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    • 31. 发明专利
    • Image recognition device, control method for the device, and program
    • 图像识别装置,装置的控制方法和程序
    • JP2012238121A
    • 2012-12-06
    • JP2011105656
    • 2011-05-10
    • Canon Incキヤノン株式会社
    • SUZUKI TAKASHITAKAHASHI KIYOTAKAYANO KOTARO
    • G06T7/00G06T1/00
    • G06K9/00281G06K9/00308G06K9/6255
    • PROBLEM TO BE SOLVED: To provide an image recognition device and a control method for the device, which enable accurate recognition even with a small amount of registered data.SOLUTION: An image recognition device for use in recognizing a target article from an image by comparing with dictionary data includes: an acquisition part for acquiring one or more images; a detection part for detecting a target article image from each of the images; a cutout part for cutting one or more local zones from the target article image; a feature amount calculation part for calculating, for each image, a feature amount from each of one or more of the local zones for recognizing a target article; a similarity calculation part for calculating, for each local zone, similarity among respective feature amounts calculated for individual images; and a registration part for registering, for each local zone, one of feature amounts as dictionary data related to the target article if there is a set of feature amounts whose similarity is equal to or more than a threshold.
    • 要解决的问题:提供一种用于该装置的图像识别装置和控制方法,即使使用少量的登记数据也能够进行精确的识别。 解决方案:用于通过与字典数据比较来从图像识别目标物品的图像识别装置包括:用于获取一个或多个图像的获取部分; 用于从每个图像中检测目标物品图像的检测部分; 用于从目标物品图像切割一个或多个局部区域的切口部分; 特征量计算部,用于针对每个图像计算来自用于识别目标物品的一个或多个所述局部区域中的每一个的特征量; 相似度计算部分,用于针对每个局部区域计算针对各个图像计算的各个特征量之间的相似度; 以及注册部,用于如果存在相似度等于或大于阈值的一组特征量,则针对每个本地区域注册特征量之一作为与目标物品相关的字典数据。 版权所有(C)2013,JPO&INPIT
    • 33. 发明专利
    • Hierarchical component based object recognition
    • 基于分层组件的对象识别
    • JP2012212476A
    • 2012-11-01
    • JP2012178273
    • 2012-08-10
    • Mwtec Software Gmbhエムヴイテック・ソフトウェア・ゲーエムベーハー
    • ULRICH MARKUSSTEGER CARSTEN
    • G06T7/00G06K9/62G06K9/64
    • G06K9/468G06K9/6206G06K9/6255
    • PROBLEM TO BE SOLVED: To provide a method for the recognition of objects in an image, where the objects may consist of an arbitrary number of parts that are allowed to move with respect to each other.SOLUTION: In the offline phase, the invention automatically learns the relative movements of the single object parts from a sequence of example images and builds a hierarchical model that incorporates a description of the single object parts, the relations between the parts, and an efficient search strategy. This is done by analyzing the pose variations of the single object parts in the example images. The poses can be obtained by an arbitrary similarity measure for object recognition. In the online phase, the invention uses the hierarchical model to efficiently find the entire object in the search image. During the online phase, only valid instances of the object are found, i.e., the object parts are not searched for in the entire image but only in a restricted portion of parameter space that is defined by the relations between the object parts within the hierarchical model, which facilitates an efficient search and makes a subsequent validation step unnecessary.
    • 要解决的问题:提供一种用于识别图像中的对象的方法,其中对象可以由允许相对于彼此移动的任意数量的部分组成。 解决方案:在离线阶段,本发明自动地从一系列示例图像中学习单个对象部分的相对运动,并构建一个分层模型,其包含单个对象部分的描述,部分之间的关​​系和 一个有效的搜索策略。 这通过分析示例图像中的单个对象部分的姿态变化来完成。 可以通过用于对象识别的任意相似性度量来获得姿态。 在在线阶段,本发明使用层次模型来有效地找到搜索图像中的整个对象。 在在线阶段,只找到对象的有效实例,即,在整个图像中不搜索对象部分,而只在由分层模型中的对象部分之间的关​​系定义的参数空间的限制部分中 ,其有助于有效的搜索并且使得后续的验证步骤不必要。 版权所有(C)2013,JPO&INPIT
    • 36. 发明专利
    • Subject tracking program, subject tracking device, and the camera
    • 空值
    • JP4961965B2
    • 2012-06-27
    • JP2006308940
    • 2006-11-15
    • 株式会社ニコン
    • 啓之 阿部
    • G06T7/20H04N5/232H04N7/18H04N101/00
    • G06K9/6255G06K9/00228G06T7/248G06T2207/10016G06T2207/30201G06T2207/30221G06T2207/30241
    • A computer executes performing template matching upon each frame of an input image with each of a plurality of template images, extracting a plurality of regions whose similarities with each of the template images are the highest from within the input image, classifying the extracted regions into regions that are to be used for specifying a photographic subject position within the input image and another region, on the basis of the mutual distances between the extracted regions within the input image, specifying the photographic subject position, on the basis of the positions of the regions that have been classified as the regions that are to be used for specifying the photographic subject position within the input image, and tracking the movement of the photographic subject over the image consisting of a plurality of frames, by tracking the photographic subject position between frames.
    • 计算机执行对多个模板图像中的每一个对输入图像的每一帧执行模板匹配,提取与输入图像内的每个模板图像的相似度最高的多个区域,将提取的区域分类为区域 用于基于输入图像内的提取区域之间的相互距离来指定输入图像和另一区域内的拍摄对象位置,指定拍摄对象位置,基于区域的位置 被分类为用于指定输入图像内的拍摄对象位置的区域,并且通过跟踪帧之间的拍摄对象位置来跟踪由多个帧组成的图像上的被摄体的移动。