公开(公告)号：US20130039569A1

公开(公告)日：2013-02-14

申请号：US13643284

申请日：2011-04-27

申请人： Takahiro Kashiwagi ,  Takumi Toyama ,  Koichi Kise ,  Yukihito Furuhashi ,  Taiji Mine

发明人： Takahiro Kashiwagi ,  Takumi Toyama ,  Koichi Kise ,  Yukihito Furuhashi ,  Taiji Mine

IPC分类号： G06K9/48 ,  G06K9/00

CPC分类号： G06K9/6247 ,  G06K9/00201 ,  G06K9/4671

摘要： A method of compiling an image database for a three-dimensional object recognition including the steps of: when a plurality of images each showing an object from different viewpoint are inputted, extracting local features from each of the images, and expressing the local features using feature vectors; forming sets of the feature vectors, each set representing a same part of the object from a series of the viewpoints, and generating subspaces, each subspace representing a characteristic of each set; and storing each subspace to the image database with an identifier of the object to perform a recognition process that is realized by the steps of: when at least one image of an object is given as a query, extracting query feature vectors; determining the subspace most similar to each query feature vector; and executing a counting process to the identifiers to retrieve an object most similar to the query.

摘要翻译： 一种编辑用于三维物体识别的图像数据库的方法，包括以下步骤：当输入各自显示来自不同视点的对象的多个图像时，从每个图像提取局部特征，并使用特征来表达局部特征 向量 形成特征向量的集合，每个集合从一系列视点表示对象的相同部分，并且生成子空间，每个子空间表示每个集合的特征; 并且利用所述对象的标识符将每个子空间存储到所述图像数据库，以执行通过以下步骤实现的识别处理：当给出对象的至少一个图像作为查询时，提取查询特征向量; 确定与每个查询特征向量最相似的子空间; 以及对所述标识符执行计数处理以检索与查询最相似的对象。

公开(公告)号：US20120051628A1

公开(公告)日：2012-03-01

申请号：US13254234

申请日：2010-03-03

申请人： Kazuto Noguchi ,  Koichi Kise ,  Masakazu Iwamura ,  Yukihito Furuhashi ,  Taiji Mine

发明人： Kazuto Noguchi ,  Koichi Kise ,  Masakazu Iwamura ,  Yukihito Furuhashi ,  Taiji Mine

IPC分类号： G06K9/62

CPC分类号： G06K9/6211 ,  G06F17/30259

摘要： An image retrieval method comprising: a step of extracting at least one query feature vector from a query image on which a subject of the image retrieval is captured, the query feature vector representing a local feature of the query image; a step of accessing an image data base in which a plurality of reference images are stored previously, each reference image being stored in conjunction with learning images generated therefrom and reference feature vectors representing local features of the reference image and the learning images; a comparing step of comparing the query feature vector with the reference feature vectors stored in conjunction with each reference image using an approximate nearest neighbor search to find a reference feature vector approximately nearest to the query feature vector; and a selecting step of selecting a reference image with which the found reference feature vector is stored in conjunction from the reference images as a retrieval result wherein: the learning image is generated by adding a defocus and/or a motion-blur effect likely to occur on capturing the subject to each reference image, the reference feature vectors are extracted from each reference image and the learning image corresponding to the reference image respectively using the scale-space approach, the query feature vector is extracted from the query image using the scale-space approach, and each of the above steps is executed by a computer.

摘要翻译： 一种图像检索方法，包括：从其中捕获图像检索对象的查询图像中提取至少一个查询特征向量的步骤，所述查询特征向量表示查询图像的本地特征; 存储先前存储多个参考图像的图像数据库的步骤，每个参考图像与从其生成的学习图像一起存储，参考特征向量表示参考图像和学习图像的局部特征; 比较步骤，使用近似最近邻搜索将查询特征向量与结合每个参考图像存储的参考特征向量进行比较，以找到近似于查询特征向量的参考特征向量; 以及选择步骤，从参考图像中选择结合存储所找到的参考特征向量的参考图像作为检索结果，其中：通过添加散焦和/或可能发生的运动模糊效果来生成学习图像 在对每个参考图像拍摄对象时，分别使用缩放空间方法从每个参考图像和对应于参考图像的学习图像中提取参考特征向量，使用缩放空间方法从查询图像中提取查​​询特征向量， 空间方法，并且上述步骤中的每一个由计算机执行。

公开(公告)号：US20110317923A1

公开(公告)日：2011-12-29

申请号：US13254347

申请日：2010-03-03

申请人： Takayuki Hondo ,  Koichi Kise ,  Yukihito Furuhashi ,  Taiji Mine

发明人： Takayuki Hondo ,  Koichi Kise ,  Yukihito Furuhashi ,  Taiji Mine

IPC分类号： G06K9/46

CPC分类号： G06F17/30247 ,  G06F17/30047 ,  G06F17/30271 ,  G06F17/30277 ,  G06F17/30699

摘要： A method for creating an image database comprising an extraction step of extracting reference feature vectors from a reference image which should be compared with a retrieval query image for object recognition, the reference feature vectors corresponding to local features at different positions of the reference image and representing the position and characteristics of each of the local features as a vector position, vector length, and a vector direction, a clustering step of creating a plurality of clusters consisting of different reference feature vectors in such a manner that each reference vector belongs to any of the plurality of clusters, a selection step of selecting the representative vector of the clusters from among the reference feature vectors of each of the clusters, and a step of associating the representative vector with the reference image and registering the representative vector associated therewith in the image database for the object recognition, wherein, in the clustering step, each of the clusters is created in such a manner that reference feature vectors at a near vector position belong to the same cluster, and in the selection step, reference feature vectors with long vector length are given priority to select the representative vector, and wherein the retrieval query image and the reference image are compared with each other by generating at least one query feature vector from the retrieval query image, and applying local search between the query feature vector and the representative vector, each of the steps being executed by computers.

摘要翻译： 一种用于创建图像数据库的方法，包括：提取步骤，用于从参考图像中提取参考图像，所述参考图像应该与用于对象识别的检索查询图像进行比较，所述参考特征向量对应于参考图像的不同位置处的局部特征， 每个局部特征的位置和特征作为向量位置，向量长度和向量方向;聚类步骤，以如下方式创建由不同参考特征向量组成的多个聚类：每个参考向量属于 所述多个群集，选择步骤，从所述群集的每个参考特征向量中选择所述群的代表向量，以及将所述代表向量与所述参考图像相关联并将与其相关联的代表向量登记在所述图像中的步骤 数据库用于对象识别，其中，在线索中 以这样的方式创建每个聚类，使得在近矢量位置处的参考特征向量属于相同的聚类，并且在选择步骤中，赋予长向量长度的参考特征向量优先选择代表向量， 并且其中通过从检索查询图像生成至少一个查询特征向量，并且在查询特征向量与代表向量之间应用本地搜索，将检索查询图像和参考图像彼此进行比较，每个步骤由 电脑。

公开(公告)号：US08971610B2

公开(公告)日：2015-03-03

申请号：US13643284

申请日：2011-04-27

申请人： Takahiro Kashiwagi ,  Takumi Toyama ,  Koichi Kise ,  Yukihito Furuhashi ,  Taiji Mine

发明人： Takahiro Kashiwagi ,  Takumi Toyama ,  Koichi Kise ,  Yukihito Furuhashi ,  Taiji Mine

IPC分类号： G06K9/46 ,  G06K9/62

CPC分类号： G06K9/6247 ,  G06K9/00201 ,  G06K9/4671

摘要： A method of compiling an image database for a three-dimensional object recognition including the steps of: when a plurality of images each showing an object from different viewpoint are inputted, extracting local features from each of the images, and expressing the local features using feature vectors; forming sets of the feature vectors, each set representing a same part of the object from a series of the viewpoints, and generating subspaces, each subspace representing a characteristic of each set; and storing each subspace to the image database with an identifier of the object to perform a recognition process that is realized by the steps of: when at least one image of an object is given as a query, extracting query feature vectors; determining the subspace most similar to each query feature vector; and executing a counting process to the identifiers to retrieve an object most similar to the query.

摘要翻译： 一种编辑用于三维物体识别的图像数据库的方法，包括以下步骤：当输入每个显示来自不同视点的对象的多个图像时，从每个图像提取局部特征，并使用特征来表达局部特征 向量 形成特征向量的集合，每个集合从一系列视点表示对象的相同部分，并且生成子空间，每个子空间表示每个集合的特征; 并且利用所述对象的标识符将每个子空间存储到所述图像数据库，以执行通过以下步骤实现的识别处理：当给出对象的至少一个图像作为查询时，提取查询特征向量; 确定与每个查询特征向量最相似的子空间; 以及对所述标识符执行计数处理以检索与查询最相似的对象。

公开(公告)号：US08818103B2

公开(公告)日：2014-08-26

申请号：US13254234

申请日：2010-03-03

申请人： Kazuto Noguchi ,  Koichi Kise ,  Masakazu Iwamura ,  Yukihito Furuhashi ,  Taiji Mine

发明人： Kazuto Noguchi ,  Koichi Kise ,  Masakazu Iwamura ,  Yukihito Furuhashi ,  Taiji Mine

IPC分类号： G06K9/46 ,  G06K9/62 ,  G06F7/00 ,  G06F12/00 ,  G06F17/30

CPC分类号： G06K9/6211 ,  G06F17/30259

摘要： An image retrieval method comprising: a step of extracting at least one query feature vector from a query image on which a subject of the image retrieval is captured, the query feature vector representing a local feature of the query image; a step of accessing an image data base in which a plurality of reference images are stored previously, each reference image being stored in conjunction with learning images generated therefrom and reference feature vectors representing local features of the reference image and the learning images; a comparing step of comparing the query feature vector with the reference feature vectors stored in conjunction with each reference image using an approximate nearest neighbor search to find a reference feature vector approximately nearest to the query feature vector; and a selecting step of selecting a reference image with which the found reference feature vector is stored in conjunction from the reference images as a retrieval result wherein: the learning image is generated by adding a defocus and/or a motion-blur effect likely to occur on capturing the subject to each reference image, the reference feature vectors are extracted from each reference image and the learning image corresponding to the reference image respectively using the scale-space approach, the query feature vector is extracted from the query image using the scale-space approach, and each of the above steps is executed by a computer.

摘要翻译： 一种图像检索方法，包括：从其中捕获图像检索对象的查询图像中提取至少一个查询特征向量的步骤，所述查询特征向量表示查询图像的本地特征; 存储先前存储多个参考图像的图像数据库的步骤，每个参考图像与从其生成的学习图像一起存储，参考特征向量表示参考图像和学习图像的局部特征; 比较步骤，使用近似最近邻搜索将查询特征向量与结合每个参考图像存储的参考特征向量进行比较，以找到近似于查询特征向量的参考特征向量; 以及选择步骤，从参考图像中选择结合存储所找到的参考特征向量的参考图像作为检索结果，其中：通过添加散焦和/或可能发生的运动模糊效果来生成学习图像 在对每个参考图像拍摄对象时，分别使用缩放空间方法从每个参考图像和对应于参考图像的学习图像中提取参考特征向量，使用缩放空间方法从查询图像中提取查​​询特征向量， 空间方法，并且上述步骤中的每一个由计算机执行。

公开(公告)号：US08649614B2

公开(公告)日：2014-02-11

申请号：US13254347

申请日：2010-03-03

申请人： Takayuki Hondo ,  Koichi Kise ,  Yukihito Furuhashi ,  Taiji Mine

发明人： Takayuki Hondo ,  Koichi Kise ,  Yukihito Furuhashi ,  Taiji Mine

IPC分类号： G06K9/62 ,  G06K9/46 ,  G06K9/54

CPC分类号： G06F17/30247 ,  G06F17/30047 ,  G06F17/30271 ,  G06F17/30277 ,  G06F17/30699

摘要： A method for creating an image database comprising an extraction step of extracting reference feature vectors from a reference image which should be compared with a retrieval query image for object recognition, the reference feature vectors corresponding to local features at different positions of the reference image and representing the position and characteristics of each of the local features as a vector position, vector length, and a vector direction, a clustering step of creating a plurality of clusters consisting of different reference feature vectors in such a manner that each reference vector belongs to any of the plurality of clusters, a selection step of selecting the representative vector of the clusters from among the reference feature vectors of each of the clusters, and a step of associating the representative vector with the reference image and registering the representative vector associated therewith in the image database for the object recognition, wherein, in the clustering step, each of the clusters is created in such a manner that reference feature vectors at a near vector position belong to the same cluster, and in the selection step, reference feature vectors with long vector length are given priority to select the representative vector, and wherein the retrieval query image and the reference image are compared with each other by generating at least one query feature vector from the retrieval query image, and applying local search between the query feature vector and the representative vector, each of the steps being executed by computers.

摘要翻译： 一种用于创建图像数据库的方法，包括：提取步骤，用于从参考图像中提取参考图像，所述参考图像应该与用于对象识别的检索查询图像进行比较，所述参考特征向量对应于参考图像的不同位置处的局部特征， 每个局部特征的位置和特征作为向量位置，向量长度和向量方向;聚类步骤，以如下方式创建由不同参考特征向量组成的多个聚类：每个参考向量属于 所述多个群集，选择步骤，从所述群集的每个参考特征向量中选择所述群的代表向量，以及将所述代表向量与所述参考图像相关联并将与其相关联的代表向量登记在所述图像中的步骤 数据库用于对象识别，其中，在线索中 以这样的方式创建每个聚类，使得在近矢量位置处的参考特征向量属于相同的聚类，并且在选择步骤中，赋予长向量长度的参考特征向量优先选择代表向量， 并且其中通过从检索查询图像生成至少一个查询特征向量，并且在查询特征向量与代表向量之间应用本地搜索，将检索查询图像和参考图像彼此进行比较，每个步骤由 电脑。