head pose estimation

BCH(31,21)编码 译码源程序。

在分形几何里面，非常重要的一部分内容就是分形演化算法。这个模块提供的是用DLA模型模拟植物生长的算法。-Fractal geometry in the inside, a very important part of the content is the evolutionary algorithm fractal. The module is provided by DLA model simulation of plant growth algorithms.

通过基于锁的并发控制系统的模拟实现，掌握两段加锁协议和简单并发控制系统的构建；理解事务并发访问造成的不可串行化和如何保证可串行化的技术，使用java语言模拟实现数据库的两段锁协议的实现过程

工程计算中经常用到的数值vc算法，对于进行数值模拟的网友很有用-engineering calculation frequently used vc numerical algorithm for the numerical simulation of netizens useful

压缩感知算法效果对比（内含完整代码、包括OMP、CoSaMPl以及SP算法的对比，代码简单易懂） 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。

This algorithm was developed by Professor Ronald L. Rivest of MIT and can be found presented in several languages. What I provide to you here is a C++ derivative of the original C implementation of Professor Rivets. The library code itself is platform-independant and has been tested in Redhat Linux. I ve included the sample code and makefile that I used for the Linux test. The demo, however, was written with Visual C++ 6 on a Windows 2000 platform.-This algorithm was developed by Professor Ronald L. Rivest of MIT and can be found presented in several languages. What I provide to you here is a C derivative of the original C implementation of Professor Rivets. The library code itself is platform-independant and has been tested in Redhat Linux. I ve included the sample code and makefile that I used for the Linux test. The demo, however, was written with Visual C 6 on a Windows 2,000 platform.

主要完成了在虹膜识别中的虹膜定位功能，采用了动态轮廓模型（ACTIVE CONTOUR MODEL）-一个学生的毕业设计，支持开源-Mainly completed in the iris recognition function of the iris location, using a dynamic contour model (ACTIVE CONTOUR MODEL)- a student

魔幻方块！输入魔方的阶数n（n为奇数）后，使得魔方的行、列和对角线的值都相等-magic squares! Cube importation of order n (n is odd), the Cube makes rows and columns and diagonal values are equal

资源描述(1)针对校园环境范围大、结构简单的特点,结合RFID传感器信息传递 功能,提出一种大范围拓扑环境学习与建模新方法。根据校园环境上下文信息 需求,设计RFID标签格式,指导机器人进行环境学习,且以标签的分布代表 环境整体结构,由标签内容传递导航任务,由此构建环境模型。 (2)针对激光数据存在噪声干扰的问题,设计了一种动态自适应中值滤 波方法,利用激光数据时间和空间上的相关性,剔除噪声干扰,平滑激光数据。

运用机器学习算法实现人脸特征点的自动定位，可用于人脸识别，表情识别等领域。