Abstract
The computer vision and augmented reality industry focuses on reconstructing the 3D view of an object with the goal of improving visual effects. There are various applications that require 3D models such as street view, film industry, sports industry. 3D models cannot be captured directly using video or still cameras. Cameras are capable of obtaining high-quality 2D images at different angles. This paper will discuss about how the 2D images captured from various camera are converted using in-depth analysis to obtain a 3D view of an object or image. The last received 3D visual input is a dense reconstruction of the 2D image. This reconstruction method is less complex than traditional mathematical modeling methods. This technique can be easily integrated into any application domains such as 3D, such as facial reconstruction.
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Dominic, D., Balachandran, K. (2021). 3D Image Conversion of a Scene from Multiple 2D Images with Background Depth Profile. In: Goyal, D., Chaturvedi, P., Nagar, A.K., Purohit, S. (eds) Proceedings of Second International Conference on Smart Energy and Communication. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-6707-0_15
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DOI: https://doi.org/10.1007/978-981-15-6707-0_15
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