METHODS AND APPARATUS TO CONVERT IMAGES FOR COMPUTER-VISION SYSTEMS

    公开(公告)号:US20200242355A1

    公开(公告)日:2020-07-30

    申请号:US16649566

    申请日:2017-11-29

    Abstract: Methods and apparatus to convert images for computer-vision systems are disclosed. An example computer-vision system includes an image converter (112) to convert a near infrared light first image (202) to form a visible light image (206), and to update a coefficient of the image converter (112) based on a difference (214), an object recognizer (102) to recognize an object (208) in the first visible light image (206), and an object recognition analyzer (210) to determine the difference (214) between the object (208) recognized in the first visible light image (206) and an object (212) associated with the near infrared light image (202).

    TECHNOLOGIES FOR IMPROVED OBJECT DETECTION ACCURACY WITH MULTI-SCALE REPRESENTATION AND TRAINING

    公开(公告)号:US20180165551A1

    公开(公告)日:2018-06-14

    申请号:US15372953

    申请日:2016-12-08

    CPC classification number: G06K9/3233 G06K9/4628 G06N3/0454

    Abstract: Technologies for multi-scale object detection include a computing device including a multi-layer convolution network and a multi-scale region proposal network (RPN). The multi-layer convolution network generates a convolution map based on an input image. The multi-scale RPN includes multiple RPN layers, each with a different receptive field size. Each RPN layer generates region proposals based on the convolution map. The computing device may include a multi-scale object classifier that includes multiple region of interest (ROI) pooling layers and multiple associated fully connected (FC) layers. Each ROI pooling layer has a different output size, and each FC layer may be trained for an object scale based on the output size of the associated ROI pooling layer. Each ROI pooling layer may generate pooled ROIs based on the region proposals and each FC layer may generate object classification vectors based on the pooled ROIs. Other embodiments are described and claimed.

    FACILITATING EFFICEINT FREE IN-PLANE ROTATION LANDMARK TRACKING OF IMAGES ON COMPUTING DEVICES
    4.
    发明申请
    FACILITATING EFFICEINT FREE IN-PLANE ROTATION LANDMARK TRACKING OF IMAGES ON COMPUTING DEVICES 审中-公开
    在计算机设备上实现图像的免费平面图旋转朗读跟踪

    公开(公告)号:US20160300099A1

    公开(公告)日:2016-10-13

    申请号:US14762687

    申请日:2014-09-25

    Abstract: A mechanism is described for facilitating efficient free in-plane rotation landmark tracking of images on computing devices according to one embodiment. A method of embodiments, as described herein, includes detecting a first frame having a first image and a second frame having a second image, where the second image is rotated to a position away from the first image. The method may further include assigning a first parameter line and a second parameter line to the second image based on landmark positions associated with the first and second images, detecting a rotation angle between the first parameter line and the second parameter line, and rotating the second image back and forth within a distance associated with the rotation angle to verify positions of the first and second images.

    Abstract translation: 描述了根据一个实施例的用于促进计算设备上的图像的有效的自由面内旋转地标跟踪的机构。 如本文所述的实施例的方法包括检测具有第一图像的第一帧和具有第二图像的第二帧,其中第二图像旋转到远离第一图像的位置。 该方法还可以包括基于与第一和第二图像相关联的界标位置向第二图像分配第一参数线和第二参数线,检测第一参数线和第二参数线之间的旋转角度,以及旋转第二参数线 在与旋转角度相关联的距离内来回显示图像,以验证第一和第二图像的位置。

    Method, apparatus and computer-readable recording medium for managing images in image database
    8.
    发明授权
    Method, apparatus and computer-readable recording medium for managing images in image database 有权
    用于管理图像数据库中的图像的方法,装置和计算机可读记录介质

    公开(公告)号:US09471603B2

    公开(公告)日:2016-10-18

    申请号:US14129328

    申请日:2013-02-15

    CPC classification number: G06F17/30277 G06F17/30247 G06F17/3028

    Abstract: Managing images in an image database is described, comprising: when a query image is input, performing a match to determine whether an image similar to the query image exists within the database by comparing the images stored in the database with the query image; and if the image similar to the query image is a recognized image, providing at least one image in an image group to which the recognized image belongs and information thereon as a result, and if the image similar to the query image is an unrecognized image, providing at least one image in an image group to which the unrecognized image belongs as a result. When at least one image of the image group including the image similar to the query image is a recognized image, information on the corresponding recognized image is assigned to the images in the image group and provided as a result.

    Abstract translation: 描述管理图像数据库中的图像,包括:当输入查询图像时,通过将存储在数据库中的图像与查询图像进行比较,执行匹配以确定与查询图像相似的图像是否存在于数据库内; 并且如果与查询图像类似的图像是识别的图像,则在所识别的图像所属的图像组中提供至少一个图像,并且在其上提供关于其的信息,并且如果与查询图像相似的图像是无法识别的图像, 作为结果,在不能识别的图像所属的图像组中提供至少一个图像。 当包括与查询图像相似的图像的图像组的至少一个图像是识别的图像时,关于相应的识别图像的信息被分配给图像组中的图像并作为结果。

    FACE RECOGNITION USING GRADIENT BASED FEATURE ANALYSIS
    9.
    发明申请
    FACE RECOGNITION USING GRADIENT BASED FEATURE ANALYSIS 有权
    使用基于梯度特征分析的脸部识别

    公开(公告)号:US20160132718A1

    公开(公告)日:2016-05-12

    申请号:US14535133

    申请日:2014-11-06

    CPC classification number: G06K9/3275 G06K9/00248

    Abstract: Computer-readable storage media, computing devices and methods are discussed herein. In embodiments, a computing device may be configured to perform facial recognition based on gradient based feature extractions of images of faces. In embodiments, the computing device may be configured to determine directional matching patterns of the images from the gradient based feature extraction and may utilize these directional matching patterns in performing a facial recognition analysis of the images of faces. Other embodiments may be described and/or claimed.

    Abstract translation: 本文讨论了计算机可读存储介质,计算设备和方法。 在实施例中,计算设备可以被配置为基于面部图像的基于梯度的特征提取来执行面部识别。 在实施例中,计算设备可以被配置为从基于梯度的特征提取来确定图像的方向匹配模式,并且可以在对面部图像执行面部识别分析时利用这些方向匹配模式。 可以描述和/或要求保护其他实施例。

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