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    • 2. 发明申请
    • AUTOMATIC 2D-TO-STEREOSCOPIC VIDEO CONVERSION
    • 自动2D到立体视像转换
    • US20130147911A1
    • 2013-06-13
    • US13315488
    • 2011-12-09
    • Kevin Robert KarschCe LiuSing Bing Kang
    • Kevin Robert KarschCe LiuSing Bing Kang
    • H04N13/00
    • H04N13/261
    • In general, a “Stereoscopic Video Converter” (SVC) provides various techniques for automatically converting arbitrary 2D video sequences into perceptually plausible stereoscopic or “3D” versions while optionally generating dense depth maps for every frame of the video sequence. In particular, the automated 2D-to-3D conversion process first automatically estimates scene depth for each frame of an input video sequence via a label transfer process that matches features extracted from those frames with features from a database of images and videos having known ground truth depths. The estimated depth distributions for all image frames of the input video sequence are then used by the SVC for automatically generating a “right view” of a corresponding stereoscopic image for each frame (assuming that each original input frame represents the “left view” of the stereoscopic image).
    • 通常,“立体视频转换器”(SVC)提供了用于将任意2D视频序列自动转换为听觉上合理的立体或“3D”版本的各种技术,同时可选地为视频序列的每一帧产生密集的深度图。 特别地,自动2D到3D转换过程首先通过标签传送过程自动地估计输入视频序列的每帧的场景深度,所述标签传送过程与从具有已知地面实况的图像和视频的数据库的特征相匹配的特征提取出匹配的特征 深度。 输入视频序列的所有图像帧的估计深度分布然后由SVC用于自动生成每帧的对应立体图像的“右视图”(假设每个原始输入帧表示“ 立体图像)。
    • 6. 发明申请
    • ESTABLISHING CLUSTERS OF USER PREFERENCES FOR IMAGE ENHANCEMENT
    • 建立图像增强用户首选项集
    • US20120155759A1
    • 2012-06-21
    • US12973922
    • 2010-12-21
    • Sing Bing KangAshish KapoorJuan Caicedo Rueda
    • Sing Bing KangAshish KapoorJuan Caicedo Rueda
    • G06K9/68G06K9/00
    • G06T5/00G06T2207/20092
    • An image enhancement system may match images to a matrix having various enhancements of images for groups of users. The matrix may define image enhancement settings for the particular images and groups of users, and the matching may apply enhancements to a new image that closely matches a user's preferences. After the matrix is initially populated, new users and new images may be added to increase the matrix's accuracy. The image enhancement system may be deployed as a cloud service, where images may be enhanced as a standalone application or as part of a social network or image sharing website. In some embodiments, the image enhancement system may be deployed on a personal computer or as a component of an image capture device.
    • 图像增强系统可将图像与具有用户组的各种图像增强的矩阵相匹配。 矩阵可以为特定图像和用户组定义图像增强设置,并且匹配可以对与用户偏好紧密匹配的新图像应用增强。 在最初填充矩阵之后,可以添加新的用户和新的图像以增加矩阵的准确度。 图像增强系统可以部署为云服务,其中可以将图像作为独立应用或作为社交网络或图像共享网站的一部分而增强。 在一些实施例中,图像增强系统可以部署在个人计算机上或作为图像捕获设备的组件。
    • 8. 发明申请
    • GENERATING SHARP IMAGES, PANORAMAS, AND VIDEOS FROM MOTION-BLURRED VIDEOS
    • 从运动视频中产生夏普图像,全景照片和视频
    • US20110304687A1
    • 2011-12-15
    • US12815264
    • 2010-06-14
    • Neel Suresh JoshiSing Bing KangYunpeng LiSteven Maxwell Seitz
    • Neel Suresh JoshiSing Bing KangYunpeng LiSteven Maxwell Seitz
    • H04N5/225G06K9/40
    • H04N5/23238G06T5/003G06T2207/10016G06T2207/20201
    • A “Blur Remover” provides various techniques for constructing deblurred images from a sequence of motion-blurred images such as a video sequence of a scene. Significantly, this deblurring is accomplished without requiring specialized side information or camera setups. In fact, the Blur Remover receives sequential images, such as a typical video stream captured using conventional digital video capture devices, and directly processes those images to generate or construct deblurred images for use in a variety of applications. No other input beyond the video stream is required for a variety of the embodiments enabled by the Blur Remover. More specifically, the Blur Remover uses joint global motion estimation and multi-frame deblurring with optional automatic video “duty cycle” estimation to construct deblurred images from video sequences for use in a variety of applications. Further, the automatically estimated video duty cycle is also separately usable in a variety of applications.
    • “模糊去除”提供了用于从诸如场景的视频序列的运动模糊图像序列构建去模糊图像的各种技术。 重要的是,这种脱模是完成的,而不需要专门的信息或相机设置。 事实上,Blur Remover接收连续图像,例如使用常规数字视频捕获设备捕获的典型视频流,并直接处理这些图像以生成或构造用于各种应用的去模糊图像。 对于由Blur Remover启用的各种实施例,不需要视频流之外的其他输入。 更具体地,Blur Remover使用联合全局运动估计和多帧去模糊与可选的自动视频“占空比”估计来构建来自用于各种应用的视频序列的去模糊图像。 此外,自动估计的视频占空比也可以在各种应用中单独使用。
    • 10. 发明申请
    • HARDWARE ASSISTED IMAGE DEBLURRING
    • 硬件辅助图像消除
    • US20110109755A1
    • 2011-05-12
    • US12616782
    • 2009-11-12
    • Neel S. JoshiSing Bing KangCharles L. Zitnick, IIIRichard S. Szeliski
    • Neel S. JoshiSing Bing KangCharles L. Zitnick, IIIRichard S. Szeliski
    • G06T7/20G06K9/40H04N5/228
    • H04N5/23248H04N5/23258H04N5/23267
    • The described implementations relate to deblurring images. One system includes an imaging device configured to capture an image, a linear motion detector and a rotational motion detector. This system also includes a controller configured to receive a signal from the imaging device relating to capture of the image and to responsively cause the linear motion detector and the rotational motion detector to detect motion-related information. Finally, this particular system includes a motion calculator configured to recover camera motion associated with the image based upon the detected motion-related information and to infer imaging device motion induced blur of the image and an image deblurring component configured to reduce imaging device induced blur from the image utilizing the inferred camera motion induced blur.
    • 所描述的实现涉及去模糊图像。 一个系统包括被配置为捕获图像的成像装置,线性运动检测器和旋转运动检测器。 该系统还包括控制器,其被配置为从成像装置接收与捕获图像有关的信号,并且响应地使线性运动检测器和旋转运动检测器检测运动相关信息。 最后,该特定系统包括运动计算器,该运动计算器被配置为基于检测到的运动相关信息来恢复与图像相关联的摄像机运动,并且推断图像的成像装置运动引起的模糊,以及被配置成减少成像装置引起的模糊的图像去模糊部件 该图像利用推测的相机运动引起的模糊。