基于SIFT特征点的图像匹配技术研究

图像配准是遥感、医学、计算机视觉等很多领域中的一个基本问题。针对特征点的匹配,该文首先采用LTS Haus-dorff距离进行特征点的初匹配,然后采用基于Sampson距离的随机抽样一致性算法去除伪匹配的特征点对。实验证明,该方法可以实现图像的精确配准。     

High Resolution Tracking of Non-Rigid Motion of Densely Sampled 3D Data Using Harmonic Maps

We present a novel automatic method for high resolution, non-rigid dense 3D point tracking. High quality dense point clouds of non-rigid geometry moving at video speeds are acquired using a phase-shifting structured light ranging technique. To use such data for the temporal study of subtle motions such as those seen in facial expressions, an efficient non-rigid 3D motion tracking algorithm is needed to establish inter-frame correspondences. The novelty of this paper is the development of an algorithmic framework for 3D tracking that unifies tracking of intensity and geometric features, using harmonic maps with added feature correspondence constraints. While the previous uses of harmonic maps provided only global alignment, the proposed introduction of interior feature constraints allows to track non-rigid deformations accurately as well. The harmonic map between two topological disks is a diffeomorphism with minimal stretching energy and bounded angle distortion. The map is stable, insensitive to resolution changes and is robust to noise. Due to the strong implicit and explicit smoothness constraints imposed by the algorithm and the high-resolution data, the resulting registration/deformation field is smooth, continuous and gives dense one-to-one inter-frame correspondences. Our method is validated through a series of experiments demonstrating its accuracy and efficiency.     

基于继承PSO算法的动态脑磁共振图像配准

提出了一种用于动态图像配准的混合角点继承PSO算法。该方法采用混合角点检测算子来提取角点,并将继承最优种群的思想引入到PSO优化算法中,即对当前图像配准得到的最优种群进行动态继承与变化后,再用于指导后续图像的配准。实验表明：所提出的算法不仅克服了传统的随机重启方式的脑磁共振图像配准算法中随机设定参数导致配准速度慢的问题,而且提高了图像的配准精度和稳定性。     

A new Image Registration technique with free boundary constraints: application to mammography

In this paper, a new image-matching mathematical model is presented with its application to mammogram registration. In a variational framework, an energy minimization problem is formulated and a multigrid resolution algorithm is designed. The model focuses on the matching of regions of interest. It also combines several constraints which are both intensity- and segmentation-based. A new feature of our model is combining region matching and segmentation by formulation of the energy minimization problem with free boundary conditions. Moreover, the energy has a new registration constraint. The performances of the new model and an equivalent model with fixed boundary conditions are compared on simulated mammogram pairs. It is shown that the model with free boundary is more robust to initialization inaccuracies than the one with fixed boundary conditions. Both models are applied to several real bilateral mammogram pairs. The model ability to compensate significantly for some normal differences between mammograms is illustrated. Results suggest that the new model could enable some improvements of mammogram comparisons and tumor detection system performances.     

基于复形法配准工业产品CT切片模型和CAD模型

在对工业产品进行体积CT扫描时．会存在定住偏差问题，所以工业产品CT切片模型与其CAD模型之间的配准是必不可少的。首先从CT切片模型的表面选取n个点，再把这n个点到CAD模型的距离平方和作为目标函数，通过复形法搜索目标函数极小值，就可求出空间变换的位置匹配参数和角度匹配参数。仿真结果表明．利用复形法可得到满意的结果。     

简单城市:现象方法和空间比兴一个西部城镇整体重建中的方法研究

从对城市学科技术体系的质疑开始, 分析技术理性的对象性城市与日常城市的本质差异。从现象直观上明辨城市为关于社会空间的界定、分配和组织的场所体系,沿着地方性、城市生活和与空间现象的义理关系,以丰都规划为例,对其空间现象分为经营、演化和运行三个基本方面进行梳理。总结出空间比兴的现象方法和简单城市的营城理念。     

基于.NET技术的企业国有资产产权登记系统的设计与实现

.NET 技术是一种全新的功能强大的开发技术,具有很好的灵活性、稳定性、可扩展性、安全性、可管理性等优点.介绍了.NET Framework基础架构的组成和特点,并从实际应用出发,介绍如何应用.NET的WEB技术,设计并实现了一个企业国有资产产权登记系统.该系统已在铁道部投产使用,得到较好的经济效益.     

一种结合最优相干运算的极化干涉SAR相干配准方法

针对丰富植被地区散射中心高度差去相关的问题,提出了一种结合最优相干运算的Pol-In-SAR相干配准方法,讨论了Pol-InSAR复图像配准过程中需要考虑的几个关键问题,并以天山地区SIR-C/SLC复图像的配准结果证明了方法的有效性。     

面向cnXML的分布式注册中心群的体系结构与控制流程研究

电子商务标准是企业实现B-B电子商务的平台,它规定了参与电子商务过程的个体应遵循的事务处理、数据交换的格式和技术规范,其中,注册中心是电子商务标准中的核心部件。而随着WebService技术在电子商务中的应用,分布式注册机制以及分布注册中心群的管理成为电子商务标准实施中的热点问题。文章面向电子商务标准cnXML,提出了分布式的注册中心群的体系结构,设计了分布式注册中心群的控制流程。