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Description: 针对当前网络化教学的发展趋势和成教学生分布广、面授时间短的情况,开发的基于JAVA平台的远程教学管理系统-view of the current network of teaching and the development trend into teaching students widely distributed, face-to-face a short time. Java-based development platform for distance learning management system
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Size: 113125 |
Author: 范孟君 |
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Description: 中科院的多视角人脸识别
Real-Time Multi-View Face Detection
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Size: 525025 |
Author: carl2380 |
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Description: It is a utility to control screen saver using human face detection. Human face detection is performed using OpenCV Haar-Cascade method. The software is primarily a daemon that resides in your system tray and keeps observing the input from a webcam to analyze if the user is no longer in view. Currently two angles are supported namely frontal pose and profile pose.
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Size: 98304 |
Author: 萧董 |
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Description: 三维WRL格式数据的显示程序
除C++源代码外，还包含地形、人脸轮廓、venus轮廓三个WRL格式的数据以及简单的程序应用事例。-WRL format of three-dimensional data display program in addition to C++ Source code, it also includes terrain, face contour, venus three WRL format contour data, as well as application examples of a simple procedure.
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Size: 773120 |
Author: 朝露之叹 |
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Description: 中科院的多视角人脸识别
Real-Time Multi-View Face Detection-Chinese Academy of Sciences of the Multi-View Face Recognition Real-Time Multi-View Face Detection
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Size: 524288 |
Author: carl2380 |
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Description: 本电子书收集了网上一百三十道ASP.NET的面试题。-The e-book collection of 130 online ASP.NET face questions.
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Size: 129024 |
Author: 周逸梦 |
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Description: face detection
Face detection can be regarded as a more general case of face localization In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detection, one does not have this additional information.
Early face-detection algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multi-view face detection. That is, the detection of faces that are either rotated along the axis from the face to the observer (in-plane rotation), or rotated along the vertical or left-right axis (out-of-plane rotation),or both.-face detection
Face detection can be regarded as a more general case of face localization In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detection, one does not have this additional information.
Early face-detection algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multi-view face detection. That is, the detection of faces that are either rotated along the axis from the face to the observer (in-plane rotation), or rotated along the vertical or left-right axis (out-of-plane rotation),or both.
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Size: 13312 |
Author: gianni |
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Description: vc++ 开发的sdi switch view 类，适用于软件开发人员适用。能够控制不同的view视图的控制和切换，并且不破坏原视图的格式和数据。-it s a code for software developers to make a easy face of the software ,it will not kill the data and the item of the view .
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Size: 71680 |
Author: chen |
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Description: Boosting Nested Cascade Detector for Multi-View Face Detection
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Size: 202752 |
Author: lilin |
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Description: 人脸检测的研究具有重要的学术价值，人脸是一类具有相当复杂的细节变化的自然结构目标，对此类目标的挑战性在于：人脸由于外貌、表情、肤色等不同，具有模式的可变性；一般意义下的人脸上，可能存在眼镜、胡须等附属物；作为三维物体的人脸影像不可避免地受由光照产生的阴影的影响。因此，如果能够找到解决这些问题的方法，成功地构造出人脸检测系统，将为解决其他类似的复杂模式的检测问题提供重要的启示。-Face detection can be regarded as a specific case of object-class detection. In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given class. Examples include upper torsos, pedestrians, and cars.
Face detection can be regarded as a more general case of face localization. In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detection, one does not have this additional information.
Early face-detection algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multi-view face detection. That is, the detection of faces that are either rotated along the axis from the face to the observer (in-plane rotation), or rotated along the vertical or left-right axis (out-of-plane rotation), or both. The newer algorithms take into account variations in the image or video by factors such as f
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Size: 2994176 |
Author: 力量 |
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Description: 复杂背景下多视角人脸检测与识别仿真需要的工具箱详解。-Complex Background Multi-View Face Detection and Recognition Detailed simulation toolbox needs.
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Size: 3788800 |
Author: titlee |
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Description: face recognition with frontal and profile view
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Size: 114688 |
Author: hossain |
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Description: 该人脸库包含30个人、每人10幅总共300幅光栅图像，每个人的10幅图像包括了朝正前方、朝左、朝右、朝上和朝下五种不同的视角
方向的情形，经典的多姿态人脸库
注意此文件为.ras格式，需要用ACDSEE打开，SUN光栅图片格式。-The face database contains 30 individuals, each 10 Total 300 raster images, 10 images of each person included toward the front, left, turn right, up and down direction of the perspective of five different situations, Classic Pose-face database Note that this file is. ras format, you need to open with ACDSEE, SUN raster image formats.
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Size: 63641600 |
Author: shirley |
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Description: Multi-view face Detection
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Size: 2903040 |
Author: show_live |
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Description: Multi-view face recognition
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Size: 438272 |
Author: show_live |
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Description: 通过眼睛来匹配照片人像的相似度，可以查看下哇-Photo portrait by eye to match the similarity, you can view the next wow
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Size: 23862272 |
Author: huanghuang |
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Description: Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application
domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of Oriented Gradients, i.e. HOG, features. A K-mean clustering technique is used in a cascade of HOG feature classifiers to detect faces. The evaluation of the algorithm shows similar performance in terms of detection rate as state of the art algorithms. Moreover, unlike state of the art algorithms,our system can be quickly trained before detection is possible. Performance is considerably increased in terms of lower computational cost and lower false detection rate when combined with motion constraint given by moving objects in video sequences. The detected HOG features are integrated within a tracking framework and allow reliable face tracking results in several tested surveillance video sequences.
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Size: 293888 |
Author: linuszhao |
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Description: 支持向量机及其在人脸识别中的应用研究
上海交通大学博士论文，在知网上面付费下载得到的。本文从应用的角度出发，较为全面地对一些相关问题进行探讨，并使用Visual C++实现了一个基于支持向量机的人脸识别软件—idTeller。 论文的主要工作和创新点包括： ·提出了两种基于VC边界的支持向量机参数选择算法—固定C算法和VC-CV算法。VC边界是两类支持向量机参数选择的一个理想准则，但它的一些固有缺点使其应用变得困难。本文通过将VC边界转化为VC指标，最终把问题归结为对最小包围体的求解，从理论上和计算上为VC边界的使用铺平了道路。在此基础之上，本文提出了两种基于VC边界的参数选择算法—固定C算法和VC-CV算法。在数个基准数据集上的实验表明，相比交叉验证算法，VC-CV算法不仅能获得性能更好的分类器，而且具有较低的计算复杂度。 ·使用序贯最小优化算法解决了最小包围体求解问题。最小包围体求解是计算VC指标的一个关键步骤，本文使用序贯最小优化算法对其求解，并对算法初始化、参数选择及更新等若干实现问题进行了深入地研究。在多个基准数据集上的实验表明，序贯最小优化算法能够快速而准确地解决最小包围体求解问题。-
Support vector machine and its application to face recognition
Shanghai Jiaotong University doctoral thesis, in HowNet above pay to get the download. From the application point of view, to more fully explore some related issues, and using Visual C-idTeller a support vector machine-based face recognition software. The main work and innovation of the paper include: two kinds of parameters of support vector machine based on the VC boundary selection algorithm- fixed-C algorithm and the VC-CV algorithm. VC boundaries are two types of support vector machine parameters to select the ideal criteria, but some of its inherent shortcomings make it difficult. This article by VC boundary for the VC index, and ultimately the problem is reduced to the solution of the minimum bounding volume, and paved the way for the use of the VC boundary from the theory and calculations. On this basis, we propose two parameter selection algorithm based on the VC boundary- fixed-C algorithm and the VC-CV algorit
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Size: 10384384 |
Author: Jessicaying |
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Description: C++程序员面试时候经常遇到的笔试题以及面试题，值得广大C++程序员下载来看-T questions and face questions when interviewing C++ programmers often encounter worthy of our C++ programmers view download
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Size: 59392 |
Author: 吴深 |
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Description: Face Pipeline to view and see the image features
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Size: 2048 |
Author: fahad123
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