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    • 61. 发明授权
    • Decorating surfaces with textures
    • 用纹理装饰表面
    • US07602398B2
    • 2009-10-13
    • US11045868
    • 2005-01-28
    • Kun ZhouBaining GuoHeung-Yeung ShumLifeng WangYasuyuki Matsushita
    • Kun ZhouBaining GuoHeung-Yeung ShumLifeng WangYasuyuki Matsushita
    • G09G5/00
    • G06T15/04G06T17/20
    • Surfaces can be decorated with texture tiling and/or texture painting using one or more sample textures, such as BTFs. In a described implementation of texture tiling, a patch-based BTF synthesis algorithm is utilized. In an example embodiment, a mesh of a target surface is re-sampled to produce a dense mesh such that there is a one-to-one correspondence between vertices of the dense mesh and pixels of an image. Patch matching is then employed with a working image that corresponds to a working patch. In an example embodiment, the patch matching is effectuated using translations and rotations of the sample texture. In a described implementation of texture painting, irregular feature(s) of a sample texture are synthesized onto a target surface. In an example embodiment, user-specified constraints as to a desired foreground feature of a sample texture and an intended foreground region of a targeted surface are factored into a graphcut operation.
    • 表面可以使用纹理拼贴和/或使用一个或多个样本纹理(如BTF)的纹理绘画进行装饰。 在所描述的纹理平铺的实现中,使用基于块的BTF合成算法。 在一个示例性实施例中,对目标表面的网格进行重新采样以产生密集网格,使得在密集网格的顶点和图像的像素之间存在一一对应关系。 然后使用补丁匹配与对应于工作补丁的工作图像。 在示例实施例中,使用样本纹理的平移和旋转来实现斑块匹配。 在所描述的纹理绘画实现中,样本纹理的不规则特征被合成到目标表面上。 在示例性实施例中,关于样本纹理的期望前景特征和目标表面的预期前景区域的用户指定约束被考虑到图形切割操作中。
    • 63. 发明授权
    • Real-time rendering of partially translucent objects
    • 实时渲染部分半透明物体
    • US07589723B2
    • 2009-09-15
    • US11189491
    • 2005-07-25
    • Lifeng WangXu YangBaining GuoHeung-Yeung Shum
    • Lifeng WangXu YangBaining GuoHeung-Yeung Shum
    • G06T15/50G06T15/60G09G5/00
    • G06T15/50
    • Rendering of a partially translucent object is performed using a set of parameter maps derived from data measuring reflectance and transmittance of light received at the surface of the partially translucent object. Data is captured from an actual object being modeled, rather than estimated based on internal structure and composition. Parameter maps relating albedo, thickness variation, and specular intensity and roughness are stored as textures to facilitate rendering. In addition, realistic illumination from high energy sources such as sunlight is effected by separating light into low frequency and high frequency components. Low frequency components are rendered by precomputed radiance transfer. High frequency components, which are not modeled well by precomputed radiance transfer, are modeled using a light visibility convolution integral to generate light visibility maps for positions of the high frequency light source. Contributions from the different frequency components are combined to yield a realistic appearance.
    • 使用从测量在部分半透明物体的表面处接收的光的反射率和透射率的数据导出的一组参数图来执行部分半透明物体的渲染。 数据从被建模的实际对象中获取,而不是基于内部结构和组合来估计。 将反照率,厚度变化以及镜面强度和粗糙度相关的参数图存储为纹理以便于渲染。 此外,通过将光分离成低频和高频分量来实现来自诸如阳光的高能源的现实照明。 低频分量通过预先计算的辐射传输来渲染。 通过预先计算的辐射传输良好地建模的高频分量使用光可见度卷积积分来建模,以产生高频光源的位置的光可见度图。 来自不同频率分量的贡献被组合以产生现实的外观。
    • 66. 发明授权
    • Scene capturing and view rendering based on a longitudinally aligned camera array
    • 基于纵向对齐的摄像机阵列的场景捕获和视图渲染
    • US07538797B2
    • 2009-05-26
    • US10970511
    • 2004-10-21
    • Jiang LiHeung-Yeung Shum
    • Jiang LiHeung-Yeung Shum
    • H04N5/225H04N7/00H04N5/232
    • H04N13/279H04N13/221H04N13/243
    • In one embodiment, a longitudinal camera array is rotated through a capture cylinder, with each camera in the array capturing multiple images as the array rotates. These images can be looking outward along the radials of the cylinder, or alternatively looking tangential to the cylinder. The longitudinal camera array allows the surrounding scene to be captured from multiple different planes that are substantially parallel to the ends of the capture cylinder, allowing for more accurate subsequent rendering of the scene. A view of the scene can be subsequently rendered by determining a location and direction of view of an observer, and then selecting one or more of the multiple lateral and longitudinally adjacent capture images, as well as one or more pixels within that capture image(s), to use to determine a display value for the pixel.
    • 在一个实施例中,纵向相机阵列旋转通过捕获圆筒,阵列中的每个相机在阵列中捕获多个图像。 这些图像可以沿着圆柱体的径向向外看,或者与圆筒相切地看。 纵向相机阵列允许从基本上平行于捕获圆筒的端部的多个不同平面捕获周围场景,从而允许更准确地随后渲染场景。 可以随后通过确定观察者的位置和方向,然后选择多个横向和纵向相邻捕获图像中的一个或多个,以及该捕获图像内的一个或多个像素来呈现场景视图 ),用于确定像素的显示值。
    • 68. 发明授权
    • Detecting doctored images using camera response normality and consistency
    • 使用相机响应的正常性和一致性来检测图像
    • US07505606B2
    • 2009-03-17
    • US11132865
    • 2005-05-19
    • Zhouchen LinRongrong WangXiaoou TangHeung-Yeung Shum
    • Zhouchen LinRongrong WangXiaoou TangHeung-Yeung Shum
    • G06K9/00
    • G06K9/00G06K9/00899
    • Embodiments of the invention determine whether an image has been altered. Sets of patches are selected in the image, and corresponding inverse response functions are provided to a support vector machine (SVM). The support vector machine is trained with exemplary normal and abnormal inverse response functions. Once trained, the support vector machine analyzes inverse response functions corresponding to a suspected image. The support vector machine determines if the inverse response functions are normal or abnormal by analyzing a set of features. In one embodiment, features include measures for monotonic characteristics, fluctuation characteristics, and divergence characteristics of the red, green, and blue components of a tuple. Each tuple of inverse response functions is associated with a set of patches selected in the image.
    • 本发明的实施例确定图像是否已被改变。 在图像中选择一组补丁,并将相应的反应函数提供给支持向量机(SVM)。 支持向量机用示例性正常和异常的反应函数进行训练。 训练后,支持向量机分析与疑似图像相对应的反应响应函数。 支持向量机通过分析一组特征来确定逆响应函数是正常还是异常。 在一个实施例中,特征包括用于元组的红,绿和蓝分量的单调特性,波动特性和发散特性的度量。 反向响应函数的每个元组与在图像中选择的一组补丁相关联。
    • 70. 发明申请
    • Image Deblurring with Blurred/Noisy Image Pairs
    • 图像消除与模糊/嘈杂的图像对
    • US20080240607A1
    • 2008-10-02
    • US11961752
    • 2007-12-20
    • Jian SunHeung-Yeung Shum
    • Jian SunHeung-Yeung Shum
    • G06K9/40
    • G06T5/003G06T5/50
    • Image deblurring with blurred/noisy image pairs is described. In one implementation, a system combines a blurred image with a corresponding noisy image of the same subject to create a high-quality deblurred image. The blurred/noisy image pair can be acquired by an inexpensive hand-held camera, e.g., in unfavorable low light conditions. An exemplary iterative process uses the blurred image and the noisy image at each step to produce the high-quality image. First, the system estimates the blur kernel of the blurred image using information from both the blurred and noisy images. Then, the system performs residual image deconvolution, which favors suppression of ringing artifacts. Finally, the system applies gain-controlled deconvolution to suppress remaining ringing artifacts in smooth image regions. The system iterates these steps to obtain the final high-quality image.
    • 描述了具有模糊/噪声图像对的图像去模糊。 在一个实现中,系统将模糊图像与相同对象的对应噪声图像相结合,以创建高质量的去模糊图像。 模糊/嘈杂的图像对可以由便宜的手持相机获取,例如在不利的低光条件下。 示例性迭代过程在每个步骤使用模糊图像和噪声图像来产生高质量图像。 首先,系统使用来自模糊和嘈杂图像的信息来估计模糊图像的模糊内核。 然后,系统执行残差图像去卷积,有利于抑制振铃伪像。 最后,系统采用增益控制去卷积来抑制平滑图像区域中的剩余振铃伪像。 系统迭代这些步骤以获得最终的高质量图像。