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Description: 对静态图像实现脸部的定位与眼睛的定位，基于数学形态学的方法-right static facial images to achieve the position and orientation of the eyes, based on the method of mathematical morphology
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Size: 225282 |
Author: 陈玉 |
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Description: 对静态图像实现脸部的定位与眼睛的定位，基于数学形态学的方法-right static facial images to achieve the position and orientation of the eyes, based on the method of mathematical morphology
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Size: 225280 |
Author: 陈玉 |
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Description: 读取位图文件，标定出脸部区域，细化到左眼，右眼，鼻子，嘴的位置。-Read bitmap file, the demarcation of the facial region, thinning to the left eye, right eye, nose, mouth position.
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Size: 68608 |
Author: 魏春雨 |
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Description: 人脸定位实例！能够准确定位人脸的位置并能提取人脸特征！-Examples of Face Location! Able to accurately position the location of face and facial feature extraction!
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Size: 65536 |
Author: andy |
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Description: We present in this paper a technique for modeling and rendering wrinkles in facial animation. The
main advantage of our approach from previous work is that we do not modify the actual face geometry, but
instead we render the wrinkles as bump textures. Moreover we are only interested on wrinkles of expression,
instead of aged wrinkles. The user defines a wrinkle map, which is a gray scale 2D image defining the position
and height of wrinkles on the face. This map is interactively built with the help of the information provided in
the Facial Action Coding System (FACS). The wrinkle map is used as a bump map to built the actual wrinkles.
A prototype system for validation of this proposal is being built as a plug-in for the Expression facial animation
toolkit.-We present in this paper a technique for modeling and rendering wrinkles in facial animation. The
main advantage of our approach from previous work is that we do not modify the actual face geometry, but
instead we render the wrinkles as bump textures. Moreover we are only interested on wrinkles of expression,
instead of aged wrinkles. The user defines a wrinkle map, which is a gray scale 2D image defining the position
and height of wrinkles on the face. This map is interactively built with the help of the information provided in
the Facial Action Coding System (FACS). The wrinkle map is used as a bump map to built the actual wrinkles.
A prototype system for validation of this proposal is being built as a plug-in for the Expression facial animation
toolkit.
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Size: 577536 |
Author: hugofik |
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Description: 这是一个opencv 做的人脸表情检测程序，加载图片可以检测出人脸位置，以及 人脸表情。人脸转角不能太大，或者检测不准确。-This is a facial expression do opencv testing procedures, load the image can be detected face position and facial expression. Face the corner not too big, or detection is not accurate.
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Size: 12993536 |
Author: 龙钢 |
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Description: In recent times, the camera manufacturers have included a new parameter in the analysis: facial recognition. How a camera can detect if there are faces in a scene? For simple, when analyzing the data they send the AF and AE camera contrasts them with a database of patterns of faces.
"Patterns? Yes, the cameras covered thousands of facial structures and the relative position of different elements that make up the face:
The structure of the eyes and nose.
The distance between the eyes and nose.
The size and shape of the face.
The color temperature of the skin.
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Size: 863232 |
Author: lucdaro |
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Description: 自动人脸识别系统具有如图所示的一半框架并完成相应功能的任务。
（1）人脸图像的获取：一般来说，图像的获取都是通过摄像头摄取，氮摄取的图像可以是真人，也可以是人脸的图片或者为了相对简单，可以不考虑通过摄像头来摄取头像，而是直接给定要识别的图像。
（2）人脸的检测：人脸检测的任务是判断静态图像中是否存在人脸。若存在人脸，给出其在图像中的坐标位置，人脸区域大小等信息。而人脸跟踪需要进一步输出所检测到的人脸位置，大小等状态随时间的连续变化情况。
（3）特征提取通过人脸特征点的检测与标定可以确定人脸图像中显著特征点的位置（如眼睛，眉毛，鼻子，嘴巴等器官），同时还可以得到这些器官及其面部轮廓的形状信息的描述。-Automatic face recognition system has half of the framework as shown in the task and complete the corresponding function. (A) face image acquisition: In general, the image acquisition camera intake, nitrogen uptake of the image is real, is the picture of the face or to relatively simple, can not be considered through the camera head intake of the head, but given directly to the image you want to identify. (2) the detection of human faces: the face detection task is to determine whether there is a face in the static image. If there is a face, given the coordinates of the location in the image, the size of the face region. The face tracking needs further output the detected position of the face, size, state of continuous change over time. (3) feature extraction of facial feature points detection and image calibration can determine people face significant feature points (such as eyes, eyebrows, nose, mouth and other organs), but also can get the shape of these organs and their facial cont
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Size: 12288 |
Author: 蔡周杰 |
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Description: VC6.0,OpenCV实现人脸特征检测 1.实时人脸检测，通过摄像头获取人脸视频流，从中检测头部和眼部位置。这部分鲁棒性较好，光照影响较小2. 在一定程度上能够进行人脸识别，但是识别率不高。
-VC6.0, OpenCV facial feature detection to achieve a real-time face detection, face to get the video stream through the camera, which detects the position of the head and eye. This part of the robustness of the better light on the smaller 2 to some extent be able to face recognition, but recognition rate is not high.
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Size: 6723584 |
Author: hjm |
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Description: 该程序是基于OPenCV的人脸五官位置的标定识别程序-The calibration procedure is based on the identification procedures OPenCV position of facial features
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Size: 8829952 |
Author: 张瑒 |
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Description: ASM算法 MATLAB源代码
人脸特征点定位的目的是在人脸检测的基础上，进一步确定脸部特征点（眼睛、眉毛、鼻子、嘴巴、脸部外轮廓）的位置。定位算法的基本思路是：人脸的纹理特征和各个特征点之间的位置约束结合。-The purpose of the facial feature point positioning is to further determine the position of the facial feature points (eye, eyebrows, nose, mouth, contour of the face) on the basis of face detection. The basic idea of the localization algorithm is that the texture features of the face and the position constraint between the individual feature points are combined. The classical algorithm is ASM and AAM.
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Size: 152576 |
Author: 曾 |
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Description: 可以检测定位人脸和人的眼睛位置，适用于美颜相机中聚焦脸部和定位脸部器官(It can detect and locate the position of face and human eyes. It is suitable for focusing face and locating facial organs in beauty cameras.)
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Size: 186368 |
Author: xrkmyyl |
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