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    • 4. 发明授权
    • System and process for generating a two-layer, 3D representation of a scene
    • 用于生成场景的两层3D表示的系统和过程
    • US07206000B2
    • 2007-04-17
    • US11334591
    • 2006-01-17
    • Charles Zitnick, IIIRichard SzeliskiSing Bing KangMatthew UyttendaeleSimon Winder
    • Charles Zitnick, IIIRichard SzeliskiSing Bing KangMatthew UyttendaeleSimon Winder
    • G09G5/02
    • G06T15/205
    • A system and process for generating a two-layer, 3D representation of a digital or digitized image from the image and a pixel disparity map of the image is presented. The two layer representation includes a main layer having pixels exhibiting background colors and background disparities associated with correspondingly located pixels of depth discontinuity areas in the image, as well as pixels exhibiting colors and disparities associated with correspondingly located pixels of the image not found in these depth discontinuity areas. The other layer is a boundary layer made up of pixels exhibiting foreground colors, foreground disparities and alpha values associated with the correspondingly located pixels of the depth discontinuity areas. The depth discontinuity areas correspond to prescribed sized areas surrounding depth discontinuities found in the image using a disparity map thereof.
    • 提出了一种用于从图像生成数字或数字化图像的二层3D表示和图像的像素视差图的系统和过程。 两层表示包括具有显示背景颜色的像素和与图像中的深度不连续区域的相应定位的像素相关联的背景差异的主层以及与在这些深度中未找到的图像的相应定位的像素相关联的颜色和差异的像素 不连续区域。 另一层是由与前述深度不连续区域的对应位置的像素相关联的前景色,前景差异和α值的像素构成的边界层。 深度不连续区域对应于使用其视差图在图像中发现的围绕深度不连续性的规定尺寸的区域。
    • 10. 发明授权
    • Simultaneous optical flow estimation and image segmentation
    • 同时光流估计和图像分割
    • US07522749B2
    • 2009-04-21
    • US11193273
    • 2005-07-30
    • Charles Zitnick, IIISing Bing KangNebojsa Jojic
    • Charles Zitnick, IIISing Bing KangNebojsa Jojic
    • G06K9/00
    • G06K9/34G06K9/38G06K9/4652G06K9/6219
    • A technique for estimating the optical flow between images of a scene and a segmentation of the images is presented. This involves first establishing an initial segmentation of the images and an initial optical flow estimate for each segment of each images and its neighboring image or images. A refined optical flow estimate is computed for each segment of each image from the initial segmentation of that image and the initial optical flow of the segments of that image. Next, the segmentation of each image is refined from the last-computed optical flow estimates for each segment of the image. This process can continue in an iterative manner by further refining the optical flow estimates for the images using their respective last-computed segmentation, followed by further refining the segmentation of each image using their respective last-computed optical flow estimates, until a prescribed number of iterations have been completed.
    • 提出了一种用于估计场景图像和图像分割之间的光流的技术。 这包括首先建立图像的初始分割和每个图像及其相邻图像或图像的每个片段的初始光学流量估计。 从该图像的初始分割和该图像的片段的初始光流中计算每个图像的每个片段的精细光学流量估计。 接下来,从图像的每个片段的最后计算的光学流量估计来细化每个图像的分割。 该过程可以通过使用其各自的最后计算的分割进一步细化图像的光流估计,然后使用其各自的最后计算的光流估计进一步细化每个图像的分割,直到规定数量的 迭代已经完成。