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    Object instance ambiguity resolution
    1.
    发明授权
    Object instance ambiguity resolution 有权

    公开(公告)号：US11164037B2

    公开(公告)日：2021-11-02

    申请号：US16051689

    申请日：2018-08-01

    申请人： International Business Machines Corporation

    发明人： Mattias Marder ,  Yochay Tzur

    IPC分类号： G06K9/62 ,  G06K9/00 ,  G06T17/00 ,  G06T7/70 ,  G06F16/583 ,  G06F16/58

    摘要： A system and method for resolving an ambiguity between similar objects in an image is disclosed. A three dimensional representation of a room is generated, and objects in the room are identified from an image of the room are identified. A determination is made that at least two objects are visually similar, and a position of the two objects is ambiguous. At least one question based on the determined ambiguity is programmatically generated based on information known about the room, and is phrased such that the ambiguity can be resolved by an answer to the question. Based on the answer received one of the objects is selected. At least one property of the selected object is modified based upon the selection of one of the at least two objects.

    Systems and methods for identifying a target object in an image
    2.
    发明授权
    Systems and methods for identifying a target object in an image 有权

    公开(公告)号：US10395143B2

    公开(公告)日：2019-08-27

    申请号：US16199270

    申请日：2018-11-26

    申请人： International Business Machines Corporation

    发明人： Sivan Harary ,  Leonid Karlinsky ,  Mattias Marder ,  Joseph Shtok ,  Asaf Tzadok

    IPC分类号： G06F16/51 ,  G06F16/58 ,  G06F16/583 ,  G06K9/46 ,  G06K9/62 ,  G06N20/00 ,  G06N5/04

    摘要： There is provided a method of identifying objects in an image, comprising: extracting query descriptors from the image, comparing each query descriptor with training descriptors for identifying matching training descriptors, each training descriptor is associated with a reference object identifier and with relative location data (distance and direction from a center point of a reference object indicated by the reference object identifier), computing object-regions of the digital image by clustering the query descriptors having common center points defined by the matching training descriptors, each object-region approximately bounding one target object and associated with a center point and a scale relative to a reference object size, wherein the object-regions are computed independently of the identifier of the reference object associated with the object-regions, wherein members of each cluster point toward a common center point, and classifying the target object of each object-region according to the reference object identifier of the cluster.

    ROTATION INVARIANT OBJECT DETECTION
    4.
    发明申请
    ROTATION INVARIANT OBJECT DETECTION 审中-公开

    公开(公告)号：US20170323149A1

    公开(公告)日：2017-11-09

    申请号：US15146905

    申请日：2016-05-05

    申请人： International Business Machines Corporation

    发明人： Sivan Harary ,  Mattias Marder

    IPC分类号： G06K9/00 ,  G06K9/62 ,  G06T3/00

    CPC分类号： G06K9/4671 ,  G06K9/6211 ,  G06K9/66 ,  G06K2009/6213 ,  G06K2209/29 ,  G06T7/579 ,  G06T7/74

    摘要： A method, including receiving a two-dimensional (2D) image of a three-dimensional (3D) object recorded at a first angle of rotation of the object, and identifying, in the 2D image, a set of image descriptors, each of the image descriptors including an image keypoint and one or more image features. The set of image descriptors are compared against sets of template descriptors for respective previously captured 2D images, each of the template descriptors comprising a template keypoint and one or more template features. Using a threshold, a given set of template descriptors matching the set of image descriptors are identified, the given set of template descriptors corresponding to a given previously captured 2D image of the 3D object recorded at a second angle of rotation of the object. Any of the image descriptors not in the given set of the template descriptors are added to the given set of template descriptors.

    Automatic image classification
    6.
    发明授权
    Automatic image classification 有权
    自动图像分类

    公开(公告)号：US09536144B2

    公开(公告)日：2017-01-03

    申请号：US14582216

    申请日：2014-12-24

    申请人： International Business Machines Corporation

    发明人： Sharon Alpert ,  Mattias Marder

    IPC分类号： G06K9/36 ,  G06K9/00 ,  G06K9/62

    CPC分类号： G06K9/0055 ,  G06K9/4676 ,  G06K9/6228 ,  G06K9/6276 ,  G06K9/628 ,  G06K2009/4666 ,  G06K2209/25

    摘要： A method, system and product for image classification. The method comprising obtaining a set of encoding functions and signature values which corresponds to a set of class images, wherein each pair of an encoding function and a signature value corresponds to a class image of the set of class images, wherein the signature value is a value produced by applying the encoding function on the class image; obtaining an image to be classified to a class associated with a class image of the set of class images; with respect to each class image of the set of class images: determining a transformation from the image to the class image; and applying the encoding function using the transformation on the image to produce a value; and automatically determining a class to which the image is classified based on the values and the signature values.

    摘要翻译： 一种用于图像分类的方法，系统和产品。 该方法包括获得对应于一组类图像的一组编码函数和签名值，其中每对编码功能和签名值对应于该类图像集合的类图像，其中该签名值为 通过对类图像应用编码函数产生的值; 获得要分类到与所述一组类图像的类图像相关联的类别的图像; 关于该类图像集合的每个类图像：确定从图像到类图像的变换; 以及使用所述图像上的变换来应用编码函数以产生一个值; 并且基于所述值和所述签名值自动确定所述图像被分类的类。

    AERIAL VIDEO ANNOTATION
    7.
    发明申请
    AERIAL VIDEO ANNOTATION 有权

    公开(公告)号：US20150070392A1

    公开(公告)日：2015-03-12

    申请号：US14020911

    申请日：2013-09-09

    申请人： International Business Machines Corporation

    发明人： Ophir Azulai ,  Udi Barzelay ,  Mattias Marder ,  Oded Margalit ,  Dror Porat

    IPC分类号： G06T7/00 ,  G06T17/05

    CPC分类号： G06T17/05 ,  G06T19/00 ,  G06T2219/004

    摘要： A method comprising using at least one hardware processor for: receiving an aerially-captured video and metadata associated with the video; receiving deviation data indicative of an amount of inaccuracy in the metadata; and overlaying, on the video, a geographic annotation descriptive of an object of interest having known geographic coordinates, wherein the geographic annotation is of a size and a shape representative of the amount of inaccuracy.

    摘要翻译： 一种方法，包括使用至少一个硬件处理器，用于：接收空中捕获的视频和与所述视频相关联的元数据; 接收表示所述元数据中的不准确度的偏差数据; 以及在所述视频上覆盖描述具有已知地理坐标的感兴趣对象的地理注释，其中所述地理注释具有代表不准确度量的大小和形状。

    Out-of-sample generating few-shot classification networks
    8.
    发明授权
    Out-of-sample generating few-shot classification networks 有权

    公开(公告)号：US10796203B2

    公开(公告)日：2020-10-06

    申请号：US16206528

    申请日：2018-11-30

    申请人： International Business Machines Corporation

    发明人： Leonid Karlinsky ,  Mattias Marder ,  Eliyahu Schwartz ,  Joseph Shtok ,  Sivan Harary

    IPC分类号： G06K9/62

    摘要： Embodiments of the present disclosure include training a model using a plurality of pairs of feature vectors related to a first class. Embodiments include providing a sample feature vector related to a second class as an input to the model. Embodiments include receiving at least one synthesized feature vector as an output from the model. Embodiments include training a classifier to recognize the second class using a training data set comprising the sample feature vector related to the second class and the at least one synthesized feature vector. Embodiments include providing a query feature vector as an input to the classifier. Embodiments include receiving output from the classifier that identifies the query feature vector as being related to the second class, wherein the output is used to perform an action.