asymmetric aging
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2021 ◽  
Author(s):  
Freddy Gabbay ◽  
Avi Mendelson ◽  
Basel Salameh ◽  
Majd Ganaiem
Keyword(s):  

2021 ◽  
Vol 119 ◽  
pp. 114090
Author(s):  
Freddy Gabbay ◽  
Avi Mendelson

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Muhammad Sajid ◽  
Naeem Iqbal Ratyal ◽  
Nouman Ali ◽  
Bushra Zafar ◽  
Saadat Hanif Dar ◽  
...  

Aging affects left and right half face differently owing to numerous factors such as sleeping habits, exposure to sun light, and weaker face muscles of one side of face. In computer vision, age of a given face image is estimated using features that are correlated with age, such as moles, scars, and wrinkles. In this study we report the asymmetric aging of the left and right sides of face images and its impact on accurate age estimation. Left symmetric faces were perceived as younger while right symmetric faces were perceived as older when presented to the state-of-the-art age estimator. These findings show that facial aging is an asymmetric process which plays role in accurate facial age estimation. Experimental results on two large datasets verify the significance of using asymmetric right face image to estimate the age of a query face image more accurately compared to the corresponding original or left asymmetric face image.


Author(s):  
Senthil Arasu ◽  
Mehrdad Nourani ◽  
Frank Cano ◽  
John M. Carulli ◽  
Vijay Reddy

Author(s):  
Palkesh Jain ◽  
Frank Cano ◽  
Bapana Pudi ◽  
N. V. Arvind

2013 ◽  
Vol 13 (2) ◽  
pp. 340-349 ◽  
Author(s):  
Jyothi Bhaskarr Velamala ◽  
Ketul B. Sutaria ◽  
Venkatesa S. Ravi ◽  
Yu Cao

2012 ◽  
Vol 29 (5) ◽  
pp. 18-26 ◽  
Author(s):  
Min Chen ◽  
Vijay Reddy ◽  
Srikanth Krishnan ◽  
Venkatesh Srinivasan ◽  
Yu Cao

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