AYURVEDIC DOSHAS IDENTIFICATION USING FACE AND BODY IMAGE FEATURES
Main Article Content
Abstract
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.
References
Art of Living Faculty, “Ayurveda body types,†Artoflivingretreatcenter.org, 12-Jun-2020. [Online]. Available: https://artoflivingretreatcenter.org/blog/know-yourself-by-knowing-your-ayurvedic-body-type/. [Accessed: 12-Jun-2021]
M. Kshirsagar and A. C. Magno, Ayurveda: A Quick Reference Handbook. Lotus Press, 2011.
V. Lad and U. Lad, “Determining Your Constitution,†in Ayurvedic Cooking for Self Healing, p. 1.
“Ayurvedic Examination,†Healthmantra.com. [Online]. Available: http://www.healthmantra.com/ayur/ayur-examination.shtml. [Accessed: 12-Jun-2021].
“Face Shape Classification Based on Region Similarity, Correlation and Fractal Dimensions,†Int. J. Comput. Sci. Issues, vol. 13, no. 1, pp. 24–31, Feb. 2016.
M. H. Mahoor and M. Abdel-Mottaleb, “Facial features extraction in color images using enhanced active shape model,†in 7th International Conference on Automatic Face and Gesture Recognition (FGR06), 2006, pp. 5 pp. – 148.
E. Saber and A. M. Tekalp, “Frontal-view face detection and facial feature extraction using color, shape and symmetry based cost functions,†Pattern Recognit. Lett., vol. 19, no. 8, pp. 669–680, Jun. 1998.
M. Yang, K. Kpalma, and J. Ronsin, “A Survey of Shape Feature Extraction Techniques,†in Pattern Recognition, P.-Y. Yin, Ed. IN-TECH, 2008, pp. 43–90.
H. Moon, R. Chellappa, and A. Rosenfeld, “Optimal edge-based shape detection,†IEEE Trans. Image Process., vol. 11, no. 11, pp. 1209–1227, Nov. 2002.
F. S. Cottle, “Statistical human body form classification: Methodology development and application,†Auburn.edu. [Online]. Available: https://etd.auburn.edu/bitstream/handle/10415/3071/Cottle%20Dissertation%202012.PDF?sequence=2. [Accessed: 12-Jun-2021].
S. L. Phung, A. Bouzerdoum, and D. Chai, “Skin segmentation using colour pixel classification: analysis and comparison,†IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 1, pp. 148–154, Jan. 2005.
M. Osman, M. Maarof, and M. Rohani, “Towards Integrating Statistical Color Features for Human Skin Detection,†2016.
F. Song, X. Tan, S. Chen, and Z.-H. Zhou, “A literature survey on robust and efficient eye localization in real-life scenarios,†Pattern Recognit., vol. 46, no. 12, pp. 3157–3173, Dec. 2013.
D. Borza, A. S. Darabant, and R. Danescu, “Real-Time Detection and Measurement of Eye Features from Color Images,†Sensors, vol. 16, no. 7, Jul. 2016.
L. Zhao, Z. Wang, G. Zhang, Y. Qi, and X. Wang, “Eye state recognition based on deep integrated neural network and transfer learning,†Multimed. Tools Appl., vol. 77, no. 15, pp. 19415–19438, Aug. 2018.
U. R. Muhammad, M. Svanera, R. Leonardi, and S. Benini, “Hair detection, segmentation, and hairstyle classification in the wild,†Image Vis. Comput., vol. 71, pp. 25–37, Mar. 2018.
D. Wang, X. Chai, H. Zhang, H. Chang, W. Zeng, and S. Shan, “A novel coarse-to-fine hair segmentation method,†in Face and Gesture 2011, 2011, pp. 233–238.
W. Guo and P. Aarabi, “Hair Segmentation Using Heuristically-Trained Neural Networks,†IEEE Trans. Neural Netw. Learn. Syst., vol. 29, no. 1, pp. 25–36, Jan. 2018.
C. Rousset and P. Y. Coulon, “Frequential and color analysis for hair mask segmentation,†in 2008 15th IEEE International Conference on Image Processing, 2008, pp. 2276–2279.
P. Mehta, Dataset of around 800k images consisting of 1100 Famous Celebrities and an Unknown class to classify unknown faces: prateekmehta59/Celebrity-Face-Recognition-Dataset. 2019.
U. R. Muhammad, M. Svanera, R. Leonardi, and S. Benini, “Hair detection, segmentation, and hairstyle classification in the wild,†Image Vis. Comput., vol. 71, pp. 25–37, Mar. 2018.
Human-pose.mpi-inf.mpg.de. 2021. MPII Human Pose Database. [online] Available at: http://human-pose.mpi-inf.mpg.de [Accessed 25 July 2021].
M. Jalangan, “Skin Segmentation and Dominant Tone/Color Extraction,†Medium, 11-Sep-2018.
G. Bradski, “The OpenCV Library,†Dr Dobbs J. Softw. Tools, 2000.
‘D. E. King, “Dlib-ml: A Machine Learning Toolkit,†J. Mach. Learn. Res., vol. 10, pp. 1755–1758, 2009.
A. Pareek and W. Mar, “Optimized-RGB-To-ColorName/README.md at master •ayushoriginal/Optimized-RGB-To-ColorName,†github.com. [Online]. Available: https://github.com/ayushoriginal/Optimized-RGB-To- ColorName/blob/master/rgb2nearestcolor.py. [25 July 2021].
F. Chollet and others, “Keras,†2015. [Online]. Available: https://keras.io. [Accessed 25 July 2021].
“ImageNet.†[Online]. Available: http://www.image-net.org/about-publication. [Accessed 25 July 2021].
S. Jain and T. Chawla, “‘Ayurvedic doshas identification using face and body image features’ – a review,†International Journal of Advanced Research in Computer Science, vol. 12, no. 3, pp. 19–22, 2021.