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    • 4. 发明申请
    • Bi-scale radiance transfer
    • 双尺度辐射传输
    • US20050083340A1
    • 2005-04-21
    • US10687098
    • 2003-10-15
    • Peter-Pike SloanJohn SnyderXinguo LiuHeung-Yeung Shum
    • Peter-Pike SloanJohn SnyderXinguo LiuHeung-Yeung Shum
    • G06T15/50G09G5/00
    • G06T15/60G06T15/506
    • Computer graphics image rendering techniques render images modeling transfer at two scales. A macro-scale is coarsely sampled over an object's surface, providing global effects like shadows and interreflections cast from an arm onto a body. A meso-scale is finely sampled over a small patch to provide local texture. Low-order spherical harmonics represent low-frequency lighting dependence for both scales. To render, a coefficient vector representing distant source lighting is first transformed at the macro-scale by a matrix at each vertex of a coarse mesh, resulting in vectors representing a spatially-varying hemisphere of lighting incident to the meso-scale. A radiance transfer texture specifies the meso-scale response to each lighting basis component, and a function of a spatial index and a view direction. A dot product of the macro-scale result vector with the vector looked up from the radiance transfer texture performs the correct shading integral. An id map places radiance transfer texture samples from a small patch over the object's surface, so that only two scalars are specified at high spatial resolution.
    • 计算机图形图像渲染技术在两个尺度上渲染图像建模传输。 宏观尺度在对象的表面上粗略采样,提供全局效果,如阴影和从臂上投射到身体上的反射。 在小贴片上精细采样中尺度以提供局部纹理。 低阶球面谐波代表两种尺度的低频照明依赖性。 为了渲染,首先通过在粗网格的每个顶点处的矩阵在宏观尺度上变换表示远距离源照明的系数矢量,导致表示入射到中尺度的照明的空间变化的半球的矢量。 辐射传递纹理指定对每个照明基础部分的中尺度响应,以及空间索引和视图方向的函数。 宏观尺度结果向量与从辐射传递纹理查找的向量的点积执行正确的阴影积分。 id映射将辐射传递纹理样本从对象表面上的小补丁传递,以便在高空间分辨率下仅指定两个标量。
    • 8. 发明授权
    • Image generator and method for resolving non-binary cyclic occlusions with image compositing operations
    • 用图像合成操作解决非二进制循环闭塞的图像生成器和方法
    • US06215503B1
    • 2001-04-10
    • US09086966
    • 1998-05-29
    • John SnyderJames F. BlinnJerome E. Lengyel
    • John SnyderJames F. BlinnJerome E. Lengyel
    • G06T1700
    • G06T15/40
    • An image generator takes graphical objects and an occlusion relationship for the objects and resolves non-binary occlusion cycles with image compositing operations to produce an output image of the objects. The image generator takes an occlusion relationship for objects in a scene and a set of antialiased image layers with transparency of the objects and produces an antialiased image of the objects with hidden surfaces eliminated. One implementation operates on subsets of the objects in a scene that form non-binary cycles. This implementation uses a chain of atop operators to combine occluding objects with a selected object from a subset, and then combines this result with other objects in the cycle using over image operations. Another implementation computes a chain of out image operations for each object to combine the image layers of the occluding objects with the image layer of the object. The results of each chain of out image operations are summed to produce an output image.
    • 图像生成器为对象获取图形对象和遮挡关系,并通过图像合成操作解析非二进制闭塞周期以产生对象的输出图像。 图像生成器对场景中的对象和一组具有对象透明度的抗锯齿图像层采取闭塞关系,并产生具有隐藏表面的对象的抗锯齿图像。 一个实现对形成非二进制周期的场景中的对象的子集进行操作。 该实现使用顶部操作符链将闭塞对象与来自子集的所选对象组合,然后使用过度映像操作将该结果与循环中的其他对象组合。 另一个实现为每个对象计算出一组out图像操作,以将封闭对象的图像层与对象的图像层组合。 输出图像操作的每个链的结果被相加以产生输出图像。
    • 10. 发明授权
    • Reconstruction of sparse data
    • 重建稀疏数据
    • US08737769B2
    • 2014-05-27
    • US12954843
    • 2010-11-26
    • Mark FinchJohn SnyderHugues HoppeYonatan Wexler
    • Mark FinchJohn SnyderHugues HoppeYonatan Wexler
    • G06K9/32G06K9/40
    • G06T17/00G06T7/50
    • A dense guide image or signal is used to inform the reconstruction of a target image from a sparse set of target points. The guide image and the set of target points are assumed to be derived from a same real world subject or scene. Potential discontinuities (e.g., tears, edges, gaps, etc.) are first detected in the guide image. The potential discontinuities may be borders of Voronoi regions, perhaps computed using a distance in data space (e.g., color space). The discontinuities and sparse set of points are used to reconstruct the target image. Specifically, pixels of the target image may be interpolated smoothly between neighboring target points, but where neighboring target points are separated by a discontinuity, the interpolation may jump abruptly (e.g., by adjusting or influencing relaxation) at the discontinuity. The target points may be used to select only a subset of the discontinuities to be used during reconstruction.
    • 使用密集的引导图像或信号来通知来自稀疏目标点集合的目标图像的重建。 引导图像和目标点集合被假定为从相同的现实主题或场景导出。 在引导图像中首先检测到潜在的不连续性(例如,泪液,边缘,间隙等)。 潜在的不连续性可以是Voronoi区域的边界,可以使用数据空间中的距离(例如,颜色空间)来计算。 不连续点和稀疏集合点用于重建目标图像。 具体地说,目标图像的像素可以在相邻目标点之间平滑地内插,但是当相邻目标点被不连续分开时,插值可能突然地跳跃(例如,通过调节或影响松弛)而跳跃。 目标点可以用于仅在重建期间仅选择要使用的不连续的子集。