor is provided. The image sensing module is configured to obtain an invisible light dynamic image of an objective scene. The invisible light dynamic image includes a plurality of frames. The processor is configured to perform operations according to at least one frame of the invisible light dynamic image to determine a status of at least one live body corresponding to the objective scene to be one of a plurality of status types and determine at least one status valid region of the invisible light dynamic image, and set scene information of each pixel of the at least one status valid region to be one of a plurality of scene types according to the status type of the at least one live body. An image monitoring method is also provided.

    ELECTRONIC DEVICE, IRIS RECOGNITION METHOD AND COMPUTER-READABLE MEDIUM

    公开(公告)号:US20190303645A1

    公开(公告)日:2019-10-03

    申请号:US15960559

    申请日:2018-04-24

    Abstract: An electronic device, an iris recognition method and a non-volatile computer-readable medium are provided. A processor in the electronic device obtains a first and second iris images, and calculates a plurality of first and second feature mark boxes that are non-uniformly arranged according to the first and second iris images. The processor uses the first feature mark boxes to obtain a first and second image features from the first and second iris images respectively, and compares the first and second image features to obtain a first recognition result. The processor uses the second feature mark boxes to obtain a third and fourth image features from the second and first iris images respectively, and compares the third and fourth image features to obtain a second recognition result. The processor determines a similarity degree of the first and second iris images according to the first and second recognition results.

    Image transform method and image transform network

    公开(公告)号:US11238624B2

    公开(公告)日:2022-02-01

    申请号:US16808345

    申请日:2020-03-03

    Abstract: Provided are an image transform method and an image transform network. The method is for the image transform network including an image generator, a transform discriminator and a focus discriminator, and includes: generating a transformed image according to an un-transformed image and focus information by the image generator; computing a transform discrimination value according to the transformed image by the transform discriminator; computing a value of a first generator loss function and updating the image generator by the image generator; generating a focus discrimination value according to the un-transformed image, the transformed image, and the focus information by the focus discriminator; and computing a value of a second generator loss function according to the focus discrimination value and updating the image generator according to the value of the second generator loss function by the image generator.

    IMAGE TRANSFORM METHOD AND IMAGE TRANSFORM NETWORK

    公开(公告)号:US20210118195A1

    公开(公告)日:2021-04-22

    申请号:US16808345

    申请日:2020-03-03

    Abstract: Provided are an image transform method and an image transform network. The method is for the image transform network including an image generator, a transform discriminator and a focus discriminator, and includes: generating a transformed image according to an un-transformed image and focus information by the image generator; computing a transform discrimination value according to the transformed image by the transform discriminator; computing a value of a first generator loss function and updating the image generator by the image generator; generating a focus discrimination value according to the un-transformed image, the transformed image, and the focus information by the focus discriminator; and computing a value of a second generator loss function according to the focus discrimination value and updating the image generator according to the value of the second generator loss function by the image generator.

    Method and apparatus for object positioning by using depth images
    5.
    发明授权
    Method and apparatus for object positioning by using depth images 有权
    通过深度图像进行物体定位的方法和装置

    公开(公告)号:US09117138B2

    公开(公告)日:2015-08-25

    申请号:US13726454

    申请日:2012-12-24

    Abstract: According to an exemplary embodiment, a method for object positioning by using depth images is executed by a hardware processor as following: converting depth information of each of a plurality of pixels in each of one or more depth images into a real world coordinate; based on the real world coordinate, computing a distance of each pixel to an edge in each of a plurality of directions; assigning a weight to the distance of each pixel to each edge; and based on the weight of the distance of each pixel to each edge and a weight limit, selecting one or more extremity positions of an object.

    Abstract translation: 根据示例性实施例,通过使用深度图像的对象定位的方法由硬件处理器执行如下:将一个或多个深度图像中的每一个中的多个像素中的每一个的深度信息转换为真实世界坐标; 基于所述真实世界坐标,计算每个像素与多个方向中的每个方向上的边缘的距离; 将每个像素的距离分配给每个边缘; 并且基于每个像素到每个边缘的距离的权重和重量限制,选择对象的一个​​或多个末端位置。

    Facial Recognition System and Physiological Information Generative Method

    公开(公告)号:US20240215861A1

    公开(公告)日:2024-07-04

    申请号:US18512052

    申请日:2023-11-17

    CPC classification number: A61B5/0878 G06V40/168 G08B21/0202

    Abstract: A facial recognition system and a physiological information generative method are disclosed. The facial recognition system includes a visible light sensor, a thermal imaging sensor, and a processor. The generative method is executed by the processor, using a real-time object detection algorithm. The generative method includes receiving one or more current visible and thermal images, and identifying the nasal area in the current thermal images when a face region in the current visible images is not identifiable by the real-time object detection algorithm in the processor; determining in the processor that respiratory information is abnormal according to the cycles of exhalation and inhalation, as detected through brightness changes in the nostril area; and notifying abnormal respiratory information.

    Controlling system and controlling method for virtual display

    公开(公告)号:US10890979B2

    公开(公告)日:2021-01-12

    申请号:US15959665

    申请日:2018-04-23

    Abstract: A controlling system and a controlling method for virtual display are provided. The controlling system for virtual display includes a visual line tracking unit, a space forming unit, a hand information capturing unit, a transforming unit and a controlling unit. The visual line tracking unit is used for tracking a visual line of a user. The space forming unit is used for forming a virtual display space according to the visual line. The hand information capturing unit is used for obtaining a hand location of the user's one hand in a real operation space. The transforming unit is used for transforming the hand location to be a cursor location in the virtual display space. The controlling unit is used for controlling the virtual display according to the cursor location.

    Electronic device, iris recognition method and computer-readable medium

    公开(公告)号:US10474893B2

    公开(公告)日:2019-11-12

    申请号:US15960559

    申请日:2018-04-24

    Abstract: An electronic device, an iris recognition method and a non-volatile computer-readable medium are provided. A processor in the electronic device obtains a first and second iris images, and calculates a plurality of first and second feature mark boxes that are non-uniformly arranged according to the first and second iris images. The processor uses the first feature mark boxes to obtain a first and second image features from the first and second iris images respectively, and compares the first and second image features to obtain a first recognition result. The processor uses the second feature mark boxes to obtain a third and fourth image features from the second and first iris images respectively, and compares the third and fourth image features to obtain a second recognition result. The processor determines a similarity degree of the first and second iris images according to the first and second recognition results.

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