UTILIZING INTERACTIVE DEEP LEARNING TO SELECT OBJECTS IN DIGITAL VISUAL MEDIA

    公开(公告)号:US20190236394A1

    公开(公告)日:2019-08-01

    申请号:US16376704

    申请日:2019-04-05

    Applicant: Adobe Inc.

    CPC classification number: G06K9/3241 G06K9/4628 G06K2009/366

    Abstract: Systems and methods are disclosed for selecting target objects within digital images utilizing a multi-modal object selection neural network trained to accommodate multiple input modalities. In particular, in one or more embodiments, the disclosed systems and methods generate a trained neural network based on training digital images and training indicators corresponding to various input modalities. Moreover, one or more embodiments of the disclosed systems and methods utilize a trained neural network and iterative user inputs corresponding to different input modalities to select target objects in digital images. Specifically, the disclosed systems and methods can transform user inputs into distance maps that can be utilized in conjunction with color channels and a trained neural network to identify pixels that reflect the target object.

    METHOD AND SYSTEM FOR IDENTIFYING OBJECTS IN IMAGES

    公开(公告)号:US20170132469A1

    公开(公告)日:2017-05-11

    申请号:US15346620

    申请日:2016-11-08

    Applicant: Shoou Jiah Yiu

    CPC classification number: G06K9/3241 G06K9/00711 G06K2009/3291 G06K2009/366

    Abstract: Disclosed is a computer implemented method for identifying an object in a plurality of images. The method may include a step of receiving, through an input device, a delineation of the object in at least one image of the plurality of images. Further, the method may include a step of identifying, using the processor, an image region corresponding to the object in the at least one image based on the delineation. Furthermore, the method may include a step of tracking, using the processor, the image region across the plurality of images.

    SELECTIVE PROCESSING OF SENSOR DATA
    8.
    发明申请
    SELECTIVE PROCESSING OF SENSOR DATA 有权
    选择性处理传感器数据

    公开(公告)号:US20170045895A1

    公开(公告)日:2017-02-16

    申请号:US15167154

    申请日:2016-05-27

    Inventor: Tao WANG Jiaqi YAN

    Abstract: Systems and methods for navigating a vehicle within an environment are provided. In one aspect, a method comprises: (a) selecting, with aid of a processor, a subset of a plurality of sensors to be used for navigating the vehicle within the environment based on one or more predetermined criteria, wherein the plurality of sensors are arranged on the vehicle such that each sensor of the plurality of sensors is configured to obtain sensor data from a different field of view; (b) processing, with aid of the processor, the sensor data from the selected sensor(s) so as to generate navigation information for navigating the vehicle within the environment; and (c) outputting, with aid of the processor, signals for controlling the vehicle based on the navigation information.

    Abstract translation: 提供了用于在环境中导航车辆的系统和方法。 一方面,一种方法包括:(a)借助于处理器,根据一个或多个预定准则,选择要用于在环境内导航车辆的多个传感器的子集,其中所述多个传感器是 布置在车辆上,使得多个传感器中的每个传感器被配置成从不同的视野获得传感器数据; (b)借助于处理器处理来自所选择的传感器的传感器数据,以便产生用于在环境内导航车辆的导航信息; 以及(c)借助于处理器,根据导航信息输出用于控制车辆的信号。

    Method and apparatus for identifying a desired object of an image using a suggestive marking
    9.
    发明授权
    Method and apparatus for identifying a desired object of an image using a suggestive marking 有权
    使用提示标记识别图像的期望对象的方法和装置

    公开(公告)号:US09460362B2

    公开(公告)日:2016-10-04

    申请号:US14298006

    申请日:2014-06-06

    Abstract: A computer implemented method and apparatus for identifying a desired object of an image by using a suggestive marking. The method comprises receiving a first marking to an image, the first marking suggesting a desired object of the image and the desired object being defined by a boundary; generating, based on the first marking, a plurality of output images, wherein each image of the plurality of output images indicates a computer-identified object; and displaying the plurality of output images.

    Abstract translation: 一种用于通过使用提示标记来识别图像的期望对象的计算机实现的方法和装置。 所述方法包括:向图像接收第一标记,所述第一标记表示所述图像的期望对象,所述期望对象由边界定义; 基于所述第一标记生成多个输出图像,其中所述多个输出图像中的每个图像指示计算机识别的对象; 并显示多个输出图像。

    Adjusting a contour by a shape model
    10.
    发明授权
    Adjusting a contour by a shape model 有权
    通过形状模型调整轮廓

    公开(公告)号:US09202138B2

    公开(公告)日:2015-12-01

    申请号:US13645463

    申请日:2012-10-04

    CPC classification number: G06K9/6209 G06K9/00228 G06K9/2081 G06K2009/366

    Abstract: Various embodiments of methods and apparatus for feature point localization are disclosed. A profile model and a shape model may be applied to an object in an image to determine locations of feature points for each object component. Input may be received to move one of the feature points to a fixed location. Other ones of the feature points may be automatically adjusted to different locations based on the moved feature point.

    Abstract translation: 公开了用于特征点定位的方法和装置的各种实施例。 轮廓模型和形状模型可以应用于图像中的对象,以确定每个对象分量的特征点的位置。 可以接收输入以将特征点中的一个移动到固定位置。 其他特征点可以根据所移动的特征点自动调整到不同的位置。

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