• 2.1. Keen tools installing
  • 2.2. Images data set building
  • Indonesian Journal of Electrical Engineering and Computer Science




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    3D face creation via 2D images within blender virt
    Ширин шаҳар Фарход махалласи1, Sebimli kitobim, Курилишни ташкил этиш ва режалаштириш фанидан мисол, HTML tili, 2019г, MB tittle, WS Sultan, qurilish xulosa fayli, yangi, qulf qo\'yish, mustaqil-ish(2), Информатика укитиш методикаси лаборатория машгулотлари Илясова Зухра, Информатика ўқитиш методикаси Закирова Ф, OPERATSION TIZIM
    2. 
    GENERAL STAGES PIPELINE 
    The way to create 3D human face inside Blinder is the same way to computer graphic pipeline used 
    in animation creation and virtual reality (VR) systems build. The pipeline theory means the output from 
    before stage is fed as the input of the next stage. These systems use to preparing of information to upgrade 
    the 3D face model rendering [10], as shown in Figure 2. 
    Figure 2. General stages pipeline for 3d face creation 
    2.1. Keen tools installing
    To construct a 3D character that necessities time and exertion may take numerous years. This in 
    itself is a futility that can be put resources into creating different activities in a similar field. Contingent upon 
    the present general setting, the client is allowed to intelligently creator a virtual environment (VE) [11]. For 
    this reason, the use of tools available to implement in Blinder software provides this exertion and furthermore 
    gives another open door for inventiveness in the liveliness business and computer-generated reality (VR) 
    applications. That there are circumstances that you don't have the opportunity to fabricate everything without 
    any preparation from scratch. The keen Tools Face builder is a tool for 3D modeling faces and heads based 
    on specific people or actors, developed add-on for Blender software. It is easy to utilize and gives quick and 
    astounding outcomes. Which can be installed from the Keen Tools Face Builder website. Keen Tools give a 
    3D head model that can be utilized geometry transformation, sculpting, rendering, animation, as shown in 
    Figure 3. 
    Figure 3. Keen tools face builder installation in blender 



    ISSN: 2502-4752 
    Indonesian J Elec Eng & Comp Sci, Vol. 21, No. 1, January 2021 : 457 - 464 
    460 
    2.2. Images data set building 
    The process of building 3D faces of a human being using 2D images within the Blinder virtual 
    environment (VE) requires several basic conditions that must be met in these images to achieve a high level 
    of performance and an ideal result. That is conditions and fundamental variables from it ought to be 
    accessible in Keen Tools Face builder. Which should be high-definition pictures, non- blurring, with high 
    sharpness and with dimensions of frame size 1920 x 1080 pixels. 
    The world is witnessing daily a large increase in the number of digital images with the increase in 
    digital cameras and the advancement of its technologies rapidly [12], with the widespread use of digital 
    cameras, many users take poor quality digital photos due to a lack of experience. It is the fundamental 
    thought in the obtaining of a blurry photo [13]. In addition to the process of capturing 2D images using these 
    digital devices, varying from the highest blur and less clear to the least blur and the highest sharpness and 
    clarity. Which relies on the person's association with cutting edge photography.
    Accordingly, Image Data Set was built containing 2D images of the same accuracy, but they differ 
    in clarity and blurring, according to the following: 
    a) 
    Use the free Image data set, from Open Visual FX Blog which contains seven images of the Actor – 
    Tim Delano at 1920 x 1080 pixel resolution, non- blurring and high sharpness. 
    b) 
    By using the ACDSee Photo Studio Ultimate application, four different blur operations ((a) Radial blur 
    [14], (b) Spread blur [15], (c) Smart blur [16], (d) Gaussian blur [17]), are applied to each of the original 
    7 images, which were explained before, and thus we have a new images data set consisting of 35 
    different images in blurry, sharpness and clarity photos, as shown in Figure 4. 
    Add a self-assertive number to a dataset of images. It will be promptly tried utilizing OpenCV 
    applications with the Python language. 
    Figure 4. Images data set contains original images (sharpness) and different blurry images 

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    Indonesian Journal of Electrical Engineering and Computer Science

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