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    • 13. 发明申请
    • System and process for optimal texture map reconstruction from multiple views
    • 用于从多个视图获得最佳纹理贴图重建的系统和过程
    • US20050093877A1
    • 2005-05-05
    • US10983193
    • 2004-11-05
    • Lifeng WangSing KangRichard SzeliskiHeung-Yeung ShumBaining Guo
    • Lifeng WangSing KangRichard SzeliskiHeung-Yeung ShumBaining Guo
    • G09G5/00
    • G06T11/001
    • A system and process for reconstructing optimal texture maps from multiple views of a scene is described. In essence, this reconstruction is based on the optimal synthesis of textures from multiple sources. This is generally accomplished using basic image processing theory to derive the correct weights for blending the multiple views. Namely, the steps of reconstructing, warping, prefiltering, and resampling are followed in order to warp reference textures to a desired location, and to compute spatially-variant weights for optimal blending. These weights take into consideration the anisotropy in the texture projection and changes in sampling frequency due to foreshortening. The weights are combined and the computation of the optimal texture is treated as a restoration problem, which involves solving a linear system of equations. This approach can be incorporated in a variety of applications, such as texturing of 3D models, analysis by synthesis methods, super-resolution techniques, and view-dependent texture mapping.
    • 描述用于从场景的多个视图重建最佳纹理图的系统和过程。 实质上,这种重建是基于来自多个源的纹理的最佳合成。 这通常使用基本图像处理理论来实现,以导出用于混合多个视图的正确权重。 即,遵循重构,翘曲,预过滤和重采样的步骤,以便将参考纹理扭曲到期望的位置,并计算用于最佳混合的空间变体权重。 这些权重考虑到纹理投影中的各向异性和由于缩短引起的采样频率的变化。 权重相结合,最优纹理的计算被视为恢复问题,其涉及求解线性方程组。 这种方法可以并入各种应用中,例如3D模型的纹理化,通过合成方法的分析,超分辨率技术和视图相关的纹理映射。
    • 15. 发明授权
    • Scalable face image retrieval
    • 可扩展的面部图像检索
    • US08498455B2
    • 2013-07-30
    • US12792750
    • 2010-06-03
    • Qifa KeYi LiHeung-Yeung ShumJian SunZhong Wu
    • Qifa KeYi LiHeung-Yeung ShumJian SunZhong Wu
    • G06K9/00
    • G06K9/4676G06K9/00281
    • A system for identifying individuals in digital images and for providing matching digital images is provided. A set of images that include faces of known individuals is received. Faces are detected in the images and facial components are identified in each face. Visual words corresponding to the facial components are generated, stored, and associated with identifiers of the individuals. At a later time, a user may provide an image that includes the face of one of the known individuals. Visual words are determined from the face of the individual in the provided image and matched against the stored visual words. Images associated with matching visual words are ranked and presented to the user.
    • 提供了一种用于识别数字图像中的个体并提供匹配的数字图像的系统。 接收包括已知个人面孔的一组图像。 在图像中检测到面部,并且在每个面部中识别面部组件。 对应于面部组件的视觉词被生成,存储并与个人的标识符相关联。 在稍后的时间,用户可以提供包括已知个体之一的脸部的图像。 视觉词是从提供的图像中的个体的脸部确定的,并且与存储的视觉词匹配。 与匹配的视觉词相关联的图像被排序并呈现给用户。
    • 16. 发明申请
    • SCALABLE FACE IMAGE RETRIEVAL
    • 可扩展的脸部图像检索
    • US20110299743A1
    • 2011-12-08
    • US12792750
    • 2010-06-03
    • Qifa KeYi LiHeung-Yeung ShumJian SunZhong Wu
    • Qifa KeYi LiHeung-Yeung ShumJian SunZhong Wu
    • G06T7/00
    • G06K9/4676G06K9/00281
    • A system for identifying individuals in digital images and for providing matching digital images is provided. A set of images that include faces of known individuals is received. Faces are detected in the images and facial components are identified in each face. Visual words corresponding to the facial components are generated, stored, and associated with identifiers of the individuals. At a later time, a user may provide an image that includes the face of one of the known individuals. Visual words are determined from the face of the individual in the provided image and matched against the stored visual words. Images associated with matching visual words are ranked and presented to the user.
    • 提供了一种用于识别数字图像中的个体并提供匹配的数字图像的系统。 接收包括已知个人面孔的一组图像。 在图像中检测到面部,并且在每个面部中识别面部组件。 对应于面部组件的视觉词被生成,存储并与个人的标识符相关联。 在稍后的时间,用户可以提供包括已知个体之一的脸部的图像。 视觉词是从提供的图像中的个体的脸部确定的,并且与存储的视觉词匹配。 与匹配视觉词相关联的图像被排序并呈现给用户。
    • 19. 发明申请
    • Bi-Directional Tracking Using Trajectory Segment Analysis
    • 使用轨迹段分析进行双向跟踪
    • US20070086622A1
    • 2007-04-19
    • US11380635
    • 2006-04-27
    • Jian SunWeiwei ZhangXiaoou TangHeung-Yeung Shum
    • Jian SunWeiwei ZhangXiaoou TangHeung-Yeung Shum
    • G06K9/00G06K9/34
    • G06K9/3241G06K9/32G06T7/277
    • The present video tracking technique outputs a Maximum A Posterior (MAP) solution for a target object based on two object templates obtained from a start and an end keyframe of a whole state sequence. The technique first minimizes the whole state space of the sequence by generating a sparse set of local two-dimensional modes in each frame of the sequence. The two-dimensional modes are converted into three-dimensional points within a three-dimensional volume. The three-dimensional points are clustered using a spectral clustering technique where each cluster corresponds to a possible trajectory segment of the target object. If there is occlusion in the sequence, occlusion segments are generated so that an optimal trajectory of the target object can be obtained.
    • 本视频跟踪技术基于从整个状态序列的开始和结束关键帧获得的两个对象模板,为目标对象输出最大A后验(MAP)解决方案。 该技术首先通过在序列的每个帧中生成稀疏的局部二维模式集来最小化序列的整个状态空间。 二维模式在三维体积内被转换成三维点。 使用光谱聚类技术对三维点进行聚类,其中每个聚类对应于目标对象的可能的轨迹段。 如果序列中存在闭塞,则生成闭塞段,从而可以获得目标对象的最佳轨迹。
    • 20. 发明申请
    • Poisson matting for images
    • Poisson消光图像
    • US20070013813A1
    • 2007-01-18
    • US11183226
    • 2005-07-15
    • Jian SunJiaya JiaHeung-Yeung Shum
    • Jian SunJiaya JiaHeung-Yeung Shum
    • H04N9/74
    • G06T7/12G06T7/194G06T2207/20092
    • An exemplary method includes receiving a trimap for an image that specifies a background region, a foreground region and an unknown region for the image wherein a boundary exists between the foreground region and the unknown region and wherein another boundary exists between the unknown region and the background region, solving a set of Poisson equations having boundary conditions for the two boundaries to provide a matte that distinguishes a foreground region from a background region in the unknown region, and refining the matte by solving a set of Poisson equations for a local unknown region. Various other exemplary technologies are also presented.
    • 一种示例性方法包括:接收用于图像的微调,该图像指定用于图像的背景区域,前景区域和未知区域,其中在前景区域和未知区域之间存在边界,并且其中在未知区域和背景之间存在另一边界 区域,求解一组具有两个边界的边界条件的泊松方程,以提供区分未知区域中的前景区域和背景区域的无光泽,以及通过求解一组局部未知区域的泊松方程来改善无光泽。 还提出了各种其它示例性技术。