Photo-Realistic 3D Models and Animations for Video Games and Films
DOI:
https://doi.org/10.18034/ei.v9i2.668Keywords:
Three Dimension, Animation, Modeling, Rendering, Keyframe, GamesAbstract
Realistic 3D objects are challenging to create. A detailed creation requires care if we can make remarkable detail and realism using techniques and a solid reference photo. In this post, we may learn how to construct beautiful, realistic scene objects using comprehensive procedures. This article shows how to use the Pen Tool and Blending Options to create a 3D animated scene. This work teaches simple Layer Styles to create beautiful shadows, lights, textures, and a realistic 3D feel. This work also shows how attractive illumination and rendering options may produce a natural scene. This article also shows how to make photo-realistic 3D models from digital images. This work teaches Illustrator pathways, texturing, essential lighting and rendering, texture application, and building and object parenting. This approach might even reconstruct tiny features or 3D items from 2D images. After a critical art stage, we can present the architecture of an animation design technique in this article. The goal is a conceptual and methodological lesson to approach this topic scientifically and practically. This goal also includes developing a scientifically sound paradigm to help comprehend realistic animation processes.
Downloads
References
Avramescu, A. M. (2015). Creating Photo-Realistic Works in a 3D Scene Using Layers Styles to Create an Animation. IOP Conference Series. Materials Science and Engineering, 95(1). https://doi.org/10.1088/1757-899X/95/1/012115 DOI: https://doi.org/10.1088/1757-899X/95/1/012115
Ballamudi, V. K. R. (2016). Utilization of Machine Learning in a Responsible Manner in the Healthcare Sector. Malaysian Journal of Medical and Biological Research, 3(2), 117-122. https://mjmbr.my/index.php/mjmbr/article/view/677
Ballamudi, V. K. R. (2019a). Artificial Intelligence: Implication on Management. Global Disclosure of Economics and Business, 8(2), 105-118. https://doi.org/10.18034/gdeb.v8i2.540 DOI: https://doi.org/10.18034/gdeb.v8i2.540
Ballamudi, V. K. R. (2019b). Road Accident Analysis and Prediction using Machine Learning Algorithmic Approaches. Asian Journal of Humanity, Art and Literature, 6(2), 185-192. https://doi.org/10.18034/ajhal.v6i2.529 DOI: https://doi.org/10.18034/ajhal.v6i2.529
Ballamudi, V. K. R. (2019c). Hybrid Automata: An Algorithmic Approach Behavioral Hybrid Systems. Asia Pacific Journal of Energy and Environment, 6(2), 83-90. https://doi.org/10.18034/apjee.v6i2.541 DOI: https://doi.org/10.18034/apjee.v6i2.541
Ballamudi, V. K. R. (2020). Militarization of Space. Asian Journal of Applied Science and Engineering, 9(1), 169–178. https://doi.org/10.18034/ajase.v9i1.38 DOI: https://doi.org/10.18034/ajase.v9i1.38
Ballamudi, V. K. R., & Desamsetti, H. (2017). Security and Privacy in Cloud Computing: Challenges and Opportunities. American Journal of Trade and Policy, 4(3), 129–136. https://doi.org/10.18034/ajtp.v4i3.667 DOI: https://doi.org/10.18034/ajtp.v4i3.667
Ballamudi, V. K. R., Lal, K., Desamsetti, H., & Dekkati, S. (2021). Getting Started Modern Web Development with Next.js: An Indispensable React Framework. Digitalization &Amp; Sustainability Review, 1(1), 1–11. https://upright.pub/index.php/dsr/article/view/83
Bodepudi, A., Reddy, M., Gutlapalli, S. S., & Mandapuram, M. (2019). Voice Recognition Systems in the Cloud Networks: Has It Reached Its Full Potential?. Asian Journal of Applied Science and Engineering, 8(1), 51–60. https://doi.org/10.18034/ajase.v8i1.12 DOI: https://doi.org/10.18034/ajase.v8i1.12
Chen, S., Thaduri, U. R., & Ballamudi, V. K. R. (2019). Front-End Development in React: An Overview. Engineering International, 7(2), 117–126. https://doi.org/10.18034/ei.v7i2.662 DOI: https://doi.org/10.18034/ei.v7i2.662
Dekkati, S., & Thaduri, U. R. (2017). Innovative Method for the Prediction of Software Defects Based on Class Imbalance Datasets. Technology & Management Review, 2, 1–5. https://upright.pub/index.php/tmr/article/view/78
Dekkati, S., Lal, K., & Desamsetti, H. (2019). React Native for Android: Cross-Platform Mobile Application Development. Global Disclosure of Economics and Business, 8(2), 153-164. https://doi.org/10.18034/gdeb.v8i2.696 DOI: https://doi.org/10.18034/gdeb.v8i2.696
Deming, C., Dekkati, S., & Desamsetti, H. (2018). Exploratory Data Analysis and Visualization for Business Analytics. Asian Journal of Applied Science and Engineering, 7(1), 93–100. https://doi.org/10.18034/ajase.v7i1.53 DOI: https://doi.org/10.18034/ajase.v7i1.53
Desamsetti, H. (2016a). A Fused Homomorphic Encryption Technique to Increase Secure Data Storage in Cloud Based Systems. The International Journal of Science & Technoledge, 4(10), 151-155.
Desamsetti, H. (2016b). Issues with the Cloud Computing Technology. International Research Journal of Engineering and Technology (IRJET), 3(5), 321-323.
Desamsetti, H. (2018). Internet of Things (IoT) Technology for Use as Part of the Development of Smart Home Systems. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 14–21. https://upright.pub/index.php/ijrstp/article/view/89
Desamsetti, H. (2020). Relational Database Management Systems in Business and Organization Strategies. Global Disclosure of Economics and Business, 9(2), 151-162. https://doi.org/10.18034/gdeb.v9i2.700 DOI: https://doi.org/10.18034/gdeb.v9i2.700
Desamsetti, H., & Lal, K. (2019). Being a Realistic Master: Creating Props and Environments Design for AAA Games. Asian Journal of Humanity, Art and Literature, 6(2), 193-202. https://doi.org/10.18034/ajhal.v6i2.701 DOI: https://doi.org/10.18034/ajhal.v6i2.701
Desamsetti, H., & Mandapuram, M. (2017). A Review of Meta-Model Designed for the Model-Based Testing Technique. Engineering International, 5(2), 107–110. https://doi.org/10.18034/ei.v5i2.661 DOI: https://doi.org/10.18034/ei.v5i2.661
Ferreira, L., Cruz, L. A. d. S., Assuncao, P. (2016). Towards Keyframe Extraction Methods for 3D Video: A Review. EURASIP Journal on Image and Video Processing, 2016, 1-19. https://doi.org/10.1186/s13640-016-0131-8 DOI: https://doi.org/10.1186/s13640-016-0131-8
Gao, X. R. (2013). 3D Animation Technologies and Efficiency. Applied Mechanics and Materials, 421, 681-684. https://doi.org/10.4028/www.scientific.net/AMM.421.681 DOI: https://doi.org/10.4028/www.scientific.net/AMM.421.681
Gao, X. R. (2013). Research of Efficiency of Computer 3D Animation. Applied Mechanics and Materials, 421, 672-675. https://doi.org/10.4028/www.scientific.net/AMM.421.672 DOI: https://doi.org/10.4028/www.scientific.net/AMM.421.672
Gutlapalli, S. S. (2016). Commercial Applications of Blockchain and Distributed Ledger Technology. Engineering International, 4(2), 89–94. https://doi.org/10.18034/ei.v4i2.653 DOI: https://doi.org/10.18034/ei.v4i2.653
Gutlapalli, S. S. (2017a). An Early Cautionary Scan of the Security Risks of the Internet of Things. Asian Journal of Applied Science and Engineering, 6, 163–168. Retrieved from https://ajase.net/article/view/14
Gutlapalli, S. S. (2017b). The Role of Deep Learning in the Fourth Industrial Revolution: A Digital Transformation Approach. Asian Accounting and Auditing Advancement, 8(1), 52–56. Retrieved from https://4ajournal.com/article/view/77
Gutlapalli, S. S., Mandapuram, M., Reddy, M., & Bodepudi, A. (2019). Evaluation of Hospital Information Systems (HIS) in terms of their Suitability for Tasks. Malaysian Journal of Medical and Biological Research, 6(2), 143–150. https://doi.org/10.18034/mjmbr.v6i2.661 DOI: https://doi.org/10.18034/mjmbr.v6i2.661
Ji, Y., Liu, Y. (2016). Development of Intelligent Teaching System Based on 3D Technology in the Course of Digital Animation Production. International Journal of Emerging Technologies in Learning (Online), 11(9), 81-86. https://doi.org/10.3991/ijet.v11i09.6116 DOI: https://doi.org/10.3991/ijet.v11i09.6116
Koehler, S., Desamsetti, H., Ballamudi, V. K. R., & Dekkati, S. (2020). Real World Applications of Cloud Computing: Architecture, Reasons for Using, and Challenges. Asia Pacific Journal of Energy and Environment, 7(2), 93-102. https://doi.org/10.18034/apjee.v7i2.698 DOI: https://doi.org/10.18034/apjee.v7i2.698
Lal, K. (2015). How Does Cloud Infrastructure Work?. Asia Pacific Journal of Energy and Environment, 2(2), 61-64. https://doi.org/10.18034/apjee.v2i2.697 DOI: https://doi.org/10.18034/apjee.v2i2.697
Lal, K. (2016). Impact of Multi-Cloud Infrastructure on Business Organizations to Use Cloud Platforms to Fulfill Their Cloud Needs. American Journal of Trade and Policy, 3(3), 121–126. https://doi.org/10.18034/ajtp.v3i3.663 DOI: https://doi.org/10.18034/ajtp.v3i3.663
Lal, K., & Ballamudi, V. K. R. (2017). Unlock Data’s Full Potential with Segment: A Cloud Data Integration Approach. Technology & Management Review, 2(1), 6–12. https://upright.pub/index.php/tmr/article/view/80
Lal, K., Ballamudi, V. K. R., & Thaduri, U. R. (2018). Exploiting the Potential of Artificial Intelligence in Decision Support Systems. ABC Journal of Advanced Research, 7(2), 131-138. https://doi.org/10.18034/abcjar.v7i2.695 DOI: https://doi.org/10.18034/abcjar.v7i2.695
Lin, D. W., Chen, Y. S., Hsu, Y. L., Chang, P. L., Yang, D. S. (2013). The Application of Digital Ink Painting in 3D Animation. Applied Mechanics and Materials, 311, 322-327. https://doi.org/10.4028/www.scientific.net/AMM.311.322 DOI: https://doi.org/10.4028/www.scientific.net/AMM.311.322
Mandapuram, M., & Hosen, M. F. (2018). The Object-Oriented Database Management System versus the Relational Database Management System: A Comparison. Global Disclosure of Economics and Business, 7(2), 89–96. https://doi.org/10.18034/gdeb.v7i2.657 DOI: https://doi.org/10.18034/gdeb.v7i2.657
Mandapuram, M., Gutlapalli, S. S., Bodepudi, A., & Reddy, M. (2018). Investigating the Prospects of Generative Artificial Intelligence. Asian Journal of Humanity, Art and Literature, 5(2), 167–174. https://doi.org/10.18034/ajhal.v5i2.659 DOI: https://doi.org/10.18034/ajhal.v5i2.659
Mandapuram, M., Gutlapalli, S. S., Reddy, M., Bodepudi, A. (2020). Application of Artificial Intelligence (AI) Technologies to Accelerate Market Segmentation. Global Disclosure of Economics and Business 9(2), 141–150. https://doi.org/10.18034/gdeb.v9i2.662 DOI: https://doi.org/10.18034/gdeb.v9i2.662
Meng, W., Guo, J., Bonaventura, X., Sbert, M., Zhang, X. (2017). Shape Exploration of 3D Heterogeneous Models Based on Cages. Multimedia Tools and Applications, 76(10), 12369-12390. https://doi.org/10.1007/s11042-016-3642-5 DOI: https://doi.org/10.1007/s11042-016-3642-5
Reddy, M., Bodepudi, A., Mandapuram, M., & Gutlapalli, S. S. (2020). Face Detection and Recognition Techniques through the Cloud Network: An Exploratory Study. ABC Journal of Advanced Research, 9(2), 103–114. https://doi.org/10.18034/abcjar.v9i2.660 DOI: https://doi.org/10.18034/abcjar.v9i2.660
Sekeroglu, G. K. (2012). Aesthetics and Design in Three-Dimensional Animation Process. Procedia - Social and Behavioral Sciences, 51, 812-817. https://doi.org/10.1016/j.sbspro.2012.08.245 DOI: https://doi.org/10.1016/j.sbspro.2012.08.245
Sun, S., Ge, C. (2014). A New Method of 3D Facial Expression Animation. Journal of Applied Mathematics, 2014. https://doi.org/10.1155/2014/706159 DOI: https://doi.org/10.1155/2014/706159
Thaduri, U. R., & Lal, K. (2020). Making a Dynamic Website: A Simple JavaScript Guide. Technology & Management Review, 5, 15–27. https://upright.pub/index.php/tmr/article/view/81
Thaduri, U. R., Ballamudi, V. K. R., Dekkati, S., & Mandapuram, M. (2016). Making the Cloud Adoption Decisions: Gaining Advantages from Taking an Integrated Approach. International Journal of Reciprocal Symmetry and Theoretical Physics, 3, 11–16. https://upright.pub/index.php/ijrstp/article/view/77
Thodupunori, S. R., & Gutlapalli, S. S. (2018). Overview of LeOra Software: A Statistical Tool for Decision Makers. Technology & Management Review, 3(1), 7–11.
Yu, L., Yu, J., Wang, Z. (2017). A Realistic 3D Articulatory Animation System for Emotional Visual Pronunciation. Multimedia Tools and Applications, 76(18), 19241-19262. https://doi.org/10.1007/s11042-017-4578-0 DOI: https://doi.org/10.1007/s11042-017-4578-0
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Md Saikat Hosen, Upendar Rao Thaduri, Venkata Koteswara Rao Ballamudi, Karu Lal
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Engineering International is an Open Access journal. Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a CC BY-NC 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of their work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal. We require authors to inform us of any instances of re-publication.
