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    • 3. 发明申请
    • System and method for image matting
    • 图像消光系统和方法
    • US20060221248A1
    • 2006-10-05
    • US11092376
    • 2005-03-29
    • Morgan McGuireWojciech MatusikHanspeter PfisterJohn HughesFredo Durand
    • Morgan McGuireWojciech MatusikHanspeter PfisterJohn HughesFredo Durand
    • H04N9/74
    • H04N5/272
    • A method and system extracts a matte from images acquired of a scene. A foreground image focused at a foreground in a scene, a background image focused at a background in the scene, and a pinhole image focused on the entire scene are acquired. These three images can be acquired sequentially by a single camera, or simultaneous by three cameras. In the later case, foreground, background and pinhole sequences of images can be acquired. The pinhole image is compared to the foreground image and the background image to extract a matte representing the scene. The comparison classifies pixels in the images as foreground, background, or unknown pixels. An optimizer minimizes an error function in the form of Fourier image equations using a gradient descent method. The error function expresses pixel intensity differences.
    • 方法和系统从场景获取的图像中提取哑光。 获取聚焦在场景中的前景的前景图像,聚焦在场景背景中的背景图像以及聚焦在整个场景上的针孔图像。 这三个图像可以由单个相机顺序获取,或者由三个相机同时获取。 在后一种情况下,可以获取图像的前景,背景和针孔序列。 将针孔图像与前景图像和背景图像进行比较,以提取表示场景的哑光。 比较将图像中的像素分类为前景,背景或未知像素。 优化器使用梯度下降法将傅里叶图像方程式的误差函数最小化。 误差函数表示像素强度差异。
    • 10. 发明授权
    • Rendering compressed surface reflectance fields of 3D objects
    • 渲染3D物体的压缩表面反射场
    • US06803910B2
    • 2004-10-12
    • US10185352
    • 2002-06-27
    • Hanspeter PfisterWojciech Matusik
    • Hanspeter PfisterWojciech Matusik
    • G06T1700
    • G06T15/506G06T9/001G06T17/20
    • A method models a three-dimensional object with a compressed surface reflectance field. Images of the object are acquired with multiple cameras for multiple viewpoints under different lighting conditions. The images are stored in a matrix Mr representing a surface reflectance field for the three-dimensional object. The matrix Mr is factorized into principle components pck and coefficients cfk. The principal components pck are stored in a matrix Mpc. The matrix Mpc is then factorized into principle components pcm and coefficients cfk which can be stored for each vertex V of a model of the three-dimensional object. The corresponding values of the principle components pcm, coefficients cfk, and coefficients cfk, respectively represent a compression of a surface map, which can be rendered from arbitrary viewpoints and under arbitrary lighting conditions.
    • 一种用压缩表面反射场对三维物体建模的方法。 在不同的照明条件下,通过多个摄像机获取对象的图像以获得多个视点。 图像被存储在表示三维物体的表面反射场的矩阵Mr中。 矩阵Mr被分解为主成分pck和系数cfk。 主要组件pck存储在矩阵Mpc中。 然后将矩阵Mpc分解为主要分量pcm和可以为三维物体的模型的每个顶点V存储的系数cfk。 原理分量pcm,系数cfk和系数cfk的相应值分别表示可以从任意视点和任意照明条件下呈现的表面图的压缩。