Face detection based on multiple kernel learning algorithm

Bo Sun; Siming Cao; Jun He; Lejun Yu

doi:10.1117/12.2235837

28 September 2016 Face detection based on multiple kernel learning algorithm

Bo Sun, Siming Cao, Jun He, Lejun Yu

Proceedings Volume 9971, Applications of Digital Image Processing XXXIX; 997134 (2016) https://doi.org/10.1117/12.2235837
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

Abstract

Face detection is important for face localization in face or facial expression recognition, etc. The basic idea is to determine whether there is a face in an image or not, and also its location, size. It can be seen as a binary classification problem, which can be well solved by support vector machine (SVM). Though SVM has strong model generalization ability, it has some limitations, which will be deeply analyzed in the paper. To access them, we study the principle and characteristics of the Multiple Kernel Learning (MKL) and propose a MKL-based face detection algorithm. In the paper, we describe the proposed algorithm in the interdisciplinary research perspective of machine learning and image processing. After analyzing the limitation of describing a face with a single feature, we apply several ones. To fuse them well, we try different kernel functions on different feature. By MKL method, the weight of each single function is determined. Thus, we obtain the face detection model, which is the kernel of the proposed method. Experiments on the public data set and real life face images are performed. We compare the performance of the proposed algorithm with the single kernel-single feature based algorithm and multiple kernels-single feature based algorithm. The effectiveness of the proposed algorithm is illustrated. Keywords: face detection, feature fusion, SVM, MKL

Citation Download Citation

Bo Sun, Siming Cao, Jun He, and Lejun Yu "Face detection based on multiple kernel learning algorithm", Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 997134 (28 September 2016); https://doi.org/10.1117/12.2235837

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Facial recognition systems

Detection and tracking algorithms

Machine learning

Databases

Analytical research

Binary data

Brain-machine interfaces

Show All Keywords

Keywords/Phrases

Search In:

Publication Years