Description: 人脸检测系统，用YCbCr色彩空间，进行了光照补偿，最后用眼睛和嘴巴的轮廓对候选区域进行精确定位。-face detection system using YCbCr color space, the light compensation. Finally, the eyes and mouth of the candidate profile regional accurate positioning. Platform: |
Size: 68090 |
Author:罗敏 |
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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. Platform: |
Size: 92401 |
Author:陈实 |
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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. Platform: |
Size: 98802 |
Author:萧董 |
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Description: 人脸检测系统，用YCbCr色彩空间，进行了光照补偿，最后用眼睛和嘴巴的轮廓对候选区域进行精确定位。-face detection system using YCbCr color space, the light compensation. Finally, the eyes and mouth of the candidate profile regional accurate positioning. Platform: |
Size: 3606528 |
Author:罗敏 |
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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. Platform: |
Size: 92160 |
Author:陈实 |
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Description: 人脸轮廓提取
简介：针对彩色24位bmp位图，通过光照补偿、肤色检测、假区域去除、轮廓跟踪，可以得到人脸轮廓线。可以是单人脸图像和多人脸图像。-Facial Contour Extraction Profile: 24 bmp for color bitmaps through the illumination compensation, color detection, false regional removal, contour tracking, can face contour lines. Can be single people face images and face images. Platform: |
Size: 901120 |
Author:游侠 |
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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. Platform: |
Size: 98304 |
Author:萧董 |
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Description: 研究描述人脸特征的有效方法, 讨论身份证照片的特征提取和检索采用自适应肤色检测技术改进通用的肤色检测算法, 进行脸部区域的划分提出系数投影法对面部五官区域进行分割, 在各区域中提取面部几何特征引人描述脸颊和下额轮廓的曲线参数作为脸形特征, 得到对人脸特征更准确的描述将面部几何特征矢量匹配、脸形曲线参数匹配和脸部图像相关匹配相结合, 实现人像照片的准确检索实验表明该方法性能优良。-Describe the facial features of an effective way to discuss the ID card photo feature extraction and retrieval using adaptive skin color detection techniques improve the general detection algorithm for facial areas by the proposed coefficient of projection of the facial features to segment the region, in the Extraction of geometric features of the region face cheeks and under the places described in the introduction of profile parameters of the curve as facial features, facial features and get the more accurate description of the feature vector matching facial geometry, face curve parameter matching and matching facial images related to the combination of to achieve an accurate portrait photo retrieval experiments show that the method excellent. Platform: |
Size: 699392 |
Author:郭事业 |
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Description: 实现了利用数字图像模式识别技术实现对人脸的自动检测与特征定位。包括有脸相似度计算、人脸轮廓提取、人脸定位、脸内轮廓提取、眼睛定位、鼻子定位和嘴定位等部分。-Achieved using digital image pattern recognition technology to the automatic human face detection and feature location. Include face similarity calculation, face contour extraction, face detection, face in profile extraction, eye location, nose and mouth positioning part positioning. Platform: |
Size: 602112 |
Author:程旭 |
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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. Platform: |
Size: 293888 |
Author:linuszhao |
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Description: 实现了利用数字图像模式识别技术实现对人脸的自动检测与特征定位。包括有脸相似度计算、人脸轮廓提取、人脸定位、脸内轮廓提取、眼睛定位、鼻子定位和嘴定位等部分。-Achieved using digital image pattern recognition technology to the automatic human face detection and feature location. Include face similarity calculation, face contour extraction, face detection, face in profile extraction, eye location, nose and mouth positioning part positioning. Platform: |
Size: 2091008 |
Author:nate |
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Search - face profile detection