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    • 54. 发明申请
    • Method and Apparatus for Local Region Selection
    • 本地选区方法与装置
    • US20130121565A1
    • 2013-05-16
    • US12474030
    • 2009-05-28
    • Jue WangAseem O. Agarwala
    • Jue WangAseem O. Agarwala
    • G06K9/62
    • G06K9/6215G06T7/11G06T7/143G06T2207/10016G06T2207/20081G06T2207/20096
    • Methods and apparatus for local region selection are described. A scribble-based, edge-aware local region selection tool or module that implements a local region selection method may allow a user to draw scribbles or strokes indicating different classes of content. The method may train Gaussian mixture models (GMMs) for each class from the user input. The GMMs may be applied to the image to generate a probability map for each class. Post-processing may be optionally performed to remove structural outliers. The probability maps may be smoothed using a geodesic smoothing technique. A geodesic smoothing technique may be applied that considers other classes when smoothing each class to limit or prevent propagation of a region corresponding to the class into other regions corresponding to other classes. The smoothed probability maps may be combined to generate a final region selection mask.
    • 描述了局部区域选择的方法和装置。 实现局部区域选择方法的基于涂鸦的边缘感知局部区域选择工具或模块可以允许用户绘制指示不同类别的内容的涂鸦或笔画。 该方法可以从用户输入为每个类训练高斯混合模型(GMM)。 可以将GMM应用于图像以生成每个类的概率图。 可以可选地执行后处理以去除结构异常值。 可以使用测地平滑技术来平滑概率图。 可以应用测地平滑技术,当平滑每个类以限制或防止对应于该类的区域的传播到对应于其他类的其他区域时考虑其他类。 可以组合平滑的概率图以产生最终区域选择掩模。
    • 57. 发明授权
    • Method and apparatus for applying Gaussian Mixture Models to local image patches using an adaptive color lookup table
    • 使用自适应颜色查找表将高斯混合模型应用于局部图像补丁的方法和装置
    • US08290253B1
    • 2012-10-16
    • US12609590
    • 2009-10-30
    • Jue WangDavid P. SimonsXue Bai
    • Jue WangDavid P. SimonsXue Bai
    • G06K9/00
    • G06K9/6221G06K9/4652G06T7/11G06T7/149
    • A method, system, and computer-readable storage medium for applying Gaussian Mixture Models (GMMs) to local image patches using an adaptive color lookup table. Per-channel color quantization may be performed to find representative colors for a local image patch. Each combination of the representative values corresponds to a representative color. The probabilities of the representative colors may be computed using a local GMM color model and stored to corresponding entries in an adaptive color lookup table. For every pixel in an image patch, the closest representative color may be found, and the corresponding probability may be retrieved from the lookup table and used for the pixel. The method may, for example, be applied to each local window in a method for automatically determining segmentation in a digital video image sequence to calculate the foreground probabilities for the pixels in a propagated classifier via a GMM.
    • 一种用于使用自适应颜色查找表将高斯混合模型(GMM)应用于本地图像块的方法,系统和计算机可读存储介质。 可以执行每通道颜色量化以找到局部图像贴片的代表性颜色。 代表值的每个组合对应于代表性颜色。 代表颜色的概率可以使用本地GMM颜色模型计算并存储到自适应颜色查找表中的相应条目。 对于图像补丁中的每个像素,可以找到最接近的代表颜色,并且可以从查找表中检索相应的概率并将其用于该像素。 例如,该方法可以在用于自动确定数字视频图像序列中的分割的方法中应用于每个局部窗口,以通过GMM计算传播分类器中的像素的前景概率。
    • 58. 发明授权
    • Method and apparatus for discriminative alpha matting
    • 鉴别性阿尔法消光的方法和装置
    • US08175384B1
    • 2012-05-08
    • US12276187
    • 2008-11-21
    • Jue Wang
    • Jue Wang
    • G06K9/34
    • G06T7/12G06T7/11G06T7/194G06T2207/10024
    • Method and apparatus for creating foreground masks, or mattes, in images including complex images. A discriminative matting technique may generate accurate alpha mattes for textured images or objects with spatial-varying color distributions. Given an input image and a trimap defining an unknown region, a discriminative color analysis is applied to the unknown region, yielding estimated alpha values, estimated binary segmentation values, and a mixture probability map for the region. The map may be adaptively smoothed. The pixels in the unknown region are classified into boundary pixels and non-boundary pixels according to the probability map. The non-boundary pixels are classified as either foreground or background pixels using a differencing technique that compares multiple pixel features. The estimated alpha values for the boundary pixels are refined. An alpha matte for the image is output. The process may be repeated until convergence of the alpha matte.
    • 用于在包括复杂图像的图像中创建前景蒙版或遮罩的方法和装置。 鉴别的消光技术可以为纹理图像或具有空间变化颜色分布的对象产生准确的α遮罩。 给定输入图像和定义未知区域的微调,对未知区域应用鉴别色彩分析,产生估计的α值,估计的二进制分割值和该区域的混合概率图。 地图可以自适应地平滑。 根据概率图将未知区域中的像素分类为边界像素和非边界像素。 使用比较多个像素特征的差分技术将非边界像素分类为前景或背景像素。 边界像素的估计alpha值被改进。 输出图像的Alpha哑光。 该过程可以重复,直到α无光泽的收敛。
    • 60. 发明授权
    • Dense homogeneous fluoride films for DUV elements and method of preparing same
    • DUV元素的均匀氟化物薄膜及其制备方法
    • US08169705B2
    • 2012-05-01
    • US12277596
    • 2008-11-25
    • Michael J CangemiHorst SchreiberJue Wang
    • Michael J CangemiHorst SchreiberJue Wang
    • G02B1/10
    • G02B1/115C23C14/06C23C14/24G02B5/0833G02B5/0891G02B5/283G02B5/285
    • The invention is directed to optical elements that are coated with dense homogeneous fluoride films and to a method of making such coated elements. The coatings materials are a high (“H”) refractive index fluoride material and a low (“L”) refractive index material that are co-evaporated to form a coating layer of a L-H coating material (a co-deposited coating of L and H materials). Lanthanide metal fluorides (for example, neodymium, lanthanum, dysprosium, yttrium and gadolinium, and combinations thereof) are preferred metal fluorides for use as the high refractive index materials with lanthanum fluoride (LaF3) and gadolinium fluoride (GdF3) being particularly preferred. Aluminum fluoride (AlF3) and alkaline earth metal fluorides (fluorides of calcium, magnesium, barium and strontium) are the preferred low refractive index materials, with magnesium fluoride (MgF2) being a preferred alkaline earth metal fluoride.
    • 本发明涉及涂覆有致密的均匀氟化物膜的光学元件和制造这种涂覆元件的方法。 涂层材料是高(“H”)折射率氟化物材料和低(“L”)折射率材料,其被共蒸发以形成LH涂层材料的涂层(共沉积的L和 H材料)。 镧系金属氟化物(例如钕,镧,镝,钇和钆及其组合)是用作具有氟化镧(LaF 3)和氟化钆(GdF 3)的高折射率材料的优选金属氟化物。 氟化铝(AlF 3)和碱土金属氟化物(钙,镁,钡和锶的氟化物)是优选的低折射率材料,其中氟化镁(MgF 2)是优选的碱土金属氟化物。