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    • 51. 发明授权
    • Method for reconstructing a three-dimensional object from a closed-loop
sequence of images taken by an uncalibrated camera
    • 从未校准的相机拍摄的闭环图像重建三维物体的方法
    • US6061468A
    • 2000-05-09
    • US901391
    • 1997-07-28
    • Sing Bing Kang
    • Sing Bing Kang
    • G06T1/00G06T7/20G06T17/40G06K9/00
    • G06T7/0071G06T2207/10016
    • In a computerized method, the three-dimensional structure of an object is recovered from a closed-loop sequence of two-dimensional images taken by a camera undergoing some arbitrary motion. In one type of motion, the camera is held fixed, while the object completes a full 360.degree. rotation about an arbitrary axis. Alternatively, the camera can make a complete rotation about the object. In the sequence of images, feature tracking points are selected using pair-wise image registration. Ellipses are fitted to the feature tracking points to estimate the tilt of the axis of rotation. A set of variables are set to fixed values while minimizing an image-based objective function to extract a set of first structure and motion parameters. Then the set of variables freed while minimizing of the objective function continues to extract a second set of structure and motion parameters that are substantially the same as the first set of structure and motion parameters.
    • 在计算机化方法中,从经历某种任意运动的相机拍摄的二维图像的闭环序列中恢复对象的三维结构。 在一种类型的运动中,摄像机保持固定,同时物体围绕任意轴完成360度旋转。 或者,相机可以围绕对象进行完全旋转。 在图像序列中,使用成对图像配准来选择特征跟踪点。 椭圆适配到特征跟踪点以估计旋转轴的倾斜度。 将一组变量设置为固定值,同时使基于图像的目标函数最小化以提取一组第一结构和运动参数。 然后在最小化目标函数的同时释放的变量集继续提取与第一组结构和运动参数基本相同的第二组结构和运动参数。
    • 52. 发明授权
    • Stereoscopic image display
    • 立体图像显示
    • US09030532B2
    • 2015-05-12
    • US10922769
    • 2004-08-19
    • Gary K. StarkweatherMichael J. SinclairSing Bing Kang
    • Gary K. StarkweatherMichael J. SinclairSing Bing Kang
    • H04N13/04
    • H04N13/376H04N13/302H04N13/371H04N13/378H04N13/38H04N13/383
    • Stereoscopic image display is described. In an embodiment, a location of the eye pupils of a viewer is determined and tracked. An image is displayed within a first focus for viewing with the left eye of the viewer, and the image is displayed within a second focus for viewing with the right eye of the viewer. A positional change of the eye pupils is tracked and a sequential image that corresponds to the positional change of the eye pupils is generated for stereoscopic viewing. In another embodiment, an image is displayed for stereoscopic viewing and a head position of a viewer relative to a center of the displayed image is determined. A positional change of the viewer's head is tracked, and a sequential image that corresponds to the positional change of the viewer's head is generated for stereoscopic viewing.
    • 描述立体图像显示。 在一个实施例中,确定并跟踪观看者的眼睛瞳孔的位置。 在第一焦点内显示图像以用观看者的左眼观看,并且在第二焦点内显示图像以用观看者的右眼观看。 跟踪眼睛瞳孔的位置变化,并且生成对应于眼睛瞳孔的位置变化的顺序图像用于立体观看。 在另一个实施例中,显示用于立体观看的图像,并且确定观看者相对于所显示图像的中心的头部位置。 跟踪观众头部的位置变化,生成与观众头部的位置变化相对应的顺序图像,用于立体观看。
    • 55. 发明授权
    • Generating sharp images, panoramas, and videos from motion-blurred videos
    • 从运动模糊的视频生成清晰的图像,全景图像和视频
    • US08428390B2
    • 2013-04-23
    • US12815264
    • 2010-06-14
    • Yunpeng LiSing Bing KangNeel Suresh JoshiSteven Maxwell Seitz
    • Yunpeng LiSing Bing KangNeel Suresh JoshiSteven Maxwell Seitz
    • G06K9/40G06K9/00G09G1/14G09G3/28G09G3/30G09G5/00H04N9/64H04N5/202H04N1/40G03F3/08
    • 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。
    • 58. 发明授权
    • Reducing motion-related artifacts in rolling shutter video information
    • 滚动快门视频信息中减少与运动相关的人为因素
    • US08358359B2
    • 2013-01-22
    • US12690929
    • 2010-01-21
    • Simon J. BakerEric P. BennettSing Bing KangRichard Szeliski
    • Simon J. BakerEric P. BennettSing Bing KangRichard Szeliski
    • H04N5/217H04N11/00H04N7/00G06K9/40
    • G06T5/003G06T2207/20201
    • A system is described for reducing artifacts produced by a rolling shutter capture technique in the presence of high-frequency motion, e.g., produced by large accelerations or jitter. The system operates by computing low-frequency information based on the motion of points from one frame to the next. The system then uses the low-frequency information to infer the high-frequency motion, e.g., by treating the low-frequency information as known integrals of the unknown underlying high-frequency information. The system then uses the high-frequency information to reduce the presence of artifacts. In effect, the correction aims to re-render video information as though all the pixels in each frame were imaged at the same time using a global shutter technique. An auto-calibration module can estimate the value of a capture parameter, which relates to a time interval between the capture of two subsequent rows of video information.
    • 描述了一种用于在存在高频运动(例如由大的加速度或抖动产生的)的情况下减少由快门拍摄技术产生的假象的系统。 该系统通过基于从一帧到下一帧的点的运动来计算低频信息来进行操作。 然后,系统使用低频信息来推断高频运动,例如通过将低频信息作为未知底层高频信息的已知积分来处理。 然后,系统使用高频信息来减少伪像的存在。 实际上,校正旨在重新渲染视频信息,就像使用全局快门技术同时成像每个帧中的所有像素一样。 自动校准模块可以估计捕获参数的值,其涉及捕获两个后续行的视频信息之间的时间间隔。
    • 59. 发明授权
    • Hardware assisted image deblurring
    • 硬件辅助图像去模糊
    • US08264553B2
    • 2012-09-11
    • US12616782
    • 2009-11-12
    • Neel S. JoshiSing Bing KangCharles L. Zitnick, IIIRichard S. Szeliski
    • Neel S. JoshiSing Bing KangCharles L. Zitnick, IIIRichard S. Szeliski
    • H04N5/228G06K9/40
    • 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。