withyou—An Experimental End-to-End Telepresence System Using Video-Based Reconstruction
- Submitting institution
-
Manchester Metropolitan University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2396
- Type
- D - Journal article
- DOI
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10.1109/JSTSP.2015.2402635
- Title of journal
- IEEE Journal of Selected Topics in Signal Processing
- Article number
- -
- First page
- 562
- Volume
- 9
- Issue
- 3
- ISSN
- 1932-4553
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
8
- Research group(s)
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C - Machine Intelligence
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper presents a viable, working end-to-end video-based reconstruction system and platform for high performance CPU/GPU 3D collaboration in immersive virtual environments. Citations present this as a foundational work for improved spatial communication in mixed reality collaboration. The paper is referenced in the Encyclopaedia of Computer Graphics and Games (downloaded more than 55k times). The paper led to the immersive telepresence contribution to the €3,000,000 EU FP7 Crossdrive project (Ref: 607177) and four subsequent PhD projects. Principles defined for GPU based 3D reconstruction influenced further research in medical imaging (3D medical reconstruction, 3D image enhancement, tumour segmentation and classification).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -