Description: 实现人脸检测以及眼、嘴的定位，方法主要是肤色检测、腐蚀、膨胀等-Face detection, as well as the realization of eyes, mouth orientation, methods, mainly color detection, corrosion, swelling, etc. Platform: |
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Author:彭海娟 |
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Description: 人脸定位实例，买的一本书上的，可以运行，个人觉得不错-Examples of face orientation, bought a book, you can run, personally feel that a good Platform: |
Size: 66560 |
Author:mingzhu |
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Description: 天津大学ACM网站题，希望和大家交流一下，学习一下，谢谢！- Robot in Maze（TOJ 2470）——（b3.cpp）
There is a robot trapped in the maze. Now you have to send out some instructions, telling it how to reach its destination.
The maze is an M* N grid. Some of the cells are empty, while others are occupied by the wall. Of course the robot can t move into the wall, and the robot can t move outside the grid too. The robot can only accept three commands: TURN LEFT, TURN RIGHT and GO. The robot may face to North, South, East or West during the movement. When it receive a TURN LEFT command, it will rotate 90 degree to the left. That is, if it faces to east before the command, it will face to north after the TURN LEFT command. The TURN RIGHT command is almost the same, except that the direction is opposite. When receive the GO command, the robot will move 1 unit towards its orientation, unless there is a nonempty cell in front of it.
Please note the robot is always face to north at the beginning, i.e., face to the upper border in the maze map. (The Platform: |
Size: 106496 |
Author:王毛毛 |
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Description: 使用boosting,edge orientation histogram和cascade算法实现face detection的文章。解决了使用小数据库训练系统和区分肖像画的问题。-The use of boosting, edge orientation histogram and the cascade algorithm face detection article. Solution using a small database, training systems and the distinction between portraiture issues. Platform: |
Size: 521216 |
Author:刘洋 |
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Description: 近年来，面部识别技术已经备受关注，其研究已迅速，因为它有许多在计算机视觉通讯和控制系统，自动存取的应用潜力。特别是，人脸检测是一种面部识别作为自动人脸识别第一步的重要组成部分。
然而，人脸检测并不简单，因为它需要用到许多技术，如构成变化（前，非前），闭塞，形象定位，照明条件和面部表情的变化-In recent years, face recognition technology has been concern that its research has rapidly because it has many computer vision, communication and control system, automatic access to potential applications. In particular, face detection is a kind of face recognition automatic face recognition as an important part of the first step.
However, face detection is not simple, because it needs to use many techniques, such as changes in the composition (the former, non-ago), occlusion, image orientation, lighting conditions and facial expression changes .... Platform: |
Size: 443392 |
Author:lll |
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Description: 人脸检测与人脸识别
（1）人脸检测（Face Detection）
人脸检测（Face Detection）是指在输入图像中确定所有人脸（如果存在）的位置、大小、位姿的过程。人脸检测是自动人脸识别系统中的一个关键环节。
(2)人脸识别
人脸识别细分为两类，一类是回答我是谁的问题，即辨认（Identification），另一类是回答这个人是我吗？即确认（Verification）。显然，用于Identification模式的识别系统对算法的运算速度的要求要高于Verification模式的识别系统。
（3）区别于联系
从人脸自动识别技术所依据的理论来讲，人脸检测与人脸识别都是模式识别问题。
人脸检测是把所有的人脸作为一个模式，而非人脸作为另一个模式，人脸检测的过程就是将人脸模式与非人脸模式区别开来。
人脸识别是把每一个人的人脸作为一个模式来对待，不同人的脸属于不同的模式类，人脸识别的过程是将属于不同人的脸归于各自的模式。
换句话说，人脸检测强调的是人脸之间的共性，而人脸识别则要区分不同人脸之间的差异，二者同属于模式分类问题。
-Face Detection and Face Recognition
(1) Face Detection (Face Detection)
Face Detection (Face Detection) is all in the input image to determine the face (if it exists) of the location, size, position and orientation process. Automatic Face Recognition Face detection is a key component of the system.
(2) Face Recognition
Face recognition is subdivided into two categories, one who is answering my question, namely identification (Identification), the other is to answer this person is me? Is recognized (Verification). Clearly, the identification system for Identification mode of operation speed of the algorithm is higher than the requirements of the Verification pattern recognition system.
(3) different from the contact
From the automatic face recognition technology is based on the theory in terms of face detection and face recognition are pattern recognition problem.
Face detection is all the human face as a model, rather than the face as another mode, face detectio Platform: |
Size: 1024 |
Author:袁士杰 |
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Description: A method for extracting information about facial expressions
from images is presented. Facial expression images
are coded using a multi-orientation, multi-resolution
set of Gabor filters which are topographically ordered and
aligned approximately with the face. Platform: |
Size: 8192 |
Author:jsri |
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Description: 本课题研究的步骤如下：先提取人脸的特征向量；产生训练样本和测试样本；再用LVQ创建神经网络模型，该模型用训练样本进行训练调整权值；用测试样本对建立的人脸朝向识别模型进行验证，要求有较高的识别率。
本课题要求使用LVQ神经网络的算法进行Matlab仿真，对人脸朝向进行有效的判断和识别。
-This study is the following steps: first extract facial feature vector generate training and testing samples reuse create LVQ neural network model, which is trained using training samples to adjust the weights using the test sample towards the establishment of a human face recognition model validated requires a higher recognition rate. This topic requires the use of LVQ neural network algorithm Matlab simulation, the human face towards effective judgment and identification. Platform: |
Size: 132096 |
Author:吴军 |
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Description: LVQ即学习向量量化神经网络是一种用于训练竞争层的有监督学习方法神经网络，在模式识别和优化领域有着广泛的应用。本课题要求使用LVQ神经网络训练人脸的特征数据，得到模型对任一人脸图像的朝向进行识别。-Learning Vector Quantization LVQ neural network that is used to train competitive layer neural network supervised learning methods in the field of pattern recognition and optimization has been widely used. This problem requires the use of trained LVQ network facial feature data, the model for any one person to identify the orientation of the face image. Platform: |
Size: 3607552 |
Author:吴军 |
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Description: 随机森林法估计人脸姿态。我们提出用于估计位置和一个人的头部的方向，从由一个低质量的设备获取的深度数据的系统。-Random Forest method to estimate the face pose,。We present a system for estimating location and orientation of a person s head, from depth data acquired by a low quality device. Platform: |
Size: 2889728 |
Author:cui |
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Description: Pokeface
题目描述
魔术师将一叠扑克顺次在桌上排成一行，初始全部正面朝上。随后，他每次挥一挥衣袖，都会翻转一连串的扑克，改变它们的正反朝向。从古代传下来的规矩，魔术师皆有师傅，他们要随时准备回答师傅的问题。问题形如：目前从第i张扑克牌到第j张扑克牌中，有几张正面朝上？
作为魔术师的助手，你被要求学习程序设计、算法与数据结构。现在，魔术师把这个问题交给了你，你需要编写一个程序，维护相应的数据结构来保存桌子上牌面的情况，同时对于师傅的每一个问题，你要用尽量快的速度计算出答案。
输入
第一行包含三个正整数n、p和q。n表示扑克牌的数量，p表示魔术师的挥一挥次数，q表示师傅的问话次数。
接下来共p+q行，每行包含一个操作，操作分为2种：
H i j 魔术师挥一挥，改变了第i张牌到第j张牌的正反
Q i j 师傅问话：截至目前，第i张到第j张牌中有多少张正面朝上
操作中恰好包含p次H操作，q次Q操作，与第一行的p和q吻合。H操作和Q操作的范围均包含边界（即第i张和第j张牌）。
对于每个操作，输入保证1 ≤ i ≤ j ≤ n。
输出
对于每次Q操作，输出一行，包含一个整数，表示问题的答案。
提示：线段树-Pokeface
Title Description
The magician will stack poker table sequentially in a row, all the initial face-up. He then every wisp will flip a series of poker pros and cons of changing their orientation. The rules handed down ancient times, the master magician Jie, they be ready to answer the teacher s questions. Question of the form: Currently playing cards i to j-card poker, there are a few face-up?
As a magician s assistant, you are required to learn programming, algorithms and data structures. Now, the magician put this question to you, you need to write a program to maintain appropriate data structure to hold the cards on the table face the situation, while the master for each question, and you want to use as quickly calculate the answer.
Enter
The first line contains three positive integers n, p and q. n represents the number of poker, p represents the wave of the magic number, q represents the number of master s questioning.
Next, a total of p+ q rows, each containi Platform: |
Size: 2048 |
Author:DongWu |
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Description: 对不同的脸形和不同肤色的脸进行跟踪的对嘴角的一个定位。-For different faces and different color of skin of face tracking an orientation to the corners of the mouth. Platform: |
Size: 143360 |
Author:王正伟 |
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Search - face orientation