welcomeTopresentation

Presented By

Mosha. Shamima SultanaID : 122-15-1912Sec : ADepartment of CSE

Presented To

Dr. Md. Hasanuzzaman Professor, CSE, Dhaka University and

Advisor , CSE, DIU

Topic:Human Face Detection Using MatLab

Face detection• Face detection is a computer technology that

determines the locations and sizes of human faces in arbitrary (digital) images. It detects facial features and ignores anything else, such as buildings, trees and bodies

• There are two types of face detection problems: 1)Face detection in images and 2)Real-time face detection

Real-time face detection:• Real-time face detection involves detection of a face from a

series of frames from a video-capturing device.

• While the hardware requirements for such a system are far more stringent, from a computer vision stand point, real-time face detection is actually a far simpler process than detecting a face in a static image.

• This is because unlike most of our surrounding environment, people are continually moving. We walk around, blink, fidget, wave our hands about, etc.

Face detection in images

• It refers to how we can detect the faces in an image.

Original image:

Procedure:Read the image Firstly , we will read the image which ok.Get face detector object It is an object which has information of detecting the faces. So , It is

just an implementation of an algorithm which can detect the faces out of an image.

Use face detector object on an image A and get the faces

A function which will use these face detector on an image & get the details of the faces, so when it say the details of the faces, it will going to output all the geometrics details of the faces, which is precisely the number of faces. And get the Bounding box of an image

.

Bounding box of an image

ProcedureAnnotate these faces on the top of the

image In this step we mark this faces bar to the image.

So ,it has identified these faces. We pass the image here.

Display the number of faces in a string. Display this part , how many faces it has to be

detected.

code

Detected faces(output):

Limititions:•It can’t detect faces without frontal view

and upright orientation.