Development Out-Of-Plane Of Face Detection Using Surf And Skin Color YCbCr Color Space Technique

Nazurah, Ismaun (2015) Development Out-Of-Plane Of Face Detection Using Surf And Skin Color YCbCr Color Space Technique. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 pages) Development Out-Of-Plane Of Face Detection Using Surf And Skin Color YCbCr Color Space Technique 24 Pages.pdf - Submitted Version Download (443kB)

Abstract

This report is presents investigations of development out-of-plane of face detection using Speeded-Up Robust Technique (SURF) and skin color of YCbCr color space technique. In this research, the method of SURF and the skin color of YCbCr color space are developed. SURF technique is a new technique that usually used in C++, OpenCV and MATLAB software. Both techniques are used in order to compare the performance in terms of time response. SURF technique possess an extraction of SURF feature point and matching the point while skin color of YCbCr color space extract the skin region. All the results are presented within MATLAB 2013a software. Out-of-plane image are manipulated input to determine whether it can detect face area. Images are captured from 0°,45° and 90° to varying an out-of-plane images. It shows that SURF technique can detect the SURF feature point in different angles, but the matching point cannot detect if images in 45° and 90°. However, the skin color of YCbCr color space has given a better result to detect skin region of face in all angles. Besides that, the tone skin color of all respondents does not affect the result for both techniques.

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