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This method represents the virtual objects in Euclidean space instead of in affine space, which is consistent with the popular graphics rendering tools such as OpenGL and is more common in practice. A new classification based local and global tracking strategy to match features between the reference image and the currently frame directly is presented, which enables the augmented reality system working effectively even under large changes of viewing angles. A novel affine coordinate system definition method based on a collection of feature points is also proposed, which makes the tracking method effective even when not all the reference points are detected during the whole process, as long as there are at least four pairs of reference points correspondences.

该方法以仿射变换为桥梁来建立欧氏空间下的摄像机坐标系与世界坐标系之间的变换关系,它与OpenGL等当前流行的图形渲染工具一致,具有更强的通用性;采用基于分类的自然特征匹配策略,能够在视角和视点发生大幅度变化情况下依然正常工作;提出基于特征点集合的仿射坐标系定义方法,使增强现实系统在最小配置下只需4点追踪成功即可完成注册,比需要6点的透视投影方法具有更好的健壮性和精确性。

This passage analyzes the advantage and disadvantage of the Boolean Model and the Vector Space Model in information retrieval model: the Boolean Model is simple to realize, but its classification ability is limited and the logic expression formula is strict.

本文分析了信息检索中传统文档特征表示的布尔逻辑模型和向量空间模型的优缺点:布尔逻辑模型虽机制简单、容易实现,但是它的分类能力有限且逻辑表达式过于严格;向量空间模型将文档映射到连续域向量空间,为进一步的权重计算等多元处理提供了基础,但容易忽略文档集合中各个文档的一些共有特征。

The concepts and characterization of fuzzy and rough sets are presented in this paper.

介绍了模糊集合及粗糙集合的概念和特征。

Because of the presence of the difference of the gray value and the distortion between the object image and the reference image, traditional matching method will be degraded. We need more useful characters. Eigenspace approach is a promising candidate for an appearance-based object representation.

文中提出基于奇异值分解的跟踪算法,算法首先建立模板图像训练集合,利用奇异值分解方法,张成模板图像特征空间,然后求出模板图像在特征空间里的投影值,代替传统算法中灰度对两幅待匹配图像进行的全局搜索定位。

Some computation models are established, including models of factor set, comment set and single factor matrix.

该方法利用把表征非均质特征的9个参数作为因素建立起模糊数学模型,主要包括因素集合、结语集合、单因素矩阵等模型。

The Hausdorff distance was used to measure the similarity of sets, while the tolerance "box" was as a set.

将各故障在特征空间中的容错区间作为集合,用Hausdorff距离测定集合间的相似程度来决定类别。

In section four, we consider a normal π-subgroup in π-separable group, a normal set and a complex value class function space defined on G, using the B_π-character theory and character-triple isomorphism, and find a classical basis of this space such that it behaves as the set of irreducible Brauer characters, and satisfies the Fong-Swan property.

在第四节中我们考虑了π-可分群G中的一个正规π-子群,以及定义在G上的一个正规集和它上面的一个复值类函数空间,利用B_π-特征标理论和特征三元组同构,我们找到了这个空间的一个经典基,使得这个基具有类似于不可约Brauer特征标的集合的性质,并且满足Fong-Swan性质。

Segmentation and extraction of the target feature points from the unregistered, noisy data set of human body scanning and measuring are discussed. We have fitted the noise scanned data line with KS principal curve, which is based on the K-means theory. The crossing zero of curvature was used to segment and estimate the position of target feature points. And optimization scheme named variable fuzzy partition is also presented to improve the searching for local feature area.

使用基于K-means思想的KS主曲线算法,对国家人体尺寸测量工作中产生的带噪声扫描线数据集合进行非线性拟合,并依据曲率分布特征提出对目标特征点空间位置进行模糊分区估计的方法;同时提出了变量化模糊分区的优化策略,大幅度地提高了局部特征区域搜索的效率。

Some statistical properties of product assembly are obtained on the basis of industrial investigation of assembly procedure and analysis of assembly operations of typical products; concept of fuzzy quotient set is introduced to the study of assembly sequence planning and a theoretical frame and algorithm for assembly sequence planning based on product fuzzy quotient set is presented; theory and method of fuzzy automata and fuzzy decision are used in the investigation of sensor based assembly sequence planning and a theoretical frame and algorithm for assembly sequence planning based on information sensing of assembly process are presented; an assembly model for product is put forward; study of product disassemblability is carried on.

论文通过对产品装配工艺的工厂调研及典型产品的装配作业分析得到了有关产品装配的一些统计特征;将模糊商集合的概念引入装配顺序规划的研究中,提出了基于产品模糊商集合的装配顺序规划的理论框架和算法;将模糊自动机及模糊决策的理论和方法应用到基于感知的装配顺序规划的研究中,提出了基于装配过程信息感知的装配顺序规划的理论框架和算法;提出了一种产品装配模型;进行了产品可拆卸性的研究。

In this algorithm, phase correlation was used to estimate the overlapping area, in which Harris corner detector was used to extract feature points, and then a pseudo matching set was obtained. These pseudo matches were divided into inliers and outliers by using robust RANSAC algorithm.

此算法首先使用相位相关法估计平移参数并初步确定重叠区域,在重叠区域采用Harris角点检测算法进行特征点提取得到初步的伪匹配集合,并运用稳健的RANSAC算法将伪匹配点集合划分为内点和外点。

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