THE MODERN STATE OF THE PROBLEM OF FACIAL SIGNS DISTRIBUTION
Abstract
The image feature extraction stage plays an important role in face recognition. This paper discusses a general feature extraction framework for effective face recognition. When implementing this stage, many scientific and practical studies on the extraction of facial features are taken into account.
Keywords:
face image, filter, local features, encoding, descriptor, clustering algorithms, local binary pattern method.References
R. Brunelli and T. Poggio, “Face recognition: Features versus templates”, IEEE
transactions on pattern analysis and machine intelligence, vol. 15, no. 10, pp. 1042–
, 1993.
L. Sirovich and M. Kirby, “Low-dimensional procedure for the characterization of
human faces,” Josa a, vol. 4, no. 3, pp. 519–524, 1987.
P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, “Eigenfaces vs. fisherfaces:
Recognition using class specific linear projection,” IEEE Transactions on pattern
analysis and machine intelligence, vol. 19, no. 7, pp. 711–720, 1997.
J. Zou, Q. Ji, and G. Nagy, “A comparative study of local matching approach for face
recognition,” IEEE Transactions on image processing, vol. 16, no. 10, pp. 2617–2628,
B. Yang and S. Chen, “A comparative study on local binary pattern (lbp) based face
recognition: Lbp histogram versus lbp image,” Neurocomputing, vol. 120, pp. 365–
, 2013.
T. Ahonen and M. Pietik¨ainen, “Image description using joint distribution of filter
bank responses,” Pattern Recognition Letters, vol. 30, no. 4, pp. 368–376, 2009.
Mamatov, N. S., Niyozmatova, N. A., Jalelova, M. M., Samijonov, A. N., &
Tojiboyeva, S. X. (2023). Methods for improving contrast of agricultural images. In
E3S Web of Conferences (Vol. 401, p. 04020). EDP Sciences.
Mamatov, N., Sultanov, P., Jalelova, M., & Samijonov, A. (2023). 2D image
processing algorithms for kidney transplantation. Scientific Collection «InterConf»,
(184), 468-474.
Mamatov, N. S., Jalelova, M. M., Samijonov, A. N., & Samijonov, B. N. (2024, February). Algorithm for improving the quality of mixed noisy images. In Journal of
Physics: Conference Series (Vol. 2697, No. 1, p. 012013). IOP Publishing.
Mamatov, N., Jalelova, M., Samijonov, B., & Samijonov, A. (2024). Algorithm for
extracting contours of agricultural crops images. In ITM Web of Conferences (Vol. 59,
p. 03015). EDP Sciences.
Маматов, Н., Султанов, П., Жалелова, М., & Тожибоева, Ш. (2023). Критерии
оценки качества медицинских изображений, полученных на мультиспиральном
компьютерном томографе. Евразийский журнал математической теории и
компьютерных наук, 3(9), 27-37.
Mamatov, N. S., Pulatov, G. G., & Jalelova, M. M. (2023). Image contrast
enhancement method and contrast evaluation criteria optimal pair. Digital
Transformation and Artificial Intelligence, 1(2).
Mamatov, N., Dadaxanov, M., Jalelova, M., & Samijonov, B. (2024, May). X-ray
image contrast estimation and enhancement algorithms. In AIP Conference
Proceedings (Vol. 3147, No. 1). AIP Publishing.
Mamatov, N., Niyozmatova, N., Jalelova, M., Samijonov, A., & Tojiboyeva, S. (2024,
May). Methods for increasing the contrast of drone agricultural images. In AIP
Conference Proceedings (Vol. 3147, No. 1). AIP Publishing.
Mamatov, N., Jalelova, M., & Samijonov, B. (2024). Tasvir obyektlarini
segmentatsiyalashning mintaqaga asoslangan usullari. Modern Science and Research,
(1), 1-4. https://inlibrary.uz/index.php/science-research/article/view/28241
Mamatov, N., Jalelova, M., Samijonov, B., & Samijonov, A. (2024). Algorithms for
contour detection in agricultural images. In E3S Web of Conferences (Vol. 486, p.
. EDP Sciences.
Маматов, Н., Рахмонов, Э., Самижонов, А., Жалелова, М., & Самижонов, Б.
(2023). ТАСВИРДАГИ МИКРОСКОПИК ОБЪЕКТЛАРНИ ТАНИБ ОЛИШ
АЛГОРИТМЛАРИ. Евразийский журнал математической теории и
компьютерных наук, 3(11), 7-13.
Solidjonovich, M. N., Qizi, J. M. M., Qizi, T. S. X., & O’G’Li, S. B. N. (2023).
SUN’IY YO’LDOSHDAN OLINGAN TASVIRDAGI DALA MAYDONI
CHEGARALARINI ANIQLASH USULLARI. Al-Farg’oniy avlodlari, 1(4), 177-181.
Маматов Нарзулло Солиджонович, Жалелова Малика Моятдин қизи, Тожибоева
Шахзода Холдоржон қизи, Самижонов Абдурашид Нарзулло ўғли. (2024).
КОНТУРЛАРНИ ИНГИЧКАЛАШТИРИШ АЛГОРИТМЛАРИ. Uz-Conferences,
(1), 346–352. Retrievedfromhttps://uz-conference.com/index.php/p/article/view/74
Mamatov, N., Erejepov, K., Narzullayev, I., & Jalelova, M. (2024). Traditional and
Machine Learning Methods of Face Image Segmentation. INTERNATIONAL JOURNAL OF THEORETICAL AND APPLIED ISSUES OF DIGITAL
TECHNOLOGIES, 7(1), 24–30. https://doi.org/10.62132/ijdt.v7i1.157
Y. Huang, Z. Wu, L. Wang, and T. Tan, “Feature coding in image classification: A
comprehensive study,” Pattern Analysis and Machine Intelligence, IEEE Transactions
on, vol. 36, no. 3, pp. 493–506, 2014.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Маматов Н.С, Ережепов К.К, Самижонов А.Н
This work is licensed under a Creative Commons Attribution 4.0 International License.