Patch Size Adaptation for Image Enhancement
    121.
    发明申请
    Patch Size Adaptation for Image Enhancement 有权
    补丁尺寸适应图像增强

    公开(公告)号:US20140153817A1

    公开(公告)日:2014-06-05

    申请号:US13691212

    申请日:2012-11-30

    CPC classification number: G06K9/68 G06T5/001 G06T2207/20021

    Abstract: Systems and methods are provided for providing patch size adaptation for patch-based image enhancement operations. In one embodiment, an image manipulation application receives an input image. The image manipulation application compares a value for an attribute of at least one input patch of the input image to a threshold value. Based on comparing the value for the to the threshold value, the image manipulation application adjusts a first patch size of the input patch to a second patch size that improves performance of a patch-based image enhancement operation as compared to the first patch size. The image manipulation application performs the patch-based image enhancement operation based on one or more input patches of the input image having the second patch size.

    Abstract translation: 提供了系统和方法,用于为基于贴片的图像增强操作提供补丁大小适配。 在一个实施例中,图像处理应用接收输入图像。 图像处理应用将输入图像的至少一个输入片段的属性的值与阈值进行比较。 基于比较阈值的值,图像处理应用程序将输入补丁的第一补丁大小调整为与第一补丁大小相比提高基于补丁的图像增强操作的性能的第二补丁大小。 图像处理应用程序基于具有第二补丁大小的输入图像的一个或多个输入补丁执行基于补丁的图像增强操作。

    Nonlinear Self-Calibration for Structure From Motion (SFM) Techniques
    122.
    发明申请
    Nonlinear Self-Calibration for Structure From Motion (SFM) Techniques 有权
    运动结构(SFM)技术的非线性自校准

    公开(公告)号:US20130265443A1

    公开(公告)日:2013-10-10

    申请号:US13724973

    申请日:2012-12-21

    Inventor: Hailin Jin

    Abstract: A nonlinear self-calibration technique that may, for example, be used to convert a projective reconstruction to metric (Euclidian) reconstruction. The self-calibration technique may use a nonlinear least squares optimization technique to infer the parameters. N input images and a projective reconstruction for each image may be obtained. At least two sets of initial values may be determined for an equation to be optimized according to the nonlinear optimization technique to generate a metric reconstruction for the set of N images. The equation may then be optimized using each set of initial values according to the nonlinear optimization technique. The result with a smaller cost may be selected. The metric reconstruction is output. The output may include, but is not limited to, focal length, rotation, and translation values for the N images.

    Abstract translation: 非线性自校准技术,例如可用于将投影重建转换为度量(欧几里德)重建。 自校准技术可以使用非线性最小二乘法优化技术来推断参数。 可以获得每个图像的N个输入图像和投影重建。 可以根据非线性优化技术来确定要优化的等式的至少两组初始值,以生成N组图像的度量重建。 然后可以使用根据非线性优化技术的每组初始值来优化该方程。 可以选择成本较低的结果。 输出度量重建。 输出可以包括但不限于N个图像的焦距,旋转和平移值。

    Robust Video-based Camera Rotation Estimation
    123.
    发明申请
    Robust Video-based Camera Rotation Estimation 审中-公开
    强大的基于视频的摄像机旋转估计

    公开(公告)号:US20130265439A1

    公开(公告)日:2013-10-10

    申请号:US13725041

    申请日:2012-12-21

    Inventor: Hailin Jin

    Abstract: A robust system and method for estimating camera rotation in image sequences. A rotation-based reconstruction technique is described that is directed to performing reconstruction for image sequences with a zero or near-zero translation component. The technique may estimate only the rotation component of the camera motion in an image sequence, and may also estimate the camera intrinsic parameters if not known. Input to the technique may include an image sequence, and output may include the camera intrinsic parameters and the rotation parameters for all the images in the sequence. By only estimating a rotation component of camera motion, the assumption is made that the camera is not moving throughout the entire sequence. However, the camera is allowed to rotate and zoom arbitrarily. The technique may support both the case where the camera intrinsic parameters are known and the case where the camera intrinsic parameters are not known.

    Abstract translation: 用于估计图像序列中的相机旋转的鲁棒系统和方法。 描述了基于旋转的重建技术,该技术旨在对具有零或接近零翻译分量的图像序列执行重建。 该技术可以仅估计图像序列中的相机运动的旋转分量,并且如果不知道也可以估计相机内在参数。 该技术的输入可以包括图像序列,并且输出可以包括相机本征参数和用于序列中的所有图像的旋转参数。 通过仅估计相机运动的旋转分量,假设相机在整个序列中不移动。 但是,相机允许任意旋转和变焦。 该技术可以支持相机固有参数已知的情况和相机本征参数未知的情况。

    Methods and Apparatus for Interfacing Panoramic Image Stitching with Post-Processors
    124.
    发明申请
    Methods and Apparatus for Interfacing Panoramic Image Stitching with Post-Processors 有权
    用后处理器连接全景图像拼接的方法和装置

    公开(公告)号:US20130243351A1

    公开(公告)日:2013-09-19

    申请号:US13677016

    申请日:2012-11-14

    Abstract: Methods and apparatus for describing a projection model, used by a panoramic image stitching module to generate panoramic images and for communicating the projection model to other processes. A post-processing module may access and use the projection model provided by the panoramic image stitching module to perform one or more post-processing methods on the panoramic image, rather than requiring the user to input the projection model via a user interface or requiring the post-processing module to estimate the projection model according to a mathematical analysis of the panoramic image.

    Abstract translation: 用于描述投影模型的方法和装置,由全景图像拼接模块用于生成全景图像并将投影模型传达给其他过程。 后处理模块可以访问和使用由全景图像拼接模块提供的投影模型来对全景图像执行一个或多个后处理方法,而不是要求用户经由用户界面输入投影模型或要求 后处理模块根据全景图像的数学分析来估计投影模型。

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