Generation of ghost-free high dynamic range images
    1.
    发明授权
    Generation of ghost-free high dynamic range images 有权
    生成无重影的高动态范围图像

    公开(公告)号:US09338349B2

    公开(公告)日:2016-05-10

    申请号:US14012534

    申请日:2013-08-28

    Abstract: Apparatuses and methods for reading a set of images to merge together into a high dynamic range (HDR) output image are described. Images have a respective HDR weight and a respective ghost-free weight. Images are merged together using the weighted average of the set of input images using the ghost-free weight. A difference image is determined based on a difference between each pixel within a HDR output image and each respective pixel within a reference image used to create the HDR output image.

    Abstract translation: 描述用于读取一组图像以将其合并成高动态范围(HDR)输出图像的装置和方法。 图像具有相应的HDR权重和相应的无重影重量。 使用无重影重量的输入图像集合的加权平均值将图像合并在一起。 基于HDR输出图像内的每个像素与用于创建HDR输出图像的参考图像中的每个相应像素之间的差异来确定差异图像。

    SYSTEM AND METHOD TO CAPTURE IMAGES WITH REDUCED BLURRINESS IN LOW LIGHT CONDITIONS
    2.
    发明申请
    SYSTEM AND METHOD TO CAPTURE IMAGES WITH REDUCED BLURRINESS IN LOW LIGHT CONDITIONS 有权
    系统和方法在低光条件下捕获具有减少蓝光的图像

    公开(公告)号:US20150195464A1

    公开(公告)日:2015-07-09

    申请号:US14252560

    申请日:2014-04-14

    CPC classification number: H04N5/3537 H04N5/23277 H04N5/2355 H04N9/045

    Abstract: Methods, devices, and computer program products for capturing images with reduced blurriness in low light conditions are contained herein. In one aspect, a method of capturing an image is disclosed. The method includes capturing a plurality of first images with a first exposure length. The method further includes aligning each of the plurality of first images with each other and combining the aligned plurality of first images into a combined first image. The method further includes capturing a second image with a second exposure length, wherein the second exposure length is longer than the first exposure length and using the second image to adjust the brightness of the combined first image.

    Abstract translation: 本文包含用于在低光条件下捕获具有降低的模糊度的图像的方法,装置和计算机程序产品。 一方面,公开了拍摄图像的方法。 该方法包括以第一曝光长度捕获多个第一图像。 该方法还包括将多个第一图像中的每一个彼此对准,并将对准的多个第一图像组合成组合的第一图像。 该方法还包括以第二曝光长度拍摄第二图像,其中第二曝光长度比第一曝光长度长,并且使用第二图像来调整组合的第一图像的亮度。

    METHOD AND APPARATUS FOR GENERATING AN ALL-IN-FOCUS IMAGE
    3.
    发明申请
    METHOD AND APPARATUS FOR GENERATING AN ALL-IN-FOCUS IMAGE 有权
    用于产生全焦点图像的方法和装置

    公开(公告)号:US20150062370A1

    公开(公告)日:2015-03-05

    申请号:US14471416

    申请日:2014-08-28

    Abstract: Techniques are described for generating an all-in focus image with a capability to refocus. One example includes obtaining a first depth map associated with a plurality of captured images of a scene. The plurality of captured images may include images having different focal lengths. The method further includes obtaining a second depth map associated with the plurality of captured images, generating a composite image showing different portions of the scene in focus (based on the plurality of captured images and the first depth map), and generating a refocused image showing a selected portion of the scene in focus (based on the composite image and the second depth map).

    Abstract translation: 描述了用于产生具有重新聚焦能力的全焦点图像的技术。 一个示例包括获得与场景的多个捕获图像相关联的第一深度图。 多个拍摄图像可以包括具有不同焦距的图像。 该方法还包括获得与多个拍摄图像相关联的第二深度图,生成示出对焦的场景的不同部分(基于多个拍摄图像和第一深度图)的合成图像,以及生成重新聚焦图像,其显示 对焦的场景的选定部分(基于合成图像和第二深度图)。

    Method and apparatus for generating an all-in-focus image
    5.
    发明授权
    Method and apparatus for generating an all-in-focus image 有权
    用于产生全焦点图像的方法和装置

    公开(公告)号:US09344619B2

    公开(公告)日:2016-05-17

    申请号:US14471416

    申请日:2014-08-28

    Abstract: Techniques are described for generating an all-in focus image with a capability to refocus. One example includes obtaining a first depth map associated with a plurality of captured images of a scene. The plurality of captured images may include images having different focal lengths. The method further includes obtaining a second depth map associated with the plurality of captured images, generating a composite image showing different portions of the scene in focus (based on the plurality of captured images and the first depth map), and generating a refocused image showing a selected portion of the scene in focus (based on the composite image and the second depth map).

    Abstract translation: 描述了用于产生具有重新聚焦能力的全焦点图像的技术。 一个示例包括获得与场景的多个捕获图像相关联的第一深度图。 多个拍摄图像可以包括具有不同焦距的图像。 该方法还包括获得与多个拍摄图像相关联的第二深度图,生成示出对焦的场景的不同部分(基于多个拍摄图像和第一深度图)的合成图像,以及生成重新聚焦图像,其显示 对焦的场景的选定部分(基于合成图像和第二深度图)。

    System and method to capture images with reduced blurriness in low light conditions
    7.
    发明授权
    System and method to capture images with reduced blurriness in low light conditions 有权
    捕获低光条件下模糊度降低的图像的系统和方法

    公开(公告)号:US09179080B2

    公开(公告)日:2015-11-03

    申请号:US14252560

    申请日:2014-04-14

    CPC classification number: H04N5/3537 H04N5/23277 H04N5/2355 H04N9/045

    Abstract: Methods, devices, and computer program products for capturing images with reduced blurriness in low light conditions are contained herein. In one aspect, a method of capturing an image is disclosed. The method includes capturing a plurality of first images with a first exposure length. The method further includes aligning each of the plurality of first images with each other and combining the aligned plurality of first images into a combined first image. The method further includes capturing a second image with a second exposure length, wherein the second exposure length is longer than the first exposure length and using the second image to adjust the brightness of the combined first image.

    Abstract translation: 本文包含用于在低光条件下捕获具有降低的模糊度的图像的方法,装置和计算机程序产品。 一方面,公开了拍摄图像的方法。 该方法包括以第一曝光长度捕获多个第一图像。 该方法还包括将多个第一图像中的每一个彼此对准,并将对准的多个第一图像组合成组合的第一图像。 该方法还包括以第二曝光长度拍摄第二图像,其中第二曝光长度比第一曝光长度长,并且使用第二图像来调整组合的第一图像的亮度。

    RENDERING AUGMENTED REALITY BASED ON FOREGROUND OBJECT
    8.
    发明申请
    RENDERING AUGMENTED REALITY BASED ON FOREGROUND OBJECT 有权
    基于前置对象渲染增强的现实

    公开(公告)号:US20140184644A1

    公开(公告)日:2014-07-03

    申请号:US13733740

    申请日:2013-01-03

    Abstract: A mobile device detects a moveable foreground object in captured images, e.g., a series of video frames without depth information. The object may be one or more of the user's fingers. The object may be detected by warping one of a captured image of a scene that includes the object and a reference image of the scene without the object so they have the same view and comparing the captured image and the reference image after warping. A mask may be used to segment the object from the captured image. Pixels are detected in the extracted image of the object and the pixels are used to detect the point of interest on the foreground object. The object may then be tracked in subsequent images. Augmentations may be rendered and interacted with or temporal gestures may be detected and desired actions performed accordingly.

    Abstract translation: 移动设备在捕获的图像中检测可移动的前景对象,例如,没有深度信息的一系列视频帧。 该对象可以是用户的一个或多个手指。 可以通过对包含对象的场景的拍摄图像和没有对象的场景的参考图像进行扭曲来检测对象,使得它们具有相同的视图,并且在翘曲之后比较捕获的图像和参考图像。 可以使用掩码来从捕获的图像中分割对象。 在提取的对象图像中检测像素,并且使用像素来检测前景对象上的兴趣点。 然后可以在后续图像中跟踪对象。 增强可以被渲染并且与之进行交互,或者可以检测到时间手势并相应地执行期望的动作。

    ADAPTABLE FRAMEWORK FOR CLOUD ASSISTED AUGMENTED REALITY
    9.
    发明申请
    ADAPTABLE FRAMEWORK FOR CLOUD ASSISTED AUGMENTED REALITY 有权
    云适应现实的适应框架

    公开(公告)号:US20160284099A1

    公开(公告)日:2016-09-29

    申请号:US15179936

    申请日:2016-06-10

    CPC classification number: G06T7/246 G06K9/00671 G06T7/73 G06T2207/10004

    Abstract: A mobile platform efficiently processes image data, using distributed processing in which latency sensitive operations are performed on the mobile platform, while latency insensitive, but computationally intensive operations are performed on a remote server. The mobile platform acquires image data, and determines whether there is a trigger event to transmit the image data to the server. The trigger event may be a change in the image data relative to previously acquired image data, e.g., a scene change in an image. When a change is present, the image data may be transmitted to the server for processing. The server processes the image data and returns information related to the image data, such as identification of an object in an image or a reference image or model. The mobile platform may then perform reference based tracking using the identified object or reference image or model.

    Abstract translation: 移动平台使用分布式处理来有效地处理图像数据,其中在移动平台上执行延迟敏感操作,而延迟不敏感,但在远程服务器上执行计算密集型操作。 移动平台获取图像数据,并确定是否存在将图像数据发送到服务器的触发事件。 触发事件可以是相对于先前获取的图像数据的图像数据的变化,例如图像中的场景变化。 当存在改变时,图像数据可以被发送到服务器进行处理。 服务器处理图像数据并返回与图像数据相关的信息,例如图像中的对象或参考图像或模型的识别。 然后,移动平台可以使用所识别的对象或参考图像或模型来执行基于参考的跟踪。

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