会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 76. 发明授权
    • Method of pose estimation and model refinement for video representation of a three dimensional scene
    • 三维场景视频表示的姿态估计和模型细化方法
    • US06985620B2
    • 2006-01-10
    • US09800550
    • 2001-03-07
    • Harpreet Singh SawhneyRakesh KumarSteve HsuSupun Samarasekera
    • Harpreet Singh SawhneyRakesh KumarSteve HsuSupun Samarasekera
    • G06K9/00
    • G06T15/20G01S5/163G06T7/74G06T17/10G06T2200/08G06T2207/30244
    • The present invention is embodied in a video flashlight method. This method creates virtual images of a scene using a dynamically updated three-dimensional model of the scene and at least one video sequence of images. An estimate of the camera pose is generated by comparing a present image to the three-dimensional model. Next, relevant features of the model are selected based on the estimated pose. The relevant features are then virtually projected onto the estimated pose and matched to features of the image. Matching errors are measured between the relevant features of the virtual projection and the features of the image. The estimated pose is then updated to reduce these matching errors. The model is also refined with updated information from the image. Meanwhile, a viewpoint for a virtual image is selected. The virtual image is then created by projecting the dynamically updated three-dimensional model onto the selected virtual viewpoint.
    • 本发明以视频手电筒方式实现。 该方法使用场景的动态更新的三维模型和至少一个图像的视频序列来创建场景的虚拟图像。 通过将当前图像与三维模型进行比较来生成相机姿态的估计。 接下来,基于估计的姿势来选择模型的相关特征。 然后将相关特征虚拟地投影到估计姿态上并与图像的特征相匹配。 在虚拟投影的相关特征和图像的特征之间测量匹配误差。 然后更新估计姿势以减少这些匹配错误。 该模型还从图像中更新了更新的信息。 同时,选择虚拟图像的视点。 然后通过将动态更新的三维模型投影到所选择的虚拟视点上来创建虚拟图像。
    • 79. 发明授权
    • Method and apparatus for estimating feature values in a region of a sequence of images
    • 用于估计图像序列的区域中的特征值的方法和装置
    • US06681058B1
    • 2004-01-20
    • US09518872
    • 2000-03-06
    • Keith HannaRakesh Kumar
    • Keith HannaRakesh Kumar
    • G06K932
    • H04N19/23
    • A method and apparatus are disclosed that estimate the brightness or other feature values of unchanging or slowly changing regions of an image in a sequence of video images even when the regions is obscured by objects over large portions of the video sequence. The apparatus and method generate a histogram for each image region position over a plurality of image frames in the sequence. The mode, or most frequently occurring value, of the image region as indicated by the histogram is selected as representing the unchanging portion of the image. The mode values of all of the regions are then assembled to form a composite image of the unchanging or slowly changing feature values. According to one method, the histogram is generated using a recursive filter. In order to process images that exhibit some motion from frame to frame, the images in the video sequence may be aligned before generating the histogram. If the camera produces artifacts such as variations in the image caused by an automatic gain control (AGC) function, each image in the sequence of video images may be filtered either temporally or spatially before performing the histogramming operation to remove these artifacts. To reduce processing time, the image processing may be spaced in time such that only every nth image is processed. Alternatively, each region of an image sequence may be processed at random irregular intervals in order to obtain the histogram. In one embodiment of the invention, the histogram is applied over relatively small groups of frames in order to generate a noise reduced image.
    • 公开了一种方法和装置,其估计视频图像序列中的图像的不变或缓慢变化的区域的亮度或其他特征值,即使当该区域被视频序列的大部分上的对象遮蔽时。 该装置和方法为序列中的多个图像帧上的每个图像区域位置生成直方图。 由直方图指示的图像区域的模式或最常出现的值被选择为表示图像的不变部分。 然后组合所有区域的模式值以形成不变或缓慢变化的特征值的合成图像。 根据一种方法,使用递归滤波器生成直方图。 为了处理从帧到帧呈现一些运动的图像,可以在生成直方图之前对准视频序列中的图像。 如果相机产生诸如由自动增益控制(AGC)功能引起的图像变化的人为因素,则在执行直方图操作以去除这些伪像之前,视频图像序列中的每个图像可以在时间上或空间上被滤波。 为了减少处理时间,图像处理可以在时间上间隔使得仅处理每个n图像。 或者,图像序列的每个区域可以以随机的不规则间隔进行处理,以获得直方图。 在本发明的一个实施例中,直方图被应用在相对较小的帧组上,以便产生降噪图像。