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    • 1. 发明授权
    • Smart scribbles for sketch segmentation
    • 智能涂鸦草图分割
    • US09082005B2
    • 2015-07-14
    • US13424083
    • 2012-03-19
    • Gioacchino NorisDaniel SykoraAriel ShamirStelian CorosAlexander HornungRobert SumnerMaryann SimmonsBrian WhitedMarkus Gross
    • Gioacchino NorisDaniel SykoraAriel ShamirStelian CorosAlexander HornungRobert SumnerMaryann SimmonsBrian WhitedMarkus Gross
    • G06T11/20G06K9/00G06K9/62
    • G06K9/00416G06K9/6224
    • A method is provided for sketch segmentation via smart scribbles, the results of which are especially suitable for interactive real-time graphics editing applications. A vector-based drawing may be segmented into labels based on input scribbles provided by a user. By organizing the labeling as an energy minimization problem, an approximate solution can be found using a sequence of binary graph cuts for an equivalent graph, providing an optimized implementation in a polynomial time suitable for real-time drawing applications. The energy function may include time, proximity, direction, and curvature between strokes as smoothness terms, and proximity, direction, and oriented curvature between strokes and scribbles as data terms. Additionally, the energy function may be modified to provide for user control over locality control, allowing the selection of appropriately sized labeling regions by scribble input speed or scribble input pressure. Once the drawing is labeled, a wide range of drawing applications are enabled.
    • 提供了一种通过智能涂鸦进行草图分割的方法,其结果特别适用于交互式实时图形编辑应用。 基于矢量的绘图可以基于用户提供的输入涂鸦来分割成标签。 通过将标签组织为能量最小化问题,可以使用等效图形的二进制图形切割序列找到近似解决方案,在适合实时绘图应用的多项式时间内提供优化的实现。 能量函数可以包括笔画之间的时间,接近度,方向和曲率,作为平滑度项,以及作为数据项的笔划和笔迹之间的接近度,方向和取向曲率。 此外,可以修改能量函数以提供用户对局部性控制的控制,允许通过涂抹输入速度或涂抹输入压力来选择适当尺寸的标签区域。 一旦绘图被标记,就可以使用各种绘图应用程序。
    • 3. 发明申请
    • Smart Scribbles for Sketch Segmentation
    • 智能涂鸦草图分割
    • US20130241934A1
    • 2013-09-19
    • US13424083
    • 2012-03-19
    • Gioacchino NorrisDaniel SykoraAriel ShamirStelian CorosAlexander HornungRobert SumnerMaryann SimmonsBrian WhitedMarkus Gross
    • Gioacchino NorrisDaniel SykoraAriel ShamirStelian CorosAlexander HornungRobert SumnerMaryann SimmonsBrian WhitedMarkus Gross
    • G06T11/20
    • G06K9/00416G06K9/6224
    • A method is provided for sketch segmentation via smart scribbles, the results of which are especially suitable for interactive real-time graphics editing applications. A vector-based drawing may be segmented into labels based on input scribbles provided by a user. By organizing the labeling as an energy minimization problem, an approximate solution can be found using a sequence of binary graph cuts for an equivalent graph, providing an optimized implementation in a polynomial time suitable for real-time drawing applications. The energy function may include time, proximity, direction, and curvature between strokes as smoothness terms, and proximity, direction, and oriented curvature between strokes and scribbles as data terms. Additionally, the energy function may be modified to provide for user control over locality control, allowing the selection of appropriately sized labeling regions by scribble input speed or scribble input pressure. Once the drawing is labeled, a wide range of drawing applications are enabled.
    • 提供了一种通过智能涂鸦进行草图分割的方法,其结果特别适用于交互式实时图形编辑应用。 基于矢量的绘图可以基于用户提供的输入涂鸦来分割成标签。 通过将标签组织为能量最小化问题,可以使用等效图形的二进制图形切割序列找到近似解决方案,在适合实时绘图应用的多项式时间内提供优化的实现。 能量函数可以包括笔画之间的时间,接近度,方向和曲率,作为平滑度项,以及作为数据项的笔划和笔迹之间的接近度,方向和取向曲率。 此外,可以修改能量函数以提供用户对局部性控制的控制,允许通过涂抹输入速度或涂抹输入压力来选择适当尺寸的标签区域。 一旦绘图被标记,就可以使用各种绘图应用程序。
    • 4. 发明申请
    • VECTORIZATION OF LINE DRAWINGS USING GLOBAL TOPOLOGY AND STORING IN HYBRID FORM
    • 使用全局拓扑和混合形式存储的线图的展示
    • US20110175916A1
    • 2011-07-21
    • US12843822
    • 2010-07-26
    • Gioacchino NorisAlexander HornungRobert SumnerMaryann SimmonsMarkus Gross
    • Gioacchino NorisAlexander HornungRobert SumnerMaryann SimmonsMarkus Gross
    • G06T11/20
    • G06K9/481G06K9/00416
    • An animation system can vectorize an image by generating, from an input drawing, a dataset corresponding to vector and digital representations of the input drawing such that a rendering engine could render an image having features in common with the input drawing from the representations, as a collection of strokes and/or objects rather than merely a collection of pixels having pixel color values. A vectorizer might receive an input image, generate a particle clustering data structure from a digitization of the input image, generate a stroke list, wherein strokes in the stroke list correspond to clusters of particles represented in the particle clustering data structure, generate a graph structure that represents connections between strokes on the stroke list, and determine additional characteristics of a stroke beyond the path of the stroke, additional characteristics being stored such that they correspond to strokes. The strokes might be generated using global topology information.
    • 动画系统可以通过从输入图形生成对应于输入图形的向量和数字表示的数据集来矢量化图像,使得渲染引擎可以从表示形式呈现具有与输入图形共同的特征的图像,作为 笔画和/或对象的集合,而不仅仅是具有像素颜色值的像素的集合。 向量化器可以接收输入图像,从输入图像的数字化生成粒子聚类数据结构,生成笔画列表,其中笔画列表中的笔画对应于在粒子聚类数据结构中表示的粒子簇,生成图形结构 其表示笔划列表上的笔画之间的连接,并且确定笔划的额外特征超出笔画的路径,附加特征被存储使得它们对应于笔画。 可以使用全局拓扑信息生成笔画。
    • 5. 发明授权
    • Vectorization of line drawings using global topology and storing in hybrid form
    • 使用全局拓扑和混合形式存储的线图的向量化
    • US08766982B2
    • 2014-07-01
    • US12843822
    • 2010-07-26
    • Gioacchino NorisAlexander HornungRobert SumnerMaryann SimmonsMarkus Gross
    • Gioacchino NorisAlexander HornungRobert SumnerMaryann SimmonsMarkus Gross
    • G06T11/20
    • G06K9/481G06K9/00416
    • An animation system can vectorize an image by generating, from an input drawing, a dataset corresponding to vector and digital representations of the input drawing such that a rendering engine could render an image having features in common with the input drawing from the representations, as a collection of strokes and/or objects rather than merely a collection of pixels having pixel color values. A vectorizer might receive an input image, generate a particle clustering data structure from a digitization of the input image, generate a stroke list, wherein strokes in the stroke list correspond to clusters of particles represented in the particle clustering data structure, generate a graph structure that represents connections between strokes on the stroke list, and determine additional characteristics of a stroke beyond the path of the stroke, additional characteristics being stored such that they correspond to strokes. The strokes might be generated using global topology information.
    • 动画系统可以通过从输入图形生成对应于输入图形的向量和数字表示的数据集来矢量化图像,使得渲染引擎可以从表示形式呈现具有与输入图形共同的特征的图像,作为 笔画和/或对象的集合,而不仅仅是具有像素颜色值的像素的集合。 向量化器可以接收输入图像,从输入图像的数字化生成粒子聚类数据结构,生成笔画列表,其中笔画列表中的笔画对应于在粒子聚类数据结构中表示的粒子簇,生成图形结构 其表示笔划列表上的笔画之间的连接,并且确定笔划的额外特征超出笔画的路径,附加特征被存储使得它们对应于笔画。 可以使用全局拓扑信息生成笔画。
    • 10. 发明授权
    • Iterative reprojection of images
    • 图像的迭代重新投影
    • US08624891B2
    • 2014-01-07
    • US13007968
    • 2011-01-17
    • Huw BowlesKenny MitchellRobert SumnerWojciech JaroszMarkus Gross
    • Huw BowlesKenny MitchellRobert SumnerWojciech JaroszMarkus Gross
    • G06T15/00G06T15/50G06T15/60
    • G06T15/205H04N13/261
    • Techniques are disclosed for performing image space reprojection iteratively. An insignificant parallax threshold depth is computed for a source image. Portions of the image having depth values greater than the insignificant parallax threshold depth may be shifted uniformly to produce corresponding portions of the reprojection (target) image. An iterative fixed-point reprojection algorithm is used to reproject the portions of the source image having depth values less than or equal to the insignificant parallax threshold depth. The fixed point reprojection algorithm quickly converges on the best pixel in the source image for each pixel in a target image representing an offset view of the source image. An additional rendering pass is employed to fill disoccluded regions of the target image, where the reprojection algorithm fails to converge.
    • 公开了用于迭代地执行图像空间重映射的技术。 为源图像计算不重要的视差阈值深度。 具有大于无效视差阈值深度的深度值的图像的部分可以均匀地偏移,以产生对再现(目标)图像的对应部分。 迭代定点重投影算法用于重新投影具有小于或等于无效视差阈值深度的深度值的源图像部分。 固定点重投影算法在代表源图像的偏移视图的目标图像中的每个像素上快速收敛于源图像中的最佳像素。 采用额外的渲染过程来填充目标图像的不同区域,其中重新投影算法无法收敛。