Shri Shankaracharya Technical Campus,SSGI Dept. of Information Technology Juwani, Bhilai, Chhattisgarh, India
Image databases and live video data is growing rapidly, their intelligent or automatic examining is becoming exceptionally more important. Human faces are one of very common and very particular objects that we need to try to detect in images. Face detection is very difficult task in image analysis which has each day many applications. We can illustrate the face detection problem as a computer vision task which involve in detecting one or several human faces in an image. Identification & Authentication has become major problems in present digital world. Face detection plays a significant role in identification & authentication. In this paper we propose mechanism for detecting faces from low luminance video and poor quality video files using PCA and Voila Jones Algorithm. We show effectiveness of our algorithm by taking low light video and poor quality video for comparison. KEYWORDS: Face Detection, Face Recognization, Identity, Computer Vision.
With the rapid growth of computational powers and availability of present sensing, investigation and representation of equipment and technologies, computers are now becoming extra and more intelligent. Number of research projects and commercial products have illustrate the capability for a computer to communicate with human in a natural way by looking at people through cameras, listening to citizens with the help of microphones, and reacting to people in a friendly behavior .One of the basic techniques that enables such natural human computer interaction (HCI) is face detection.
Face detection is the most important thing to the entire facial analysis algorithms, considering face alignment, face recognition, head pose tracking, face relighting, face modeling, face verification or face authentication, facial expression tracking or recognition, gender or age recognition, and many others. When computers can recognize face well which helps to understand the people’s thoughts and intentions. By providing an arbitrary image, the aim of face detection is to find whether or not there are any faces in the image as if the image is present then it will return the image location and extent of each face .
This may appears as a vital task for human beings, it is very tough task for computers, and has been one of the most studied research topics in the past few years. The difficulty consisted with face detection can be attributed to many different variations in scale, location, facial expression, occlusions, orientation (in-plane rotation), pose (out of-plane rotation), and lighting conditions.