资源列表
BestPracticesforCRM
- This documents is about the results of the best practices for CRM.
Gartner_CRM
- This document is about 10 steps to achieve ROI by Gartner CRM
Super_Haptic_technology
- Haptic technology, or haptics, is a tactile feedback technology that takes advantage of a user s sense of touch by applying forces, vibration.
Humidity
- Relative humidity sensor development info
ocr
- These papers present the theorical part of ocr.-These papers present the theorical part of ocr.
BGAfengzhuangdaquan
- 电子元器件BGA类封装大全，为你减少了开发产品的时间，欢迎下载交流。-BGA type electronic component package Daquan, you reduce the development time of products, please download the exchange.
pSpace
- 力控实时历史数据库pSpace在数字气田信息提供的应用-Real-time force control in the digital field pSpace historical database provided by the application of information
Tutorial_JSTL_Jakarta_Struts
- Tutorial JSTL y Jakarta Struts
sift2
- 提出了一种基于线特征和SIFT点特征的多源遥感影像配准方法。该方法首先匹配待配准影像和参 考影像中的线特征,利用匹配直线构建虚拟角点 其次,针对传统SIFT算法匹配多源遥感影像特征点存在的 不足,采用线特征约束点特征的方法进行SIFT同名点对的提取 最后结合虚拟角点对及SIFT同名点对构建三角网进行小面元微分纠正。 -A line-based features and SIFT features multi-point sources of remote sensing image
SIFT3
- :对传统SIFT算法从特征点提取时间和匹配精度上进行了优化,基于优化算法提取的特征点对构建 三角网进行小面元微分纠正配准。试验结果表明,该方法是一种有效的遥感影像自动配准方法。 -: SIFT algorithm from the traditional feature extraction time and matching accuracy, and the optimization, optimization algorithm based on the extracted fea
sift4
- :提出一种基于尺度不变特征变换(SIFT)特征匹配的目标跟踪方法.首先使用SIFT提取目标特征,构 建目标特征库,然后使用基于K维树的特征匹配算法,对实时序列图像提取的SIFT特征与特征库中目标进行精确匹配 -: Based on Scale Invariant Feature Transform (SIFT) feature matching target tracking. The first to use SIFT target feature extraction, featur
sift5
- :研究了一种多目标识别算法,该算法用SUSAN角点形成SIFT特征点,采用阶梯图像金字塔结构实现尺度不变,为所有匹配点建立统一的超定线性方程组并对该方程组系数矩阵进行简 化使其维数降低一半,得到增广矩阵.对增广矩阵进行列变换,依据坐标转换的特性可从中提取多目标的稳定正常点,实现了快速分离多目标的匹配点. -: Study of a multi-target recognition algorithm using SUSAN corner formed SIFT feature point