3D Stereoscopy Video Production: Z-Depth Extraction and Optimized Rendering using Foundry Nuke
Abhishek Kumar1, Achintya Singhal2, Jitendra Sheetlani3

1Abhishek Kumar*, Assistant Professor, Department of Computer Science, Institute of Science, Banaras Hindu University, Uttar Pradesh, India.
2Achintya Singhal, Associate Professor, Department of Computer Science, Institute of Science, Banaras Hindu University, Uttar Pradesh, India.
3Jitendra Sheetlani, Dean, School of Computer Application, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Madhya Pradesh, India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 6658-6663 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1926109119/2019©BEIESP | DOI: 10.35940/ijeat.A1926.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper proposed an effective and efficient 3D stereo Video production methodology for Stereo conversion of any image or video using the 3D compositing tool Foundry Nuke. For efficient S3D conversion, there are several pipelines uses by video production engineer into the industry. There are several technical issues during the 3D stereo production like spilling, reflection, translucency, occlusion, flickering and noise problems as well due to imperfect calibration. This paper presents a theoretical explanation of the principles of stereo vision systems, followed by a quick review of the state of the art. The research paper concludes with validating the assumption of 3D stereoscopy video conversion with film case studies to execute high-end 3d stereo video production quality with roto-based depth map extraction with optimized render conversion methodology.
Keywords: Stereoscopy, Video Production, Rotoscopy, Depth map.