Browse > Article
http://dx.doi.org/10.6109/jkiice.2021.25.7.896

Rotated Face Detection Using Polar Coordinate Transform and AdaBoost  

Jang, Kyung-Shik (Division of Creative Software Eng., Dong-eui University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.7, 2021 , pp. 896-902 More about this Journal
Abstract
Rotated face detection is required in many applications but still remains as a challenging task, due to the large variations of face appearances. In this paper, a polar coordinate transform that is not affected by rotation is proposed. In addition, a method for effectively detecting rotated faces using the transformed image has been proposed. The proposed polar coordinate transform maintains spatial information between facial components such as eyes, mouth, etc., since the positions of facial components are always maintained regardless of rotation angle, thereby eliminating rotation effects. Polar coordinate transformed images are trained using AdaBoost, which is used for frontal face detection, and rotated faces are detected. We validate the detected faces using LBP that trained the non-face images. Experiments on 3600 face images obtained by rotating images in the BioID database show a rotating face detection rate of 96.17%. Furthermore, we accurately detected rotated faces in images with a background containing multiple rotated faces.
Keywords
Rotated face detection; Polar coordinate transform; AdaBoost; Haar-like feature; LBP feature;
Citations & Related Records
연도 인용수 순위
  • Reference
1 H. Rowley, S. Baluja, and T. Kanade, "Rotation Invariant Neural Network-Based Face Detection," in IEEE International Conference on Computer Vision and Pattern Recognition, pp. 38-44, 1998.
2 R. F. Abdel-Kader, R. M. Ramadan, and R. Y. Rizk, "A Hybrid Rotation-Invariant Face Recognition System Using Log-Polar Transform," in IEEE International Symposium on Signal Processing and Information Technology, pp. 585-590, 2009.
3 BioID Face Database [Internet]. Available: https://www.bioid.com/facedb/index.php.
4 Y. Shima, Y. Nakashima, and M. Yasuda, "Detecting orientation of in-plain rotated face images based on category classification by deep learning," in IEEE Region 10 Conference (TENCON), pp. 127-132, Nov. 2017
5 G. B. Sujate and V. H. Mankar, "Recognition of Faces using Efficient multi-scale local binary pattern and kernel Discriminant Analysis in Varying Environment," American Journal of Engineering and Applied Sciences, vol. 10, no. 3, pp. 726-732, 2017.
6 S. Liao and S. Z. Li, "Learning Multi-scale Block Local Binary Patterns for Face Recognition," in International Conference on Biometrics, pp. 828-837, Aug. 2007.
7 S. N. Sujay, H. S. M. Reddy, and J. Ravi, "Face recognition using extended LBP features and multilevel SVM classifier," in International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques, pp. 1-4, Dec. 2017.
8 G. Singh and A. K. Goel, "Face Detection and Recognition System using Digital Image Processing," in International Conference on Innovative Mechanisms for Industry Applications, pp. 348-352, Mar. 2020.
9 P. Viola and M. Jones, "Robust Real-Time Face Detection," in IEEE International Conference Computer Vision, vol. 20, pp. 1254-1259, Jul. 2001.
10 B. Jun, I. Choi, and D. Kim, "Local transform features and hybridization for accurate face and human detection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 6, pp. 1423-1436, Jun. 2013.   DOI
11 Y. Chen and Y. X. W. Liu, "Multi-angle Face Detection with Step-by-Step Adjustment Networks," in International Conference on Mechanical, Control and Computer Engineering, pp. 589-594, Sept. 2018.
12 X. Shi, S. Shan, M. Kan, S. Wu, and X. Chen, "Real-time rotation-invariant face detection with progressive calibration networks," in IEEE Conference on Computer Vision and Pattern Recognition, pp. 2295-2303, Jun. 2018.
13 Y. H. Tsai, Y. C. Lee, J. J. Ding, R. Y. Chang, and M. C. Hsu, "Robust in-plane and out-of-plane face detection algorithm using frontal face detector and symmetry extension," Image and Vision Computing, vol. 78, pp. 26-41, Oct. 2018.   DOI
14 H. A. Rowley, S. Baluja, and T. Kanade, "Neural network-based face detection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, pp. 23-38, Jan. 1998.