Capture and display of digital image based on related metadata
    1.
    发明专利
    Capture and display of digital image based on related metadata 有权
    基于相关元数据的数字图像的捕获和显示

    公开(公告)号:JP2010244534A

    公开(公告)日:2010-10-28

    申请号:JP2010073982

    申请日:2010-03-29

    CPC classification number: G06T17/05 H04N5/23229 H04N5/23238

    Abstract: PROBLEM TO BE SOLVED: To solve a problem that individual or thumbnail display of digital photographs gives a viewer a very limited sense of what the person who has took the photographs has experienced when the images have been captured. SOLUTION: A method includes steps of: receiving a first image captured by an image capture device and first meta data related thereto, including geographical information for contents of the first image; receiving a second image and second metadata related thereto, including geographical information for contents of the second image; determining a viewpoint of the first image which represents the location and orientation of the image capture device when the first image has been captured; and creating a view including the first image and the second image. The placement of the first image in the view is based on the first metadata and the viewpoint of the first image, and the placement of the second image relative to the first image is based on the second metadata and the viewpoint of the first image. COPYRIGHT: (C)2011,JPO&INPIT

    Abstract translation: 要解决的问题:为了解决数字照片的个人或缩略图显示给观众的非常有限的感觉,即拍摄照片的人在捕获图像时经历了这些问题。 解决方案:一种方法包括以下步骤:接收由图像捕获设备捕获的第一图像和与其相关的第一元数据,包括用于第一图像的内容的地理信息; 接收与其相关的第二图像和第二元数据,包括第二图像内容的地理信息; 当所述第一图像被捕获时,确定表示所述图像捕获装置的位置和取向的所述第一图像的视点; 以及创建包括第一图像和第二图像的视图。 第一图像在视图中的放置基于第一图像的第一元数据和视点,并且第二图像相对于第一图像的放置是基于第二元数据和第一图像的视点。 版权所有(C)2011,JPO&INPIT

    AUTOMATIC DOMINANT ORIENTATION ESTIMATION IN TEXT IMAGES BASED ON STEERABLE FILTERS
    3.
    发明申请
    AUTOMATIC DOMINANT ORIENTATION ESTIMATION IN TEXT IMAGES BASED ON STEERABLE FILTERS 审中-公开
    基于可转换滤波器的文本图像中的自动主导方位估计

    公开(公告)号:WO2009085484A3

    公开(公告)日:2009-09-11

    申请号:PCT/US2008084548

    申请日:2008-11-24

    Inventor: NESTARES OSCAR

    CPC classification number: G06K9/3208

    Abstract: Briefly, in accordance with one or more embodiments, an image processing system is capable of receiving an image containing text, applying optical character recognition to the image, and then audibly reproducing the text via text-to-speech synthesis. Prior to optical character recognition, an orientation corrector is capable of detecting an amount of angular rotation of the text in the image with respect to horizontal, and then rotating the image by an appropriate amount to sufficiently align the text with respect to horizontal for optimal optical character recognition. The detection may be performed using steerable filters to provide an energy versus orientation curve of the image data. A maximum of the energy curve may indicate the amount of angular rotation that may be corrected by the orientation corrector.

    Abstract translation: 简而言之,根据一个或多个实施例,图像处理系统能够接收包含文本的图像,对图像应用光学字符识别,然后通过文本到语音合成可听地再现文本。 在光学字符识别之前,取向校正器能够检测图像中的文本相对于水平的角度旋转量,然后旋转图像适当的量以使文本相对于水平方向充分对齐以获得最佳光学 字符识别。 可以使用可转向滤波器来执行检测,以提供图像数据的能量对方向曲线。 能量曲线的最大值可以指示可由取向校正器校正的角旋转量。

    SYSTEM AND METHOD FOR ALL-IN-FOCUS IMAGING FROM MULTIPLE IMAGES ACQUIRED WITH HAND-HELD CAMERA
    4.
    发明申请
    SYSTEM AND METHOD FOR ALL-IN-FOCUS IMAGING FROM MULTIPLE IMAGES ACQUIRED WITH HAND-HELD CAMERA 审中-公开
    系统和方法,用于从手持相机获取的多个图像进行全焦点成像

    公开(公告)号:WO2012040594A3

    公开(公告)日:2012-05-10

    申请号:PCT/US2011053018

    申请日:2011-09-23

    Abstract: Methods and systems to create an image in which objects at different focal depths all appear to be in focus. In an embodiment, all objects in the scene may appear in focus. Non-stationary cameras may be accommodated, so that variations in the scene resulting from camera jitter or other camera motion may be tolerated. An image alignment process may be used, and the aligned images may be blended using a process that may be implemented using logic that has relatively limited performance capability. The blending process may take a set of aligned input images and convert each image into a simplified Laplacian pyramid (LP). The LP is a data structure that includes several processed versions of the image, each version being of a different size. The set of aligned images is therefore converted into a corresponding set of LPs. The LPs may be combined into a composite LP, which may then undergo Laplacian pyramid reconstruction (LPR). The output of the LPR process is the final blended image.

    Abstract translation: 用于创建图像的方法和系统,其中不同焦点深度的对象看起来都集中在焦点上。 在一个实施例中,场景中的所有对象可以出现在焦点上。 可以容纳非固定相机,从而可以容忍由相机抖动或其他相机运动导致的场景变化。 可以使用图像对齐过程,并且可以使用可以使用具有相对有限的性能能力的逻辑来实现的过程来混合对齐的图像。 混合过程可以采用一组对齐的输入图像并将每幅图像转换成简化的拉普拉斯金字塔(LP)。 LP是一个数据结构,它包含几个经过处理的图像版本,每个版本都有不同的大小。 这组对齐的图像因此被转换成对应的一组LP。 LP可以组合成复合LP,然后可以经历拉普拉斯金字塔重建(LPR)。 LPR过程的输出是最终的混合图像。

    METHOD AND APPARATUS FOR NOISE REDUCTION IN VIDEO

    公开(公告)号:SG172407A1

    公开(公告)日:2011-07-28

    申请号:SG2011047214

    申请日:2009-12-16

    Applicant: INTEL CORP

    Abstract: In some embodiments, a method of processing a video sequence may include receiving an input video sequence having an input video sequence resolution, aligning images from the input video sequence, reducing noise in the aligned images, and producing an output video sequence from the reduced noise images, wherein the output video sequence has the same resolution as the input video sequence resolution. Other embodiments are disclosed and claimed.

    Punkt-zu-Punkt-Abstandsmessungen in 3D-Kamerabildern

    公开(公告)号:DE112016003118T5

    公开(公告)日:2018-04-12

    申请号:DE112016003118

    申请日:2016-07-29

    Applicant: INTEL CORP

    Abstract: Systeme und Verfahren zum Bestimmen von Punkt-zu-Punkt-Abständen aus 3D-Bilddaten. Bei manchen Ausführungsformen repräsentieren zwei Messpunkte, die zum Beispiel durch einen Benutzer spezifiziert werden, Endpunkte auf einem Objekt von Interesse innerhalb eines Einzelbildes. Unter der Annahme, dass alle Punkte, die zwischen diesen Endpunkten liegen, auch zum Objekt von Interesse gehören, können zusätzliche 3D-Daten, die mit Punkten assoziiert sind, die entlang einer durch die Messpunkte definierten Messlinie liegen, wirksam eingesetzt werden, um eine robuste Abstandsmessung bereitzustellen. Bei manchen Ausführungsformen wird eine Total-Least-Squares-Anpassung durchgeführt, zum Beispiel über RPCA (Robust Principal Component Analysis), um lineare Strukturen innerhalb des Satzes der 3D-Koordinaten auf der Messlinie zu identifizieren. Bei manchen Ausführungsbeispielen wird die MCD(Minimum Covariance Determinant)-Schätzfunktion der Kovarianzmatrix der Daten für eine hoch robuste Schätzung des Mehrvariablenorts und der Mehrvariablenstreuung berechnet.

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