What do you think about face recognition?

After the development of face recognition in recent years, great progress has been made, such as the railway station ticket check, you need to hold an ID card** and your face to match the same person's physical characteristics.

It's not that face recognition is out of the question, but it has a long way to go. I've done this myself. There is still a big gap from practical application.

At present, it seems that face recognition technology is not very good, because in the beauty scene, there is an increasing demand for small facial details. Multiple functions are difficult to achieve under the traditional 68-point model.

Face recognition is just a confirmation, in fact, I personally think that there are loopholes, fingerprints may be more effective than face brushing,

The most difficult face image library, many companies have special people to brush on it, including some graduate students in universities have also brushed this.

In my opinion, the main component of face recognition technology is the visual algorithm of deep learning, which also has sub-classifications based on parts, heatmap-based or structure-based, etc.

Detail accuracy issues, such as monocular blinking, have little impact on the overall loss of the model, and the result is that small detail actions cannot be reflected in the calibration results.

Violating the right to privacy, many countries refuse to use it, and excessively steal citizens' privacy rights

I'm doing face recognition, and it's using traditional computer vision methods, such as Cascade, Regression Tree, or Essemble SVM.

Conveniently, there are some classes where you can sign in by brushing your face, as long as the recognized face appears in the face library that has been registered.

In the future development direction, many fields closely related to life will use face recognition technology.

Violation of human rights and privacy. Harm.

I wanted to find a system that could obtain personal information through facial recognition, and I knew that it would not be cheap, but hundreds of thousands, I went.

Can a big fat person be recognized if he is thin?

Hello dear, face recognition technology is a technology that uses computer analysis to take face images of mountains and lands to identify identity information. We believe that face recognition technology has the following highlights and problems: advantages:

1.Convenience: Face recognition technology can achieve identity recognition by taking face images, which is faster and more convenient than traditional identity verification methods.

2.High reliability: An individual's facial features cannot be replicated, so face recognition technology, as a biometric technology, can improve the accuracy and reliability of identity recognition and reduce the risk of impersonation.

3.Wide application: Face recognition technology has been used in public security, entry and exit management, finance, e-commerce, Internet of Things and other fields, with a wide range of application prospects and market potential.

Question:1Privacy Concerns:

The use of facial recognition technology may involve the protection of personal privacy, especially in the case of personal information leakage and abuse. 2.Discrimination Issues:

In the use of facial recognition technology, there may be some discrimination issues such as sub-race, age, gender, etc., which can easily affect fairness and fairness. 3.Security Issues:

Face recognition technology faces a variety of security risks such as hacker attacks, algorithm deception, and result tampering, and effective security measures need to be taken to prevent it. Therefore, the advantages and disadvantages of face recognition technology need to be comprehensively considered in the application, and the corresponding regulatory and regulatory measures should be tailored to ensure that it is legal, fair and credible.

Yes, because games should be anti-addictive, protect teenagers and minors, and face recognition is common in popular games.

According to the Interim Measures for the Administration of Online Games issued by the Ministry of Culture on August 1, 2010, users of online games are required to use valid identity documents for real-name registration.

Real-name registration is a prerequisite for the anti-addiction system

1. Users who have not registered with their real names will not be able to enter the game.

2. Users who have registered with their real names will be judged by their age information based on whether they are underage players (under 18 years old), and if they are underage players, they will receive a reminder from the anti-addiction system and a game time limit.

Benefits of the real-name system for online games:

The real-name system of online games will be a magic weapon to solve virtual property disputes, the manifestations of Yuchang virtual property disputes are diverse, the most common is the dispute between the gamer and the thief caused by the theft of virtual property, as well as the dispute caused by the fraud of currency transactions under the virtual property as a commodity, the implementation of the real-name system can make the virtual world and the real world well documented when transforming, and protect the rights and interests of players.

It is speculated that Hua Shu is boring for Mate10 will add face recognition, after all, Apple has adopted face recognition technology, and Huawei sedan will definitely follow suit and add the technology.

Face recognition, in fact, is the need to distinguish who the face belongs to in all the part of the data that the machine thinks is a face, which is a subdivision of visual pattern recognition.

In fact, we are all engaged in visual pattern recognition all the time, we obtain visual information through our eyes, and this information is processed by the brain to be recognized as meaningful concepts. So we knew if it was a drinking glass, a book, or something else in front of us.

We also practice face recognition all the time, and we meet countless people in our daily lives, recognize those acquaintances, greet them, deal with them, and ignore other strangers. Even avoid those we owe money and can't pay it back for the time being.

However, this seemingly simple task is not so easy for a machine to achieve.

The machine needs to find out what kind of concept a certain part of the data represents: which part of the data is a water cup, which part is a book, and which part is a face, which is a coarse classification problem in visual pattern recognition.

So you can roughly imagine how many times the computer needs to make a binary judgment to make a face detection of a graph.

The face detection step obtains the position and size of the face from a map, and sends the part of the image to the subsequent steps, including: face component point positioning, face image alignment and normalization, face image quality selection, feature extraction, and feature comparison. Once all the steps are completed, the identity of the face will be known.

Of course, we can also use the face detection function alone to complete some applications, such as most of the current cameras, and mobile phone cameras have a face detection function, which can automatically obtain the face position, so as to make some automatic focus and optimization for **. Even make some preliminary judgments about the face, such as gender, age, and even appearance.

1v1 face verification and 1v face lookup.

The protagonist successfully enters a confidential department through various ways to obfuscate layers of identity verification, which is a plot that often appears in movies. And this layer of authentication often includes facial recognition. In such applications, users are often required to provide their own identity.

For example, with the door card, the computer can obtain the face sample of the door card owner in the background through the door card, and compare it with the face image of the person currently using the door card to confirm whether the person currently using the key card matches the owner of the door card, so as to avoid the person who picks up your key card from easily mixing into the company.

This is a kind of 1v1 authentication, in which the computer performs a comparison between the current face and the stock face, which is an auxiliary to other verification methods, so as to improve the reliability of identity verification. At present, such applications have been widely used, such as access to sensitive facilities, remote account opening in the field of Internet finance, and identity verification for large withdrawals.

Probably for the characteristics of your face to recognize, everyone's face is different, there will always be some different from others, mobile phones and computers and other electronic products will be used, and then similar iris recognition.

Face recognition is a biometric technology that recognizes people based on their facial features. A series of related training technologies that use cameras or cameras to collect images or streams containing faces, and automatically detect and track faces in the images, and then carry out a series of related training technologies for the detected faces, which are also commonly called portrait recognition and facial recognition.

Face detection refers to the use of a strategy to search any given image of the state to determine whether it contains a face, and if so, to return the position, size, and pose of the face.

Face recognition refers to a face that needs to be recognized, the terminal used by Huake intelligent face recognition system is an embedded cloud cover hunger terminal product, the terminal performance is good, can ensure the efficient operation of the device, people only need a few seconds to pass through the turnstile can quickly pass, and a face in the training library corresponds, similar to fingerprint recognition, to complete the recognition function. Face recognition compares the detected faces with the faces in the database and returns the comparison results.

The face detection is to find out the face on a **, which is to detect the position of the face in the image or **, and feedback the coordinate position of the face in the limb posture, which completes the function of finding the face.

The machine infiltrates Dan to learn the principle of face, bright wheel, cong huai, and disturbance.

Face detection refers to finding out the face ratio from the image or ** to mark the position, and the most common scene is the face tracking focus in the phase pin. Human base face recognition is not only to detect the location of the face, but also to be able to identify the identity information according to the characteristics of this sensitive person, such as Zhiyu's Ailai smart retail solution, which can identify the identity of customers entering the store, so as to help merchants provide personalized services.

Face detection is the foundation of face technology.

ArcSoft's face detection technology supports a variety of complex environments such as strong light, low light, dark night, and backlight.

In addition, it can detect the position of the face from various angles such as the front face and the side face.

Face recognition is a biometric technology that recognizes a person's facial features. It collects ** or ** streams containing faces and automatically detects and tracks faces in **, and then performs facial recognition on the detected faces.