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人脸识别英特尔感知计算

[英]Face recognition Intel Perceptual Computing

I am a newbie working with INTEL PERCEPTUAL COMPUTING SDK Gold version released in 2013. I am using visual studio 2012 professional version and I am using c++ samples. 我是2013年发布的INTEL PERCEPTUAL COMPUTING SDK Gold版本的新手。我使用的是visual studio 2012专业版,我使用的是c ++样本。 I have figured out a way to detect faces of people when they come in front of the camera. 我找到了一种方法来检测人们面对镜头时的面孔。 Now I am developing a SECURITY application which will allow user authentication after FACIAL RECOGNITION. 现在我正在开发一个SECURITY应用程序,它将允许在面部识别后进行用户身份验证。 How can I store & compare faces detected by camera on runtime? 如何在运行时存储和比较相机检测到的面部?

i work at the studio of the perceptual computing sdk. 我在感知计算sdk的工作室工作。

all i can say is: 我只能说:
1. you have a function called FaceAnalysis.CreateModel() which allows you to generate a model (haar cascade) of the face. 1.你有一个名为FaceAnalysis.CreateModel()的函数,它允许你生成面部的模型(haar cascade)。 this can be saved in a database after serialization (FaceAnalysis.Serialize() ). 这可以在序列化后保存在数据库中(FaceAnalysis.Serialize())。

2. you can compare that model the current face in real time by using the FaceAnalysis.Compare() function. 2.您可以使用FaceAnalysis.Compare()函数实时比较该模型的当前面部。 this can give you the option to compare the current identified face model to the ones exist in the database and if they are not exist then... 这可以让您选择将当前识别的面部模型与数据库中存在的面部模型进行比较,如果它们不存在则...

3. important note: that face recognition uses 2D capabilities. 3.重要提示:人脸识别使用2D功能。 therefore, if you show the sensor a picture of a guy you have in your database, it probably would fool the sensor as if that person sat in that chair. 因此,如果您向传感器显示数据库中的人物照片,则可能会欺骗传感器,就像那个人坐在那把椅子上一样。 therefore, you should not productize that exact version (because it can be fooled). 因此,你不应该产生那种确切的版本(因为它可能被愚弄)。

hope i helped and good luck. 希望我帮助,祝你好运。 we would love to hear what you think of the development process and on the api. 我们很想听听您对开发过程和api的看法。

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