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Description: 用VC开发联机数字、英文字符及汉字识别、人脸的检测与定位、图像的纹理分析方法、手写数字识别之模板匹配法等识别方法代码，均通过调试运行，希望对大家有所帮助-VC-line with the development of the number of English characters and Chinese character recognition, face detection and location, image texture analysis, handwritten numeral recognition is template matching methods, such as identification codes, are run through the debugger, I hope all of you to help
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Size: 15167488 |
Author: hhs |
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Description: 人脸检测，输入是可能包含人脸的图像，输出是关于图像中是否存在人脸和人脸的数目，位置，尺度等信息的参数化描述。-face detection with input:image might contains faces，output: if there are faces in the image and they number, location,and sizes.
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Size: 66560 |
Author: flq412 |
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Description: 直接完成BMP图像的二值化处理，可用于人脸检测与识别、指纹识别、车牌定位等领域-BMP images directly to complete binarization processing, can be used for face detection and recognition, fingerprint identification, the areas of license plate location
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Size: 2910208 |
Author: weiweixiong |
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Description: 人脸检测与定位,主要为预处理部分的源程序,主要是为后期工作做准备-Face detection and location, the main part of the source code for the pre-treatment, mainly to prepare for post-work
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Size: 1024 |
Author: sunjingzhi |
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Description: 人脸检测与定位系统的VC++源代码，可实现人脸的检测与眼睛、嘴的定位-Face Detection and Location System VC++ source code, enabling the detection of human faces and eyes, mouth positioning
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Size: 217088 |
Author: sunyolanda |
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Description: 识别中人脸的检测与定位所包含的算法程序，非常好用的，用vc写的-(facedetect)-pattern recognition of the human face detection and location included in the algorithm (facedetect)
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Size: 8819712 |
Author: 小淼 |
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Description: 深海资源考察探险队的潜艇将到达深海的海底进行科学考察。潜艇内有多个深海机器人。潜艇到达深海海底后，深海机器人将离开潜艇向预定目标移动。深海机器人在移动中还必须沿途采集海底生物标本。沿途生物标本由最先遇到它的深海机器人完成采集。每条预定路径上的生物标本的价值是已知的，而且生物标本只能被采集一次。本题限定深海机器人只能从其出发位置沿着向北或向东的方向移动，而且多个深海机器人可以在同一时间占据同一位置。
-Study of deep-sea resources of the submarine expedition to reach the deep-sea scientific expedition to the seabed. There are a number of deep-sea submarine robot. Submarine to reach the deep seabed, the deep-sea robot will leave the submarine to the target mobile. Deep-sea robot must also move along the seabed biological specimens collected. Along the face of biological specimens from the first deep-sea robot to complete its acquisition. Scheduled on each path the value of biological specimens are known, and biological samples can only be collected once. This title can only be limited to deep-sea robot from its starting position along the north or east direction, and a number of deep-sea robot can occupy the same location the same time.
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Size: 15360 |
Author: seabird |
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Description: 利用Visual c++实现人脸的检测与定位-Using Visual c++ to achieve the Face Detection and Location
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Size: 3625984 |
Author: Beata |
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Description: 主要用vc++对图像的模式识别，内容主要有联机字符识别，脱机字符识别，在线签名鉴定，人脸的检测与定位，印章识别-The main use vc++ for image pattern recognition, the content of main-line character recognition, off-line character recognition, on-line signature identification, face detection and location, seal identification
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Size: 40112128 |
Author: 蒋江军 |
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Description: 以前做人脸识别时用来标定眼睛的位置的一个小程序，很方便的可以标定大量图片的人眼位置并保存相关的坐标-Face recognition used to do before the eyes of the location of the demarcation of a small program, it is convenient calibration of a large number of pictures can the human eye location and save the coordinates of the relevant
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Size: 816128 |
Author: OYRF |
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Description: 人脸的检测与定位实例,在输入图像中确定所有人脸(如果存在)的位置与大小.人脸检测系统的输入是可能包含人脸的图像,输出是关于图像中是否存在人脸以及人脸的数目,位置,尺度等到信息的参数化描述.-Face detection and location of instances in the input image to determine all of the face (if it exists) the location and size. Face detection system it is possible to contain the input face image, the output is about the image, the existence of human face and human face the number, location, scale-based description of the parameters until the information.
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Size: 471040 |
Author: youxia |
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Description: 人脸的检测与定位算法源码，主用是采用人脸的灰度信息进行人脸的检测，并定位鼻子眼睛和嘴--Face detection and location algorithm source code, the main use is the human face of gray information Face Detection, positioning the nose and eyes and mouth
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Size: 3486720 |
Author: dingwangyang |
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Description: 日本ATR（Advanced Telecommunication Research InstituteInternational）的专门用于表情识别研究的基本表情数据库JAFFE，该数据库中包含了213幅（每幅图像的分辨率：256像素×256像素）日本女性的脸相，每幅图像都有原始的表情定义。表情库中共有10个人，每个人有7种表情（中性脸、高兴、悲伤、惊奇、愤怒、厌恶、恐惧）。 JAFFE数据库均为正面脸相，且把原始图像进行重新调整和修剪，使得眼睛在数据库图像中的位置大致相同，脸部尺寸基本一致，光照均为正面光源，但光照强度有差异。由于此表情数据库完全开放，且表情标定很标准，所以现在大多数研究表情识别的文章中都使用它来训练与测试。-Japan ATR (Advanced Telecommunication Research InstituteInternational), devoted to the basic expression of facial expression recognition research database JAFFE, the database contains 213 (each image resolution: 256 pixels × 256 pixels) Japanese women face relative to each piece of expression of both the original definition of the image. Expression library, a total of 10 individuals, each person has seven kinds of expressions (neutral face, happy, sad, surprise, anger, disgust, fear). JAFFE face database are positive phase, and the original image is re-adjust and trim, making the eye the location of the image in the database similar to the face basically the same size, light source are positive, but there are differences in light intensity. Since this expression database, completely open, and the expression of calibration is very standard, so now most of the research articles in both expression recognition use it to train and test.
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Size: 10378240 |
Author: 幺幺 |
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Description: This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex. -This is a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex.
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Size: 14336 |
Author: minu |
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Description: 图像人脸检测,眼睛定位的演示程序,可以作为人脸识别的参考。-Images of people face detection, eye location of the demo program can be used as reference for face recognition.
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Size: 1331200 |
Author: Johnsonliu |
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Description: 图像配准和图像拼接方面的综述性文章，比较全面-Images of people face detection, eye location of the demo program can be used as reference for face recognition
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Size: 7830528 |
Author: Johnsonliu |
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Description: 针对人脸检测问题中快速性与准确性难以同时满足的情况，提出了一种将肤色和脸部特征相结
合的方法来检测人脸。由于通过基于肤色的算法能快速定位出人脸大致位置，因而检测速度能达
到实时的要求；同时利用脸部特征进一步细检，可保证检测的精确性。-Abstract：This paper proposes a human face detection algorithm based on skin color and facial features to meet
the demand for fast and accurate detection．Skin color jS used for coarse location and facial features are used for
fine face detection．Th e algorithm gains certain detection rate and can be used in real time applications in further
work
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Size: 236544 |
Author: 费富里 |
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Description: 本文采用的瞳孔定位算法的主要过程如下（本文以人脸图像右侧的瞳孔为例进行阐述，同理可以定位到左侧的瞳孔）：
在一幅人脸图像中，瞳孔因为其灰度值较低，因而成为最容易准确定位的部分，同时瞳孔位置的确定不仅确定了整个脸形
的位置，而且对于整个人脸图像的尺寸也可以进行较为准确合理地确定，因此利用瞳孔的位置作为ASM 模型初始化是非
常理想的。-In this paper, the pupil location algorithm is the main process is as follows (In this paper, the pupil face image to the right of set an example, empathy can be positioned to the left of the pupil): In a human face images, the pupil because of its gray value low, and thus become the most vulnerable part of the accurate positioning, while the pupil to determine the location of the entire Lian Xing is not only determined the location, but also for the entire human face image size can be determined more accurately and reasonably, so the use of the location of the pupil as the ASM model Initialization is very ideal.
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Size: 289792 |
Author: 天使 |
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Description: ：针对传统Gabor变换在提取表情特征时，冗余较大、特征维数较高的不足，结合ASM
自动特征定位技术，提出了一种基于特征点Gabor特征和ASM 形状特征相融合的面部表情
识别方法．实验表明，两种特征的融合，可有效地利用特征点的局部纹理信息和脸部器官的整
体形状信息，达到了更好的面部表情识另4效果．-: Gabor transform traditional expression feature extraction, the redundancy large feature dimension is high enough, combined with ASM automatic feature location technique, the algorithm based on feature characteristics of Gabor features and the ASM shape fusion of facial expression recognition Methods. Experimental results show that the integration of two features, feature points can effectively use the local texture information and the overall shape of the face organs of information, to achieve a better effect of facial expression understanding the other 4.
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Size: 365568 |
Author: MJ |
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Description: 人脸识别的程序，自己新做的！有需要的去看看吧。眼睛定位-Face recognition process, his new do! Need see it. Eye location
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Size: 3072 |
Author: 赵云 |
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