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Creating device and how to create a three-dimensional object recognition for image database

机译:创建设备以及如何为图像数据库创建三维对象识别

摘要

While reducing the memory capacity by performing sift the local feature quantity registered in the three-dimensional object recognition image database, to suppress a decrease in the recognition rate. A plurality of images seen from different viewpoints three-dimensional object is input, the steps, each of which represents a characteristic vector extracting local features of each image, and a group of consisting of feature vectors, each set is next a step of generating a plurality of partial spaces for generating a set representing local features viewed same portion of the object from the perspective of the set of fit, representing the characteristics of each set, and adds the ID of the object in each subspace When a step of registering in the database the image viewed from a certain viewpoint and an object is given as a search query, extracts the feature vectors that represent local features of the search query, to be most similar to the feature vector determining each subspace, performs aggregation processing for the object ID added to each subspace, creating a three-dimensional object recognition image database comprising the steps of obtaining an object that is most similar to the search query.
机译:在通过对在三维物体识别图像数据库中注册的局部特征量进行筛选来减少存储容量的同时,抑制了识别率的降低。输入从不同视点看到的三维物体的多个图像,每个步骤代表提取每个图像局部特征的特征向量,以及一组由特征向量组成的组,每个集合接下来是生成图像的步骤。多个局部空间,用于生成表示局部特征的集合,该局部空间从拟合集合的角度看待对象的同一部分,表示每个集合的特征,并在每个子空间中添加对象的ID。将从某个视点查看的图像数据库化,并以对象作为搜索查询,提取代表搜索查询局部特征的特征向量,最类似于确定每个子空间的特征向量,对对象ID执行汇总处理将其添加到每个子空间,创建三维物体识别图像数据库,该数据库包括获取与t最相似的物体的步骤他搜索查询。

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