Title :- Robust Face-Name Graph Matching for
Movie Character Identification.
1. Face detection system.
2. Language:- C#
Group Members :-
1.Pallavi S. Malode.
2.Archana S. Aher.
Introduction About METHODOLOGY:-
Automatic face identification of characters in movies has drawn significant research interests and led to many interesting applications. It is a challenging problem due to the huge variation in the appearance of each character. Although existing methods demonstrate promising Results in clean environment, the performances are limited in complex Movie scenes due to the noises generated during the face tracking and Face clustering process. In this project we present two schemes of global face-name matching based framework for robust character identification. The contributions of this work include: Complex character changes are handled by simultaneously graph partition and graph matching. Beyond existing character identification approaches, we further perform an in depth sensitivity analysis by introducing two types of simulated noises. The proposed schemes demonstrate state-of-the-art performance on movie character identification in various genres of movies.
Architecture Diagram :-
I/O And / Or
I/O And / Or
1. Design & Explain with Login
In this module is going to explain the Robust Face-Name Graph Matching for Movie Character Identification designing and how we did the face detection and recognition in this project. The images will explain about the facial fetching details. After that admin going to login with the details which needed for the login page.
In this module we are going to detect the face of the movie characters. In this module we are using the emgu cv library we must install the emgu cv library. After installing the emgu cv lib in our project we need to add reference with the name emgu.cv, emgu.cv.util, emgu.cv.ui. When you will complete the references you will get the emgu controls in the toolbox.
In this module we are going to recognize the face of the movie characters which is we previously stored on the face database. We just found that the give the real name of it. This is going to be done here. Here we are using the With the help of these eigenObjectRecognizer we are going to recognize the face.
Chellangess In This Methodology :-
1. We detect the face in minute this is a big challenge for us because exiting system take more time for detection. 2. More challenging problem due to the huge variation in the appearance of each character. 3. It is increase speed of matching character and identify the character.
The Robust Face-Name Graph Matching for Movie Character Identification designing and how we did the face detection and recognition in this project. In this project we present two schemes of global face-name matching based framework for robust character identification. It is use in movies, video, cartoons.
Problem Analysis :-
1. It is difficult to Complex character changes are handled by simultaneously graph partition and graph matching. 2. Many character are not easily matching and identification face in movies. 3. It is hard to be increase speed of matching character and identify the character.
Existing Work :-
This project is used to detect the face of movie characters and recognize the characters in minute process and the existing system are taking the too much time to detect the face. But...