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              <text>Elementary Methods for Generating Three-Dimensional Coordinate Estimation and Image Reconstruction from Series of Two-Dimensional Images</text>
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              <text>The increase in computational power in recent years has opened a new door for image processing techniques. Three-dimensional object recognition, identification, pose estimation, and mapping are becoming popular. The need for real-world objects to be mapped into three-dimensional spatial representation is greatly increasing, especially considering the heap jump we obtained in the past decade in virtual reality and augmented reality. This paper discusses an algorithm to convert an array of captured images into estimated 3D coordinates of their external mappings. Elementary methods for generating three-dimensional models are also discussed. This framework will help the community in estimating three-dimensional coordinates of a convex-shaped object from a series of two-dimension images. The built model could be further processed for increasing the resemblance of the input object in terms of its shapes, contour, and texture.   2021 Naived George Eapen et al.</text>
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              <text>Eapen N.G.; Samanta D.; Kaur M.; Al-Amri J.F.; Masud M.</text>
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              <text>Mathematical Problems in Engineering, Vol-2021</text>
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              <text>Hindawi Limited</text>
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              <text>2021-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1155/2021/9494368" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1155/2021/9494368&lt;/a&gt;
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              <text>All Open Access; Gold Open Access</text>
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              <text>ISSN: 1024123X</text>
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              <text>English</text>
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              <text>Eapen N.G., Department of Data Science, CHRIST (Deemed to Be University), Pune Lavasa Campus, Pune, India; Samanta D., Department of Computer Science, CHRIST Deemed to Be University, Bangalore, India; Kaur M., School of Engineering and Applied Sciences, Bennett University, Noida, India; Al-Amri J.F., Department of Information Technology, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif, 21944, Saudi Arabia; Masud M., Department of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif, 21944, Saudi Arabia</text>
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