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The clustering of appearance of the object under the illumination condition for changing

机译:改变照明条件下物体外观的聚类

摘要

[0060] removing gathering of the picture which does not have the label from midst of the collection of the object which under the image pickup conditions for differing is acquired, the element it disassembles that gathering mutually corresponds to the individual object in subclass, the clustering is necessary. The illumination condition for changing (100a) gathering of the picture of the 3D object which is acquired with under (101c) as for appearance based method in order the clustering to do, it is possible to be based on the concept of the illumination gimlet. Problem of the clustering although the convex versatile gimlet (301c) you find regarding the image space of high dimension is equal. Probability of the picture of the opposite which belongs to the versatile gimlet which in order to judge the gimlet structure which hides in the graphics data efficiently, it is possible, becomes the same cause to use the concept similarity of the gimlet, is measured. As for other algorithm, it is possible to be based on the similarity measurement which is made on the basis of the picture slope comparison which processes direct image slope with the size of picture slope and comparing direction.
机译:[0060]从在不同的图像拾取条件下获取的对象的集合中去除不具有标签的图片的聚集,其分解的集合相互对应于子类中的单个对象的元素,聚类有必要的。为了基于聚类进行的基于外观的方法,用于改变(100a)在(101c)下获取的3D对象的图像的聚集的照明条件,可以基于照明小环的概念。尽管您发现的关于高维图像空间的凸面通用小环(301c)相等,但仍存在聚类问题。为了有效地判断隐藏在图形数据中的小支架结构,可以判定属于通用小支架的对面图片的概率,成为使用小支架的概念相似性的相同原因。对于其他算法,可以基于基于图像斜率比较而进行的相似性测量,该相似度测量以图像斜率的大小和比较方向来处理直接图像斜率。

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