Skip to the main content

Original scientific paper

https://doi.org/10.32914/mcpr.10.1.1

ROBUST AUTOMATIC VISUAL METHOD FOR DETERMINING FACIAL ANGLES FROM PROFILE VIEW IMAGES

Shanmugasundaram Singaravelan ; PSR Engineering College, Sivakasi, India
Dhanushkodi Murugan ; Manonmaniam Sundaranar University, Tirunelveli, India


Full text: english pdf 643 Kb

page 6-18

downloads: 542

cite


Abstract

A analysis of human facial images has become increasingly important due to its numerous applications. In this regards, extracting facial parameter is vital and various studies have been done in this field. Hence in our proposed work, first time up to our knowledge, a robust automatic method is introduced for determining facial angles from profile view images using radon transform. Radon transform is a kind of linear integration along a specific direction and angles play an important role to do this transform. The global features were rather considered by constructing a linear discriminant analysis (LDA) and also local features were rather considered by locality preserving projection (LPP). Our proposed combined algorithm has not only good precision, but also efficient performance and robust with noisy, scale and rotated image environments. In this work, several experiments have been conducted to analyze the robustness of our proposed Radon Combined Global and Local Preserving Features (RCGLPF) algorithm along with other existing conventional algorithms.

Keywords

Radon Transform; linear discriminant analysis; locality preserving projection; Combined Features; RCGLPF

Hrčak ID:

220664

URI

https://hrcak.srce.hr/220664

Publication date:

31.3.2019.

Article data in other languages: croatian

Visits: 1.319 *