Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Existing Methods for Face Detection:A Review


Affiliations
1 SITRC, Nashik, India
     

   Subscribe/Renew Journal


Face detection and recognition owned significant consideration and appreciated as one of the most promising applications in the field of image processing. Face detection can consider a substantial part of face recognition operations The method of face detection in pictures is complicated because of variability present across human faces such as pose, expression, position and orientation, skin color, the presence of glasses or facial hair, differences in camera gain, lighting conditions, and image resolution. In this paper, various face detection algorithms are discussed which are frequently used. The Viola-Jones face detector is first studied. After that we survey number of techniques according to how they extract features and what learning algorithms are implemented.


Keywords

Face Detection, Classifier, Viola-Jones Face Detector, Local Binary Pattern, Hidden Markov Model, Support Vector Machine, Principal Component Analysis, Neural Network-Based Face Detection.
User
Subscription Login to verify subscription
Notifications
Font Size


  • Existing Methods for Face Detection:A Review

Abstract Views: 403  |  PDF Views: 0

Authors

Kirti P. Shinde
SITRC, Nashik, India
S. T. Gandhe
SITRC, Nashik, India

Abstract


Face detection and recognition owned significant consideration and appreciated as one of the most promising applications in the field of image processing. Face detection can consider a substantial part of face recognition operations The method of face detection in pictures is complicated because of variability present across human faces such as pose, expression, position and orientation, skin color, the presence of glasses or facial hair, differences in camera gain, lighting conditions, and image resolution. In this paper, various face detection algorithms are discussed which are frequently used. The Viola-Jones face detector is first studied. After that we survey number of techniques according to how they extract features and what learning algorithms are implemented.


Keywords


Face Detection, Classifier, Viola-Jones Face Detector, Local Binary Pattern, Hidden Markov Model, Support Vector Machine, Principal Component Analysis, Neural Network-Based Face Detection.

References