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1.发明授权公开(公告)号：US07826072B1
公开(公告)日：2010-11-02
申请号：US11999814
申请日：2007-12-06
申请人： Daniel C. Wack , Andrei Veldman , Edward R. Ratner , John Hench , Noah Bareket
发明人： Daniel C. Wack , Andrei Veldman , Edward R. Ratner , John Hench , Noah Bareket
CPC分类号： G01B11/0625 , G01B11/24 , G01B2210/56
摘要： The present application discloses a method of model-based measurement of semiconductor device features using a scatterometer system. The method includes at least the following steps. A cost function is defined depending upon a plurality of variable parameters of the scatterometer system and upon a plurality of variable parameters for computer-implemented modeling to determine measurement results. Constraints are established for the plurality of variable parameters of the scatterometer system and for the plurality of variable parameters for the computer-implemented modeling. A computer-implemented optimization procedure is performed to determine an optimized global set of parameters, including both the variable parameters of the scatterometer system and the variable parameters for the computer-implemented modeling, which result in a minimal value of the cost function. Finally, the optimized global set of parameters is applied to configure the scatterometer system and the computer-implemented modeling. Other embodiments, features and aspects are also disclosed herein.
摘要翻译： 本申请公开了使用散射仪系统的基于模型的半导体器件特征的测量方法。 该方法至少包括以下步骤。 根据散射仪系统的多个可变参数以及多个用于计算机实现的建模的可变参数来确定测量结果来定义成本函数。 为散射仪系统的多个可变参数和计算机实现的建模的多个可变参数建立约束。 执行计算机实现的优化过程以确定优化的全局参数集合，包括散射仪系统的可变参数和用于计算机实现的建模的可变参数，其导致成本函数的最小值。 最后，应用优化的全局参数集来配置散射仪系统和计算机实现的建模。 本文还公开了其它实施例，特征和方面。
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2.发明授权Model-based measurement of semiconductor device features with feed forward use of data for dimensionality reduction 有权基于模型的半导体器件特征的测量，具有前馈使用的数据降维公开(公告)号：US07716003B1
公开(公告)日：2010-05-11
申请号：US11879227
申请日：2007-07-16
申请人： Daniel C. Wack , Andrei Veldman , Edward R. Ratner , John Hench , Noah Bareket
发明人： Daniel C. Wack , Andrei Veldman , Edward R. Ratner , John Hench , Noah Bareket
IPC分类号： G01R27/28
CPC分类号： G01N21/4788 , G01N21/956
摘要： The present application discloses a new technique which reduces the dimensionality of a feature model by re-use of data that has been obtained by a prior measurement. The data re-used from the prior measurement may range from parameters, such as geometrical dimensions, to more complex data that describe the electromagnetic scattering function of an underlying layer (for example, a local solution of the electric field properties).
摘要翻译： 本申请公开了一种通过重新使用通过先前测量获得的数据来降低特征模型的维度的新技术。 从先前测量重新使用的数据可以从诸如几何尺寸的参数到描述下层的电磁散射函数的更复杂的数据（例如，电场性质的局部解）。
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3.发明申请Computer-implemented method for automated object recognition and classification in scenes using segment-based object extraction 审中-公开用于使用基于段的对象提取的场景中的自动对象识别和分类的计算机实现的方法公开(公告)号：US20080123959A1
公开(公告)日：2008-05-29
申请号：US11821767
申请日：2007-06-25
IPC分类号： G06K9/34
摘要： One embodiment relates to a computer-implemented method for automated object recognition and classification in scenes using segment-based object extraction. The method includes automated procedures for receiving video images, creating segmentation maps from said images, grouping segments so as to form extracted objects, extracting features from said extracted objects, classifying said extracted objects using said features. Other features, aspects and embodiments are also disclosed.
摘要翻译： 一个实施例涉及一种用于使用基于段的对象提取的场景中的自动对象识别和分类的计算机实现的方法。 该方法包括用于接收视频图像的自动化过程，从所述图像创建分割图像，分组分段以形成提取的对象，从所提取的对象中提取特征，使用所述特征对所提取的对象进行分类。 还公开了其它特征，方面和实施例。
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公开(公告)号：US07099513B2
公开(公告)日：2006-08-29
申请号：US10175510
申请日：2002-06-18
IPC分类号： G06K9/36
CPC分类号： G06T9/005 , H04N19/147 , H04N19/61 , H04N19/63
摘要： A process and apparatus for allocating bits between the stages of a multi-stage digital image compression scheme with quantizer feedback is disclosed. The process selects a quantization schedule (from a finite number of possibilities) for all stages that minimizes an estimate of total distortion while keeping total bit demand below a constraint; uses said schedule to actually quantize one stage of the compression scheme; selects a new quantization schedule for the remaining stages using estimates for distortion and bit demand that are updated to reflect the quantization of the previous stage; actually quantizes the next stage according to the new quantization schedule; and continues recursively until it has chosen an actual quantization scale for every stage of the compression scheme.
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5.发明授权Computer-implemented method for efficient image segmentation using automated saddle-point detection 有权使用自动鞍点检测的计算机实现的高效图像分割方法公开(公告)号：US07848571B2
公开(公告)日：2010-12-07
申请号：US11821639
申请日：2007-06-25
IPC分类号： G06K9/34
CPC分类号： G06K9/4638 , G06T7/12 , G06T7/155 , G06T7/181 , G06T2207/20041
摘要： One embodiment relates to a computer-implemented method of image segmentation using automated saddle point detection. An edge map is created by edge detection, and a distance map is generated based on the edge map. Saddle points are detected using the distance map. Connector pixels are determined using the saddle points, and connector pixels forming valid connecting paths are marked as edge pixels. Finally, flood filling is performed within edges to designate image segments. Other features, aspects and embodiments are also disclosed.
摘要翻译： 一个实施例涉及使用自动鞍点检测的计算机实现的图像分割方法。 通过边缘检测创建边缘图，并且基于边缘图生成距离图。 使用距离图检测鞍点。 使用鞍点确定连接器像素，并且形成有效连接路径的连接器像素被标记为边缘像素。 最后，在边缘内进行灌水以指定图像段。 还公开了其它特征，方面和实施例。
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6.发明申请Computer-implemented method for object creation by partitioning of a temporal graph 有权计算机实现的通过分割时间图的对象创建的方法公开(公告)号：US20080123957A1
公开(公告)日：2008-05-29
申请号：US11821636
申请日：2007-06-25
CPC分类号： G06T7/246 , G06T2207/10016 , G06T2207/20072 , G06T2207/30241
摘要： One embodiment relates to a computer-implemented method for the automated extraction of objects from a video stream. The method includes an automated procedure for creating a temporal graph, and an automated procedure for cutting the graph into graph partitions. The method further includes an automated procedure for mapping the graph partitions to pixels in frames of the video stream. Other features, aspects and embodiments are also disclosed.
摘要翻译： 一个实施例涉及用于从视频流自动提取对象的计算机实现的方法。 该方法包括用于创建时间图的自动化过程，以及用于将图形切割成图形分区的自动化过程。 该方法还包括用于将图形分区映射到视频流的帧中的像素的自动化过程。 还公开了其它特征，方面和实施例。
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公开(公告)号：US06778698B1
公开(公告)日：2004-08-17
申请号：US09591438
申请日：2000-06-09
申请人： Adityo Prakash , Edward R. Ratner , John S. Chen , David L. Cook
发明人： Adityo Prakash , Edward R. Ratner , John S. Chen , David L. Cook
IPC分类号： G06K948
CPC分类号： G06K9/342
摘要： An image segmenter uses one or more techniques to accurately segment an image, including the use of a progressive flood fill to fill incompletely bounded segments, the use of a plurality of scaled transformations and guiding segmentation at one scale with segmentation results from another scale, detecting edges using a composite image that is a composite of multiple color planes, generating edge chains using multiple classes of edge pixels, generating edge chains using the plurality of scaled transformations, and/or filtering spurious edges at one scale based on edges detected at another scale.
摘要翻译： 图像分割器使用一种或多种技术来精确地分割图像，包括使用渐进式填充填充来填充不完全限定的片段，使用多个缩放变换并且以一个尺度对来自另一个尺度的分割结果引导分割，检测 边缘，其使用作为多个颜色平面的复合的合成图像，使用多个边缘像素类生成边缘链，使用多个缩放变换生成边缘链，和/或基于在另一个尺度检测到的边缘以一个刻度来过滤伪边缘 。
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公开(公告)号：US08264544B1
公开(公告)日：2012-09-11
申请号：US11982858
申请日：2007-11-05
IPC分类号： H04N5/225
CPC分类号： H04N5/272
摘要： A method for automated content insertion into a video sequence. The video sequence comprising a sequence of frames is received. An automated determination is made of non-moving pixels in the sequence of frames. Thereafter, an automated identification is made of valid regions comprising the non-moving pixels which are suitable for unobtrusive content insertion. Other embodiments, aspects and features are also disclosed.
摘要翻译： 一种自动内容插入视频序列的方法。 接收包括一系列帧的视频序列。 自动确定帧序列中的不移动像素。 此后，自动识别包括适合于不引人注意的内容插入的非移动像素的有效区域。 还公开了其它实施例，方面和特征。
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公开(公告)号：US08145003B2
公开(公告)日：2012-03-27
申请号：US12873083
申请日：2010-08-31
IPC分类号： G06K9/46
CPC分类号： H04N19/649 , H04N19/119 , H04N19/30 , H04N19/50 , H04N19/593
摘要： In one embodiment, an image is broken up into multiple regions or segments, where each segment may be of arbitrary shape, and a transform (multi-scale or otherwise) is applied on the set of segments. In another embodiment, pattern adaptive prediction is used when predicting the next finer level of the transform pyramid. The pattern adaptive prediction uses the parent grid to determine what geometry of a filter is to be used when predicting the child grid. At the boundaries of the domain, the pattern adaptive prediction can coupled with the domain adaptive prediction technique.
摘要翻译： 在一个实施例中，图像被分解成多个区域或区段，其中每个区段可以是任意形状，并且在该组段上应用变换（多尺度或其他）。 在另一个实施例中，当预测变换金字塔的下一个较细的级别时，使用模式自适应预测。 模式自适应预测使用父网格来确定在预测子网格时要使用的滤波器的几何形状。 在域的边界，模式自适应预测可以与域自适应预测技术相结合。
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10.发明授权Automated method and apparatus for estimating motion of an image segment using motion vectors from overlapping macroblocks 有权用于使用来自重叠宏块的运动矢量估计图像片段的运动的自动方法和装置公开(公告)号：US08085849B1
公开(公告)日：2011-12-27
申请号：US11981455
申请日：2007-10-30
IPC分类号： H04N7/28
CPC分类号： H04N19/543 , G06T7/11 , G06T7/155 , G06T7/246 , G06T2207/20021 , G06T2207/20041 , G06T2207/20152 , H04N19/521
摘要： One embodiment relates to an automated method for estimating motion of an image segment. An image frame is segmented into irregularly-shaped image segments. Motion vectors of blocks of pixels in the image frame are estimated. A determination is made as to the blocks which overlap a segment, and candidate motion vectors are determined from the motion vectors for those overlapping blocks. A motion vector for the segment is selected from amongst the candidate motion vectors. Other embodiments, aspects, and features are also disclosed.
摘要翻译： 一个实施例涉及用于估计图像段的运动的自动化方法。 图像帧被分割成不规则形状的图像片段。 估计图像帧中的像素块的运动矢量。 确定与片段重叠的块，并且根据这些重叠块的运动矢量来确定候选运动矢量。 从候选运动矢量中选择该段的运动矢量。 还公开了其它实施例，方面和特征。
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