Research on facial feature-based gender intelligent recognition based on the Adaboost algorithm

2021 ◽  
Vol 13 (1) ◽  
pp. 40
Author(s):  
Jing Wang
Keyword(s):  
Facial Feature ◽  
Adaboost Algorithm ◽  
Feature Based ◽  
Intelligent Recognition

scholarly journals Deep-Facial Feature-Based Person Reidentification for Authentication in Surveillance Applications

2019 ◽  
Author(s):  
Yogameena Balasubramanian ◽  
Nagavani Chandrasekaran ◽  
Sangeetha Asokan ◽  
Saravana Sri Subramanian
Keyword(s):  
Facial Feature ◽  
Feature Based ◽  
Surveillance Applications

Forensic video solution using facial feature‐based synoptic Video Footage Record

2016 ◽  
Vol 10 (4) ◽  
pp. 315-322 ◽  
Author(s):  
Yogameena Balasubramanian ◽  
Kokila Sivasankaran ◽  
Sindhu Priya Krishraj
Keyword(s):  
Facial Feature ◽  
Video Footage ◽  
Feature Based

Analysis of Face Detection and Feature Location Application on Intelligent Character Design Situations

2013 ◽  
Vol 756-759 ◽  
pp. 3962-3966
Author(s):  
Hong Yan Li
Keyword(s):  
Face Detection ◽  
Facial Feature ◽  
Design System ◽  
Human Face ◽  
Feature Location ◽  
Facial Image ◽  
Threshold Method ◽  
Adaboost Algorithm ◽  
Character Design

Process of face detection and face feature location on sequence images is analyzed in this paper. Firstly, designer image is captured. Secondly, color threshold method is used to detect whether the image containing human face. thirdly, after above detection, if a human face existing, the Adaboost algorithm based on improved weight update is used to locate facial feature parts. Location on facial feature parts is premise of designing facial image and foundation for realization of intelligent character design system.

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