Abstract
A kernel-coefficient-based feature method is proposed to detect faces. The proposed method uses a mathematical expression and 26 different arrangements of kernel-coefficients of a kernel (testing region). The method manipulates the symmetric appearance of a face with respect to a rigid-kernel (fixed region). The expression, which is used to generate feature values, responds to pixels on edges of the image-objects only. For each distinct arrangement of kernel-coefficients, a feature-value is generated. The objective of the proposed kernel-coefficient-based feature method is to reduce the number of feature values required for face detection.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
