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Indonesian Journal of Electrical Engineering and Computer ScienceBog'liq 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 TIZIM7.
CONCLUSION
Building a 3D model of faces within the Blinder virtual environment (VE) using Keen Tools Face
builder requires several 2D images of a specific character. These pictures should be non- blurring with high
sharpness and accuracy. This is a major problem, that 3D face model designers may encounter using these
tools, especially that the human eye cannot achieve this distinction with high accuracy because the
photographer may be amateur or unprofessional. After that built data set for 2D images of different blurring a
(four types of blurry) and sharpness, and give the data set a random index number. Supposed it was a group
of pictures taken from an individual utilizing a computerized camera. In this paper proposed using the
Laplacian Filter algorithm with OpenCV applications using the Python programming language, to get rid of
2D images with blurring and the survival of images with high sharpness, which achieved high and real results
in isolating and neglecting blurry images and the use of high sharpness images in building models for 3D
faces. Performing engineering operations on faces in the selected 2D images using a wireframe panel with
pins, a 3D face model was produced.
REFERENCES
[1]
M. Raees and S. Ullah, “DOP: Discover Objects and Paths, a model for automated navigation and selection in
virtual environments,” Turkish J. Electr. Eng. Comput. Sci., vol. 27, no. 4, pp. 2784-2797, 2019.
[2]
H. Izwan Rahmat, S. Ahmad, and M. Ismail, “Collaborative virtual reality application for interior design,” Indones.
J. Electr. Eng. Comput. Sci. (IJEECS), vol. 16, no. 1, p. 500, 2019, doi: 10.11591/ijeecs.v16.i1.pp500-507.
[3]
F. Alecu, “Blender Institute–the Institute for Open 3D Projects,” Open Source Sci. J., vol. 2, no. 1, pp. 36-45, 2010.
[4]
K. Tabassum, “Using wireless and mobile technologies to enhance teaching and learning strategies,” Indones. J.
Electr. Eng. Comput. Sci (IJEECS)., vol. 17, no. 3, pp. 1555-1561, 2020, doi: 10.11591/ijeecs.v17.i3.pp1555-1561.
[5]
S. Nasir, M. N. Zahid, T. A. Khan, K. Kadir, and S. Khan, “Augmented reality an economical solution for
engineers and designers,” Indones. J. Electr. Eng. Comput. Sci. (IJEECS), vol. 17, no. 2, pp. 833-844, 2019, doi:
10.11591/ijeecs.v17.i2.pp834-844.
[6]
Ö. BAŞER and E. I. Konukseven, “7-DOF Haptic device and interface design,” Turkish J. Electr. Eng. Comput.
Sci., vol. 21, no. 2, pp. 493-499, 2013.
[7]
R. Gupta, R. Nawani, and V. P. Talreja, “Virtual Reality Content Creation using Unity 3D and Blender,” Int. J.
Comput. Appl., vol. 156, no. 3, pp. 8-12, 2016.
[8]
E. ERTUĞRUL, Z. Baytar, Ç. ÇATAL, and Ö. C. A. N. MURATLI, “Performance tuning for machine learning-
based software development effort prediction models,” Turkish J. Electr. Eng. Comput. Sci., vol. 27, no. 2, pp.
1308-1324, 2019.
[9]
V. K. Balasubramanian and K. Manavalan, “Knowledge-based genetic algorithm approach to quantization table
generation for the JPEG baseline algorithm,” Turkish J. Electr. Eng. Comput. Sci., vol. 24, no. 3, pp. 1615-1635, 2016.
[10] H. Gümüşkaya and B. Örencik, “A parallel pipelined computer architecture for digital signal processing,” Turkish
J. Electr. Eng. Comput. Sci., vol. 6, no. 2, pp. 107-130, 1999.
[11] D.-M. Popovici, C.-M. Bogdan, M. Polceanu, and R. Querrec, “Applying of an ontology based modeling approach
to cultural heritage systems,” Adv. Electr. Comput. Eng., vol. 11, no. 3, pp. 105-110, 2011.
[12] R. Bansal, G. Raj, and T. Choudhury, “Blur image detection using Laplacian operator and Open-CV,” in 2016
International Conference System Modeling & Advancement in Research Trends (SMART), pp. 63-67, 2016.
[13] H. Tong, M. Li, H. Zhang, and C. Zhang, “Blur detection for digital images using wavelet transform,” in 2004
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