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).

    Visual object tracking system with model validation and management

    公开(公告)号:US09727786B2

    公开(公告)日:2017-08-08

    申请号:US14541981

    申请日:2014-11-14

    CPC classification number: G06K9/00711 G06K9/4642 G06K9/4652 G06T7/246

    Abstract: System, apparatus, method, and computer readable media for on-the-fly captured image data object tracking. An image or video stream is processed to detect and track an object in concurrence with generation of the stream by a camera module. In one exemplary embodiment, HD image frames are processed at a rate of 30 fps, or more, to track one or more target object. In embodiments, object detection is validated prior to employing detected object descriptor(s) as learning data to generate or update an object model. A device platform including a camera module and comporting with the exemplary architecture may provide 3A functions based on objects robustly tracked in accordance with embodiments.

    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。

    Methods and apparatus to convert images for computer-vision systems

    公开(公告)号:US11335106B2

    公开(公告)日:2022-05-17

    申请号:US16649566

    申请日:2017-11-29

    Abstract: An example computer-vision system to convert images 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).

    Face detection method and apparatus with lookup table
    9.
    发明授权
    Face detection method and apparatus with lookup table 有权
    人脸检测方法和装置与查找表

    公开(公告)号:US09460338B2

    公开(公告)日:2016-10-04

    申请号:US14566312

    申请日:2014-12-10

    Abstract: Apparatuses, methods and storage medium associated with face detection are disclosed. In embodiments, an apparatus may comprise one or more processors, cache memory, a lookup table of feature patterns, and a face detector. The lookup table is to be loaded into the cache memory, during operation, for use to detect whether a face is present in an image. The feature patterns within the lookup table are organized within the lookup table in accordance with relative connectivity of the feature patterns. The face detector to detect whether a face is present in an image, may use the lookup table of feature patterns loaded into the cache memory during detection for the face. Other embodiments may be described and/or claimed.

    Abstract translation: 公开了与面部检测相关联的装置,方法和存储介质。 在实施例中,装置可以包括一个或多个处理器,高速缓冲存储器,特征图案的查找表和面部检测器。 在操作期间,查找表将被加载到高速缓冲存储器中,以用于检测图像中是否存在面部。 根据特征图案的相对连接性,查找表内的特征图案被组织在查找表内。 用于检测脸部是否存在于图像中的脸部检测器可以在检测脸部期间使用加载到高速缓冲存储器中的特征图案的查找表。 可以描述和/或要求保护其他实施例。

    Avatar animation system
    10.
    发明授权

    公开(公告)号:US10475225B2

    公开(公告)日:2019-11-12

    申请号:US15124811

    申请日:2015-12-18

    Abstract: Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor. The machine learning component may be trained using a set of training images that depict human facial expressions and avatar animation authored by professional animators to reflect facial expressions depicted in the set of training images.

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