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    Object Classification Through Semantic Mapping
    2.
    发明申请
    Object Classification Through Semantic Mapping 有权
    通过语义映射进行对象分类

    公开(公告)号：US20160292538A1

    公开(公告)日：2016-10-06

    申请号：US14675268

    申请日：2015-03-31

    申请人： Disney Enterprises, Inc.

    发明人： Sung Ju Hwang ,  Jonghyun Choi ,  Leonid Sigal

    IPC分类号： G06K9/62

    CPC分类号： G06K9/6269 ,  G06K9/628 ,  G06K9/6286

    摘要： There are provided systems and methods for performing object classification through semantic mapping. Such an object classification system includes a system processor, a system memory, and an object categorizing unit stored in the system memory. The system processor is configured to execute the object categorizing unit to receive image data corresponding to an object, and to transform the image data into a directed quantity expressed at least in part in terms of semantic parameters. The system processor is further configured to determine a projection of the directed quantity onto an object representation map including multiple object categories, and to associate the object with a category from among the multiple object categories based on the projection.

    摘要翻译： 提供了通过语义映射来执行对象分类的系统和方法。 这样的对象分类系统包括系统处理器，系统存储器和存储在系统存储器中的对象分类单元。 系统处理器被配置为执行对象分类单元以接收与对象相对应的图像数据，并且将图像数据变换成至少部分地根据语义参数表达的定向量。 系统处理器还被配置为确定定向量的投影到包括多个对象类别的对象表示图上，并且基于投影将对象与多个对象类别中的类别相关联。

    Selecting classifier engines
    3.
    发明授权
    Selecting classifier engines 有权
    选择分类机引擎

    公开(公告)号：US09218543B2

    公开(公告)日：2015-12-22

    申请号：US14364749

    申请日：2012-04-30

    申请人： Steven J Simske ,  Malgorzata M Sturgill ,  Jason S Aronoff ,  Paul S Everest

    发明人： Steven J Simske ,  Malgorzata M Sturgill ,  Jason S Aronoff ,  Paul S Everest

    IPC分类号： G06K9/80 ,  G06K9/62

    CPC分类号： G06K9/6227 ,  G06K9/6256 ,  G06K9/6286

    摘要： Methods, and apparatus for performing methods, for selecting a classifier engine. Methods include, for two or more portions of a set of items of known classification, classifying members of each portion using a particular classifier engine; selecting a portion of the set of items whose classifications satisfy a first criteria; classifying members of the selected portion of the set of items using two or more classifier engines; and selecting a classifier engine whose classification of the selected portion of the set of items satisfies a second criteria.

    摘要翻译： 用于执行方法的方法和装置，用于选择分类器引擎。 方法包括对于一组已知分类的两个或多个部分，使用特定分类器引擎对每个部分进行分类; 选择其分类满足第一标准的一组项目的一部分; 使用两个或更多个分类引擎对所述一组项目的所选部分的成员进行分类; 以及选择所述一组项目的所选部分的分类满足第二准则的分类器引擎。

    IMAGE RECOGNITION METHOD AND CAMERA SYSTEM
    4.
    发明申请
    IMAGE RECOGNITION METHOD AND CAMERA SYSTEM 有权
    图像识别方法和相机系统

    公开(公告)号：US20150363670A1

    公开(公告)日：2015-12-17

    申请号：US14730154

    申请日：2015-06-03

    申请人： Panasonic Intellectual Property Management Co., Ltd.

    发明人： YOSHIHIRO SUGISHITA ,  RYOHEI WAKAI ,  AKIHIRO MIYAZAKI

    IPC分类号： G06K9/62 ,  H04N7/18 ,  G06K9/52

    CPC分类号： H04N7/181 ,  G06K9/00771 ,  G06K9/00993 ,  G06K9/6257 ,  G06K9/6286 ,  H04N7/188

    摘要： A first image taken by a first camera device in the plurality of camera devices and first imaging environment information indicating a first imaging environment of the first camera device at a time of taking the first image is acquired. By using a parameter table that manages imaging environment information indicating an imaging environment at a time of taking an image previously by a camera device and a recognition control parameter indicating a detector corresponding to an imaging environment, a first recognition control parameter indicating a first detector corresponding to third imaging environment that is identical or similar to the first imaging environment indicated by the first imaging environment information acquired from the first camera device is selected from the recognition control parameters. The first image acquired from the first camera device is recognized by using the first detector indicated by the selected first recognition control parameter.

    摘要翻译： 获取由多个相机装置中的第一相机装置拍摄的第一图像和指示在拍摄第一图像时第一相机装置的第一成像环境的第一成像环境信息。 通过使用参数表，其管理在摄像机装置预先拍摄图像时指示成像环境的成像环境信息和指示与成像环境对应的检测器的识别控制参数，第一识别控制参数指示对应于第一检测器 从识别控制参数中选择与由从第一相机装置获取的第一成像环境信息指示的第一成像环境相同或相似的第三成像环境。 通过使用由所选择的第一识别控制参数指示的第一检测器识别从第一相机装置获取的第一图像。

    Adaptive fisher's linear discriminant
    5.
    发明授权
    Adaptive fisher's linear discriminant 失效
    自适应Fisher线性判别

    公开(公告)号：US07961956B1

    公开(公告)日：2011-06-14

    申请号：US12584316

    申请日：2009-09-03

    申请人： Thomas Cecil Minter

    发明人： Thomas Cecil Minter

    IPC分类号： G06K9/62

    CPC分类号： G06K9/6234 ,  G06K9/6259 ,  G06K9/6269 ,  G06K9/6278 ,  G06K9/6284 ,  G06K9/6286

    摘要： This invention relates generally to a system and method for classifying input patterns into two classes, a class-of-interest or a class-other, utilizing an Adaptive Fisher's Linear Discriminant method capable of estimating an optimal Fisher's linear decision boundary for discriminating between the two classes, when training samples are provided a priori only for the class-of-interest. The system and method eliminates the requirement for any a priori knowledge of the other classes in the data set to be classified. The system and method is capable of extracting statistical information corresponding to the “other classes” from the data set to be classified, without recourse to the a priori knowledge normally provided by training samples from the other classes. The system and method can re-optimize (adapt) the decision boundary to provide optimal Fisher's linear discrimination between the two classes in a new data set, using only unlabeled samples from the new data set.

    摘要翻译： 本发明一般涉及一种用于将输入模式分类为两类，即兴趣类别或类别的系统和方法，利用自适应Fisher线性判别方法能够估计最佳Fisher's线性判别边界以区分两者 当培训样本仅为兴趣类提供时，才能提供课程。 系统和方法消除了对要分类的数据集中的其他类的任何先验知识的要求。 该系统和方法能够从对待分类的数据集中提取与“其他类别”相对应的统计信息，而不需要通过训练来自其他类的样本通常提供的先验知识。 系统和方法可以重新优化（适应）决策边界，以便在新数据集中仅使用未标记的新数据集中的样本，以提供两类之间的最佳Fisher线性判别。

    Method and system for scheduling using a facet ascending algorithm or a reduced complexity bundle method for solving an integer programming problem
    6.
    发明授权
    Method and system for scheduling using a facet ascending algorithm or a reduced complexity bundle method for solving an integer programming problem 失效

    公开(公告)号：US5715165A

    公开(公告)日：1998-02-03

    申请号：US363216

    申请日：1994-12-23

    申请人： Peter B. Luh ,  Robert N. Tomastik

    发明人： Peter B. Luh ,  Robert N. Tomastik

    IPC分类号： G06Q10/04 ,  G06F19/00

    CPC分类号： G06K9/6286 ,  G06K9/6281 ,  G06Q10/04

    摘要： A method and system for scheduling using a facet ascending algorithm or a reduced complexity bundle method for solving an integer programming problem is presented. A Lagrangian dual function of an integer scheduling problem is maximized (for a primal minimization problem) to obtain a good near-feasible solution, and to provide a lower bound to the optimal value of the original problem. The dual function is a polyhedral concave function made up of many facets. The facet ascending algorithm of the present invention exploits the polyhedral concave nature of the dual function by ascending facets along intersections of facets. At each iteration, the algorithm finds the facets that intersect at the current dual point, calculates a direction of ascent along these facets, and then performs a specialized line search which optimizes a scaler polyhedral concave function in a finite number of steps. An improved version of the facet ascending algorithm, the reduced complexity bundle method, maximizes a nonsmooth concave function of variables. This is accomplished by finding a hyperplane separating the origin and the affine manifold of a polyhedron. The hyperplane also separates the origin and the polyhedron since the polyhedron is a subset of its affine manifold. Then an element of the bundle is projected onto the subspace normal to the affine manifold to produce a trial direction normal. If the projection is zero (i.e., indicating the affine manifold contains the origin), a re-projection onto the subspace normal to the affine manifold of an appropriate face of the polyhedron gives a trial direction. This reduced complexity bundle method always finds an .epsilon.-ascent trial direction or detects an .epsilon.-optimal point, thus maintaining global convergence. The method can be used to maximize the dual function of a mixed-integer scheduling problem.

    Information processing apparatus, information processing method, and non-transitory computer readable storage medium
    8.
    发明授权
    Information processing apparatus, information processing method, and non-transitory computer readable storage medium 有权

    公开(公告)号：US09824301B2

    公开(公告)日：2017-11-21

    申请号：US15139603

    申请日：2016-04-27

    申请人： CANON KABUSHIKI KAISHA

    发明人： Tsewei Chen

    IPC分类号： G06K9/62 ,  G06K9/54 ,  G06K9/00

    CPC分类号： G06K9/6282 ,  G06K9/00228 ,  G06K9/6257 ,  G06K9/6286

    摘要： In an information processing apparatus that includes sequences of weak classifiers which are logically cascade-connected in each sequence and the sequences respectively correspond to categories of an object and in which the weak classifiers are grouped into at least a first group and a second group in the order of connection, classification processing by weak classifiers belonging to the first group of respective categories is performed by pipeline processing. Based on the processing results of the weak classifiers belonging to the first group of the respective categories, categories in which classification processing by weak classifiers belonging to the second group is to be performed are decided out of the categories. The classification processing by the weak classifiers respectively corresponding to the decided categories and belonging to the second group is performed by pipeline processing.