This a set of simple implementations for aligning scans of range-bearing laser data. They are written as demonstrations of basic algorithm implementations and are not designed for real-world (ie, efficient) application. The source code consists of Ma

运用H15；I色彩窄间对印章图像颜色特征提取等一系列预处理，研究了多种识 别方法后发现基于纹理特征的印鉴识别方法不但速度快，而且识别率也较高，并且方法简便。通 过将极坐标和傅垦叶变换结合，计算m印签图像纹理的频谱度量，来完成印鉴的特征提取，运用支 持向量机分类器对印鉴进行识别，实验证明，方法具有良好的旋转不变纹理分析性能，提高了识别 率。-It WaS found a fast，simple and a higher seal image(HSI)identification

该论文在知网上付费下载，为2011年9月最新的关于Bag of Wo rds 算法的框架和基本内容，是学习bag of words算法的很好的入门参考。Bag of Words 算法是一种有效的基于语义特征提取与表达的物体识别算法, 算法充分学习文本检索算法的优点, 将图片整理为一系列视觉词汇的集合, 提取物体的语义特征, 实现感兴趣物体的有效检测与识别。-Bag of Word algo rithm is an efficient object r eco gnition alg or ith

已知有两类数据,二者的概率已知,根据所得结果,判断属于哪个类别，并画出数据分类相应的结果图，画出其在W上的投影。-There are known two types of data, the probability of both the known, according to the results to determine which category belongs, and the corresponding results shown in Fig data classificatio