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    • 32. 发明申请
    • SEMICONDUCTOR STORAGE DEVICE AND CONTROL METHOD THEREOF
    • 半导体存储器件及其控制方法
    • US20110191528A1
    • 2011-08-04
    • US13016529
    • 2011-01-28
    • Hirotaka Suzuki
    • Hirotaka Suzuki
    • G06F12/02
    • G06F12/02
    • According to one embodiment, a semiconductor storage device comprises a main memory, a request issue module, a delay module, and an access module. The main memory is configured to store candidate information for determining a compaction candidate for a nonvolatile memory. The request issue module is configured to issue an access request for the candidate information in the main memory. The delay module is configured to delay the access request issued from the request issue module. The access module is configured to access the candidate information in the main memory based on an access request delayed by the delay module.
    • 根据一个实施例,半导体存储装置包括主存储器,请求发布模块,延迟模块和访问模块。 主存储器被配置为存储用于确定用于非易失性存储器的压缩候选的候选信息。 请求发布模块被配置为对主存储器中的候选信息发出访问请求。 延迟模块被配置为延迟从请求发布模块发出的访问请求。 访问模块被配置为基于延迟模块延迟的访问请求来访问主存储器中的候选信息。
    • 39. 发明申请
    • Information processing apparatus and method, and program
    • 信息处理装置和方法,程序
    • US20060153457A1
    • 2006-07-13
    • US11324562
    • 2006-01-04
    • Akira NakamuraHirotaka SuzukiTakayuki Yoshigahara
    • Akira NakamuraHirotaka SuzukiTakayuki Yoshigahara
    • G06K9/46G06F17/30
    • G06F17/30247G06K9/6271G06K9/6276
    • The present invention is intended to provide quick search of a plurality if any of sets subject to search for desired members. A common representative point setting block sets a common representative point common to sets on the basis of a feature vector stored in a vector information storage block and stores the set point into a common representative point information storage block. A neighborhood table group creation block creates a neighborhood table for each set on the basis of the vector information and common representative point information and stores the created table in a neighborhood table group storage block. A nearest neighborhood vector group search block, upon acquisition of an input vector, searches each set for a nearest neighborhood vector of the input vector on the basis of the vector information, the common representative point information, and the neighborhood table group and outputs the retrieved nearest neighborhood vector as a comparison result. The present invention is applicable to image processing apparatuses.
    • 本发明旨在提供快速搜索多个,如果有任何一组可以搜索期望的成员。 公共代表点设定块基于存储在向量信息存储块中的特征向量来设定公共的公共代表点,并将设定点存储到公共代表点信息存储块中。 邻域表组创建块基于向量信息和公共代表点信息为每一组创建邻域表,并将创建的表存储在邻域表组存储块中。 最近的邻域向量组搜索块,在获取输入向量后,根据向量信息,公共代表点信息和邻域表组,对输入向量的最近邻域向量进行搜索,并输出检索到的 最近邻域向量作为比较结果。 本发明可应用于图像处理装置。
    • 40. 发明申请
    • Image recognition device and method, and robot device
    • 图像识别装置及方法及机器人装置
    • US20050213818A1
    • 2005-09-29
    • US10517615
    • 2004-04-22
    • Hirotaka SuzukiKohtaro SabeMasahiro Fujita
    • Hirotaka SuzukiKohtaro SabeMasahiro Fujita
    • B25J5/00B25J13/08B25J19/04G06K9/46G06K9/64G06T7/00G06T7/60G06K9/00
    • G06K9/6212G06K9/4609G06K9/6211G06T7/73
    • In an image recognition apparatus (1), feature point extraction sections (10a) and (10b) extract feature points from a model image and an object image. Feature quantity retention sections (11a) and (11b) extract a feature quantity for each of the feature points and retain them along with positional information of the feature points. A feature quantity comparison section (12) compares the feature quantities with each other to calculate the similarity or the dissimilarity and generates a candidate-associated feature point pair having a high possibility of correspondence. A model attitude estimation section (13) repeats an operation of projecting an affine transformation parameter determined by three pairs randomly selected from the candidate-associated feature point pair group onto a parameter space. The model attitude estimation section (13) assumes each member in a cluster having the largest number of members formed in the parameter space to be an inlier. The model attitude estimation section (13) finds the affine transformation parameter according to the least squares estimation using the inlier and outputs a model attitude determined by this affine transformation parameter.
    • 在图像识别装置(1)中,特征点提取部(10a)和(10b)从模型图像和对象图像中提取特征点。 特征量保留部分(11a)和(11b)提取每个特征点的特征量并将它们与特征点的位置信息一起保留。 特征量比较部分(12)将特征量彼此进行比较,以计算相似度或相似性,并且生成具有高对应可能性的候选关联特征点对。 模型姿态估计部(13)重复将从候选关联特征点对组中随机选择的三对决定的仿射变换参数投影到参数空间的动作。 模型姿态估计部(13)假设具有在参数空间中形成的最大数量的成员的簇中的每个成员是一个较早的。 模型姿态估计部(13)根据使用该误差的最小二乘估计求出仿射变换参数,并输出由该仿射变换参数确定的模型姿态。