Description: 可以对人脸进行矩形圈定！还可以座为摄像的检测！-be right for rectangular face delineation! Block also for the detection cameras! Platform: |
Size: 347054 |
Author:王强 |
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Description: 可以对人脸进行矩形圈定！还可以座为摄像的检测！-be right for rectangular face delineation! Block also for the detection cameras! Platform: |
Size: 347136 |
Author:王强 |
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Description: 先利用图像背景差分法快速检测出人脸的初始矩形轮廓线，然后采用LevelSet方法对视频图像进行人脸轮廓提取-First use of the image background difference method for rapid detection of the initial face of the rectangular contour, and then LevelSet methods used for video images Face contour extraction
Platform: |
Size: 342016 |
Author:小屋 |
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Description: opencv人脸识别的应用。读入图片（需要在程序中修改）可输出识别了人脸的图片。需要opencv 1.0-opencv face detection. input image can output image with rectangular at the detected faces. need opencv 1.0 Platform: |
Size: 107520 |
Author:Andy Qin |
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Description: 一个关于面部检测的MATLAB算法，将人脸部分用矩形框表示出。-A MATLAB algorithm on face detection, will face some expressed rectangular box. Platform: |
Size: 641024 |
Author:liugaohua |
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Description: 人脸区域检测，对图像中的人脸区域进行检测并用矩形框标记。-Face region detection, face image in the region to detect and mark with a rectangular box. Platform: |
Size: 1024 |
Author:飞哥 |
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Description: 利用相似度和二值分析法，检测照片中的人脸区域，并可在照片画矩形框框住人脸。效果良好。-Similarity and binary analysis, face detection photo area to live in the face, and can draw a rectangular box in the photo. To good effect. Platform: |
Size: 292864 |
Author:祝中华 |
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Description: 实现对人脸的实时跟踪与检测，并用长方形实时标记！-To achieve real-time face tracking and detection, real-time mark with a rectangular Platform: |
Size: 5827584 |
Author:汤姆 |
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Description: 基于opencv的人脸检测程序，可将目标图像中人脸用矩形框出来-Based on the opencv face detection process, mark the human face of the target image using a rectangular box Platform: |
Size: 23283712 |
Author:dxl |
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Description: 可以从一幅含有头和肩部的图像中检测出人脸，并用矩形框框起来，将矩形框中的人脸裁剪出来并另存为80*80的图片-Can be detected an image containing a head and shoulders of a person' s face, and the frame up with a rectangle, the human face of the rectangular box to cut out and save it as 80* 80 pictures Platform: |
Size: 1024 |
Author:水木清华 |
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Description: 人脸检测：
第一部分，使用Harr-like特征表示人脸，使用“ 积分图”实现特征数值的快速计算;
第二部分， 使用Adaboost算法挑选出一些最能代表人脸的矩形特征( 弱分类器)，按照加权投票的方式将弱分类器构造为一个强分类器;
第三部分， 将训练得到的若干强分类器串联组成一个级联结构的层叠分类器，级联结构能有效地提高分类器的检测速度。(Face detection:
In the first part, the Harr-like feature is used to represent the human face, and the "integral graph" is used to realize the fast calculation of feature values;
In the second part, the Adaboost algorithm is used to select some rectangular features (weak classifiers) that represent the human face, and the weak classifier is constructed into a strong classifier according to weighted voting;
In the third part, a series of strong classifiers are formed in series to form a cascade classifier with cascading structure, and the cascade structure can effectively improve the detection speed of classifier.) Platform: |
Size: 2048 |
Author:14024235
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