This presentation discusses human face detection using MatLab. It begins with defining face detection as determining the location and size of human faces in images. There are two types of face detection: in static images and real-time from video. Real-time detection is simpler than static images due to human movement. Face detection in images refers to detecting faces in a single image. The presentation demonstrates the process of reading an image, detecting faces using an algorithm object, annotating the faces on the image, and displaying the number of detected faces. It provides code and an example output image with detected faces. Limitations are also noted.

1. welcome
To
presentation

2. Mosha. Shamima Sultana
ID : 122-15-1912
Sec : A
Department of CSE
Dr. Md. Hasanuzzaman
Professor, CSE, Dhaka University and
Advisor , CSE, DIU

3. Topic:
Human Face Detection Using MatLab

4. 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

5. 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.

6. Face detection in images
• It refers to how we can detect the faces in an image.

7. Original image:

8. 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

9. Procedure
Annotate 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.

10. code

11. Detected faces(output):

12. Limititions:
• It can’t detect faces without frontal view and
upright orientation.