# Real-Time 3D Reconstruction Method for Holographic Telepresence
## 5 Conclusions  
Over the years, people have tried to advance the development of 3D reconstruction with different innovations and technologies such as telepresence. This paper presents the marching cube algorithm in a real-time 3D reconstruction and integrates it with 3D telepresence technology. Firstly, this paper introduced 3D reconstruction for the telepresence system and discussed a few related works. Each process in the 3D reconstruction, which includes the data acquisition, the removing of the background, and the extracting of the point cloud, which was then used later to generate the surface and applied texture mapping of the local user in real-time, has been explained in this paper. The study also presented an application to implement the proposed method and framework. The application used to test our 3D reconstruction to run real-time in holographic display. The process explained in this article has shown that the 3D reconstruction of a user can be generated using commodity RGB-D cameras integrated with a telepresence system which can benefit the remote user when the 3D representation of the local user is displayed in the Z-hologram, which can be perceived in 3D. In conclusion, in this paper we have examined the flow of the 3D reconstruction method. The method involved several processes, which include the capturing and data acquisition from the depth sensor, the background removal, and the point cloud extraction. The surface generation process using the Marching Cube algorithm has been explained in this paper before the process ended with texture mapping. Based on the results, the real-time 3D reconstruction that employed the marching cube algorithm to generate 3D human representation has been successfully merged with the telepresence system and displayed at the remote location. However, the communication cues and flow have not yet been covered in this paper. For future works we plan on extending our work using holographic projection using a projector-based device to display the resulting 3D reconstruction output to emphasize the 3D telepresence more. We also plan to perform an evaluation to measure the accuracy and the quality of point cloud data. The results regarding the network requirements such as the delay would be areas of our future investigation. Therefore, we conclude that this paper has presented 3D telepresence with communication features by using a holographic projection as a display. As highlighted in this paper, the processes in producing the real-time 3D reconstruction consists of data acquisition, background removal, point cloud extraction, and surface generation which applies a Marching Cube algorithm as a final output. Conceptualization, F.E.F. and A.W.I. ; methodology F.E.F. and A.W.I. ; software, M.N.A.N., F.E.F. and S.A.K.I. ; validation, A.W.I., M.Y.F.A. and M.N.A.N. ; formal analysis, F.E.F., A.W.I., S.A.K.I. and M.N.A.N. ; investigation F.E.F., M.N.A.N., M.Y.F.A. and S.A.K.I. ; resources, F.E.F., A.W.I. and S.A.K.I. ; data curation, F.E.F. and S.A.K.I. ; writing--original draft preparation, F.E.F. ; writing--review and editing, F.E.F. and A.W.I. ; visualization F.E.F., M.N.A.N. and S.A.K.I. ; supervision, A.W.I. ; project administration, A.W.I. ; funding acquisition, A.W.I. and F.E.F. All authors have read and agreed to the published version of the manuscript. This work was funded by Fundamental Research Grant Scheme by Ministry of Higher Education Malaysia VOT RJ130000.7851.5F401. Informed Consent StatementInformed consent was obtained from the subject involved in the study who is one of this article authors.