Introductory_Techniques_for_3-D_Computer_Vision国外教材英文原版电子书 computer vision techniques 3D 计算机图像

PARSING TECHNIQUES ，轮子哥推荐的编译原理书籍，英文版本，带书签，本来想设置一个0积分下载，可惜没有这个选项。。。很棒的一本书，仅供交流，切勿商用！

irt学习高等教材，外国指定教科书。Item_Response_Theory_Parameter_Estimation_Techniques_2ed (1).pdf

这是韩国学生的一篇硕士论文 业内评价很高。论文研究了低成本IMU的检校、INS的初始对准方法、GPS/INS组合解算模型的公式推导等。对做惯导和组合导航的算法设计很有帮助

WILEY-The_Art_Of_Software_Architecture_Design_Methods_And_Techniques

Template Matching Techniques in Computer Vision. Theory and Practice .pdf

Data Mining Concepts and Techniques 3rd Edition(数据挖掘概念与技术第三版)

Stentiford 算法可以表述如下： 1. 找到图像中的像素与模板 T1 中的像素匹配的像素位置 (i, j)。 使用此模板，从左到右和从上到下移动图像顶部的所有像素。 2. 如果中心像素不是端点，并且连接数 = 1，则将此像素标记为删除。 端点像素：如果一个像素仅连接到另一个像素，则该像素被视为端点。 也就是说，如果一个黑色像素在八个可能的邻居中只有一个黑色邻居。 3. 对匹配 T1 的所有像素位置重复步骤 1 和 2。 4. 对其余模板重复步骤 1-3：T2、T3 和 T4。 T2 将匹配对象左侧的像素，从下到上和从左到右移动。 T3 将沿图像底部选择像素并从右到左和从下到上移动。 T4 定位对象右侧的像素，从上到下，从右到左移动。 5. 将标记为删除的像素设置为白色。

part 2 From the Back Cover An applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging, this book covers a wide range of fundamental problems encountered within computer vision and provides detailed algorithmic and theoretical solutions for each. Each chapter concentrates on a specific problem and solves it by building on previous results. FEATURES: * Provides a guide to well-tested theory and algorithms including solutions of problems encountered in modern computer vision. * Contains many practical hints highlighted in the book. * Develops two parallel tracks in the presentation, showing how fundamental problems are solved using both intensity and range images, the most popular types of images used today. * Each chapter contains notes on the literature, review questions, numerical exercises, and projects. * Provides an Internet list for accessing links to test images, demos, archives and additional learning material.

totally 2 parts, this is part 1