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Triangle Wise Mapping Technique to Transform one Face Image into Another Face Image

by Rustam Ali Ahmed, Bhogeswar Borah
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 6
Year of Publication: 2014
Authors: Rustam Ali Ahmed, Bhogeswar Borah
10.5120/15209-3714

Rustam Ali Ahmed, Bhogeswar Borah . Triangle Wise Mapping Technique to Transform one Face Image into Another Face Image. International Journal of Computer Applications. 87, 6 ( February 2014), 1-8. DOI=10.5120/15209-3714

@article{ 10.5120/15209-3714,
author = { Rustam Ali Ahmed, Bhogeswar Borah },
title = { Triangle Wise Mapping Technique to Transform one Face Image into Another Face Image },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 6 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number6/15209-3714/ },
doi = { 10.5120/15209-3714 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:05:10.837774+05:30
%A Rustam Ali Ahmed
%A Bhogeswar Borah
%T Triangle Wise Mapping Technique to Transform one Face Image into Another Face Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 6
%P 1-8
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes a triangle based algorithm to transform a source image into a target image. In this paper, a digital source face image is mapped to a target face image to transform the shape of source into the target. This work is done with six steps. The initial step of the stated algorithm takes source and destination face images as input from the specified location or through the webcam. The second step deals with finding the 68 landmark points of input images for tracking the features such as eyes, mouth, nose, lips, ears and face. The third step generates proposed 116 nos of nonoverlapping triangles from 68 landmark points (which has been found in the second step) for both the input face images. In forth step one mapping link is established between the each pair of corresponding proposed 116 triangles of both the images. Then these pairs of triangles are divided on the basis of given threshold value of the in-radius of the triangles pairs. In this step a set of smallest subtriangles are found in the last label for the triangle pairs. In fifth step each pair of smallest sub-triangles are mapped with pixels from source face image to destination face image and then generate intermediate image with color interpolation. The sixth step is the process of assembling the 116 nos of triangles to generate the resultant face image in the shape of target face image. The results show that the proposed approach is simple and takes less time to transform the source image.

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Index Terms

Computer Science
Information Sciences

Keywords

Image morphing warping triangle wise mapping mesh deformation triangular mesh deformation

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