Indonesian Journal of Electrical Engineering and Computer Science
Vol. 21, No. 1, January 2021, pp. 457~464
ISSN: 2502-4752, DOI: 10.11591/ijeecs.v21.i1. pp457-464
457
Journal homepage: http://ijeecs.iaescore.com
3D face creation via 2D images within blender virtual
environment
Ali Salim Rasheed, Rasool Hasan Finjan, Ahmed Abdulsahib Hashim, Mustafa Murtdha Al-Saeedi
Department of Media Technology Engineering, College of Engineering, University of Information Technology and
Communications, Baghdad, Iraq
Article Info
ABSTRACT
Article history:
Received May 22, 2020
Revised Jul 25, 2020
Accepted Aug 14, 2020
Animation and virtual reality movie-making technologies are still witnessing
significant progress to this day. Building and stimulating
virtual characters
inside these applications is a goal. Build a 3D
face via using some special
tools inside the virtual world is the most important part of identifying a 3D
animation. Keen Tools Face Builder add-on for Blender.
Interested in
creating a 3D face of a famous figure, artist or the general public by adopting
several 2D images added to the virtual blinder software environment. The
main problem facing these tools is that they deal
with high-resolution and
sharpness pictures because some images that contain blurring, the result is to
build a 3D face model that contains design distortions and non- clearly. in
this
proposed paper, build a data set for 2D pictures
of a specific character
(actor), at a resolution of 1920 x 1080 pixels. These images were caught by
the camera, different in sharpness and blurring (four types of blurry). Using
the “Laplacian Filter algorithm” and OpenCV Library with Python language,
to isolate blurry from sharpness 2D images. Sharpness images used to build a
3D face model that gave real and similar results
to the character in the
pictures.
Keywords:
Blender
Laplacian filter
Python
Virtual environment
Virtual reality
This is an open access article under the
CC BY-SA
license.
