Face Recognition in Video

The animated video consists of many characters being part of the video. To get the perfect face of the character you’ve seen live, you must go through the face recognition techniques. The biometric access control methods are gaining more and a wider circle of supporters. Today, the systems not only identify people by fingerprints, but also on the basis of DNA recognition that is based on the facial image. Nevertheless, these methods are still being researched upon in order to ensure reliability. There are several problems in these systems; the most common among them it that this system is easy to be manipulated to show the front of the camera image of the person that is entitled to access. There are many research underway to identify the validity and reliability of these systems and the authenticity of the AI procedures used. The aim of this method is to implement a simple algorithm which allows the location of the face recognition and then compare it with other animation techniques. Through this procedure the patterns recognition concept will be implemented in the procedure of face recognition.

The first step in faces recognition process is the process to explore the location. Proper execution of this step is essential for the proper conduct of face recognition. In order to conduct this process the very simple yet effective way is to use the measurements representing the probability that is given colour pixels of the human face. The next process is to take compare and correlate that probability with the threshold set for the image. A white color is potentially assigned to the pixels belonging to the face to be recognized and black is assigned to the rest of the areas.

The second model used is more resistant to the presence of areas with uniform colour. After comparing the threshold of the image in terms of probability belonging to each pixel of the human face image; the results revealed black and white image. Pixels belonging to potentially face are white and the rest of the image is black. One can now determine the parameters of the frame contained in the process of face recognition. This involves following steps:

• •        Divide the image on the vertical stripes having the width of 5 pixels
• •        Calculate the number of white pixels in each bar
• •        Find the largest cluster of vertical bars; where the white dots are above the accepted threshold
• •        Perform the same procedure in horizontal strips analysis

One can obtain the parameters that related to the enclosure of the face through different models. The important thing to be noticed is the fact that the image of the sample face has identified to have the same size as the patterns in the video. There might have been changes in lighting which may an impact on the value of colour components. The study of face recognition consisted of image selection related to a sample and then the sample was compared to other photos with created by the model using the face recognition techniques.
About The Author:

This article is authored by Steve, a Researcher and Content Developer who loves writing for various technology and web based industries. He has been actively writing on topics like Web Video Production, Explainer Videos and Animated Web Videos, furthermore he has been followed by thousands of web enthusiasts.