A novel approach to automatic detection of interest points in multiple facial images

Year 2017, , 116 - 127, 15.05.2017

Bülent Bayram G. Çiğdem Çavdaroğlu , Dursun Zafer Şeker , Sıtkı Külür

https://doi.org/10.30897/ijegeo.312635

Cited By: 1

Abstract

The human face
includes different colors and forms due to its complexity. Therefore, facial
image processing comprises even more problems than image processing of other
objects. Interest point detection is one of the important problems in computer
vision, which is the key aspect of solving problems such as facial expression
analysis, age analysis, sex defining, facial recognition, and three-dimensional
face modelling in augmented reality. To accomplish these tasks, facial interest
points need automatic definition. A hybrid algorithm was developed to detect
automatically interest regions and points in multiple images in the resented
study. The study used processed facial images from an authorized image database
with a resolution of 1600 x 1200, taken in standardized illumination conditions
by using an InSpeck Mega Capturor II optical 3D structured light digitizer and
1000-W halogen lamp. The presented study integrated skin color analysis with
the Haar classification method, processing 11 male and 25 female facial images
with the developed algorithm. The average accuracy of facial interest point
detection was 0.68 mm after testing all images.

Keywords

Close-range photogrammetry, face recognition and facial interest points, image matching and processing

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