Enhancement of Viola-Jones Algorithm using Local Binary Pattern Applied to Face Detection
Vol. 4 No. 6 (2022): IJOT
Articles
June 8, 2022
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Face detection is a type of computer image processing technology that can detect faces in digital images. In real-time applications such as CCTV surveillance and video tracking, automatic face detection and recognition is the most difficult and rapidly increasing study topic. One of the most well-known and often used methods for detecting human faces is the Viola-Jones Algorithm. The difficulty associated with the algorithm can be attributed to many variations in the angles of a person's face. In this paper, an enhanced Viola-Jones algorithm with a local binary pattern (LBP) is used to recognize numerous and tilted faces with excellent accuracy.
Anetin, J., Gonzaga, D. K. ., Castillon, V. M., & Agustin, V. A. (2022). Enhancement of Viola-Jones Algorithm using Local Binary Pattern Applied to Face Detection. International Journal on Orange Technologies, 4(6), 66–72. https://doi.org/10.31149/ijot.v4i6.3123
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Gupta, R. 2019. Breaking Down Facial Recognition: The Viola-Jones Algorithm. Towards Data Science. https://towardsdatascience.com/the-intuition-behind-facial-detection-the-viola-jones-algorithm-29d9106b6999
Islam, M. A., Naeem, A., Hasan, N., 2017. Comparison Between Viola-Jones and KLT Algorithms and Error Correction of Viola-Jones algorithm. IJRDO - Journal of Computer Science Engineering, p. 26. https://www.ijrdo.org/index.php/cse/article/view/499
Kadir, K. Kamaruddin, M. K., Nasir, H., Safie, S. I., Bakti, Z. A. K., 2014. A Comparative Study between LBP and Haar-like features for Face Detection Using OpenCV. 2014 4th International Conference on Engineering Technology and Technopreneurship (ICE2T). p.336-337. https://www.researchgate.net/publication/308836179_A_comparative_study_between_LBP_and_Haar-like_features_for_Face_Detection_using_OpenCV
Lopez, L. S., 2010. Local Binary Patterns applied to Face Detection and Recognition. Universitat Politecnica de Catalunya. p. 7. https://core.ac.uk/download/pdf/41809268.pdf
Prado, K.S., 2017. Face Recognition: Understanding LBPH Algorithm. Towards Data Science. https://towardsdatascience.com/face-recognition-how-lbph-works-90ec258c3d6b
Viola, P., Jones, M., 2001. Rapid Object Detection using a Boosted Cascade of Simple Features. Accepted Conference on Computer Vision and Pattern Recognition 2001. p. 2-3. https://www.cs.cmu.edu/~efros/courses/LBMV07/Papers/viola-cvpr-01.pdf
Damanik, R. R., Sitanggang, D., Pasaribu, H., Siagian, H., Gulo, F., 2018. An application of viola jones method for face recognition for absence process efficiency. Journal of Physics: Conference Series. p. 3. https://iopscience.iop.org/article/10.1088/1742-6596/1007/1/012013/pdf
Gupta, R. 2019. Breaking Down Facial Recognition: The Viola-Jones Algorithm. Towards Data Science. https://towardsdatascience.com/the-intuition-behind-facial-detection-the-viola-jones-algorithm-29d9106b6999
Islam, M. A., Naeem, A., Hasan, N., 2017. Comparison Between Viola-Jones and KLT Algorithms and Error Correction of Viola-Jones algorithm. IJRDO - Journal of Computer Science Engineering, p. 26. https://www.ijrdo.org/index.php/cse/article/view/499
Kadir, K. Kamaruddin, M. K., Nasir, H., Safie, S. I., Bakti, Z. A. K., 2014. A Comparative Study between LBP and Haar-like features for Face Detection Using OpenCV. 2014 4th International Conference on Engineering Technology and Technopreneurship (ICE2T). p.336-337. https://www.researchgate.net/publication/308836179_A_comparative_study_between_LBP_and_Haar-like_features_for_Face_Detection_using_OpenCV
Lopez, L. S., 2010. Local Binary Patterns applied to Face Detection and Recognition. Universitat Politecnica de Catalunya. p. 7. https://core.ac.uk/download/pdf/41809268.pdf
Prado, K.S., 2017. Face Recognition: Understanding LBPH Algorithm. Towards Data Science. https://towardsdatascience.com/face-recognition-how-lbph-works-90ec258c3d6b
Viola, P., Jones, M., 2001. Rapid Object Detection using a Boosted Cascade of Simple Features. Accepted Conference on Computer Vision and Pattern Recognition 2001. p. 2-3. https://www.cs.cmu.edu/~efros/courses/LBMV07/Papers/viola-cvpr-01.pdf
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