Face Detection

1. Face Detection

2. Face Detection & Face Identification
Jaemin Jeong
Seminar
(세미나)
2
얼굴을 검출하기 위한 과정은 크게 4가지로 나누어 진다.
얼굴 검출 - 얼굴 특징 점 추출 - 얼굴 자르기 - 얼굴 인식
https://cmusatyalab.github.io/openface/

3. Face Detection
Jaemin Jeong
Seminar
(세미나)
3
• 가장 많이 사용되는 Opencv와 Dlib 라이브러리를 사용 할 수 있다.
• Pretrained Model 제공
• Opencv : HaarCascade
• Opencv : DNN
• Dlib : Hog
• Dlib : CNN

4. Face Detection
Jaemin Jeong
Seminar
(세미나)
4
Dlib : CNNDlib : hog + svm
Opencv : DNNOpencv : HaarCascade

5. Face Feature Point Detection
Jaemin Jeong
Seminar
(세미나)
5
68 point5 point

6. Face Alignment
Jaemin Jeong
Seminar
(세미나)
6

7. Face Crop
Jaemin Jeong
Seminar
(세미나)
7
5 pointorigin 68 point

8. Triplet Loss
Jaemin Jeong
Seminar
(세미나)
8

9. Face Embedding
Jaemin Jeong
Seminar
(세미나)
9

10. Triplet Loss
Jaemin Jeong
Seminar
(세미나)
10

11. Triplet Selection
Jaemin Jeong
Seminar
(세미나)
11

12. Evaluation
Jaemin Jeong
Seminar
(세미나)
12

13. Benchmark
Jaemin Jeong
Seminar
(세미나)
13

14. Sensitivity to Image Quality
Jaemin Jeong
Seminar
(세미나)
14

15. Embedding Dimensionality
Jaemin Jeong
Seminar
(세미나)
15

16. Amount of Training Data
Jaemin Jeong
Seminar
(세미나)
16

17. LFW
Jaemin Jeong
Seminar
(세미나)
17

18. Result
Jaemin Jeong
Seminar
(세미나)
18