added to lit review, fps/latency results

references.bib

@@ -299,6 +299,7 @@
 @online{arcore-unity,
 	author = {Google},
 	date = {2018-02-23},
+	organization = {Google},
 	title = {ARCore Unity SDK},
 	url = {https://github.com/google-ar/arcore-unity-sdk},
 	urldate = {2020-03-27}
@@ -452,3 +453,92 @@
 	year = {2005}
 }
 
+@article{visual-hull-laurentini,
+	author = {Laurentini, Aldo},
+	doi = {10.1109/34.273735},
+	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
+	journaltitle = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
+	month = feb,
+	number = {2},
+	pages = {150--162},
+	title = {The visual hull concept for silhouette-based image understanding},
+	url = {https://ieeexplore.ieee.org/abstract/document/273735},
+	urldate = {2020-05-06},
+	volume = {16},
+	year = {1994}
+}
+
+@inproceedings{cuda-visual-hull,
+	abstract = {In this paper we present two efficient GPU-based visual hull computation algorithms. We compare them in terms of performance using image sets of varying size and different voxel resolutions. In addition, we present a real-time 3D reconstruction system which uses the proposed GPU-based reconstruction method to achieve real-time performance (30 fps) using 16 cameras and 4 PCs.},
+	author = {{Ladikos}, A. and {Benhimane}, S. and {Navab}, N.},
+	booktitle = {2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
+	doi = {10.1109/CVPRW.2008.4563098},
+	isbn = {978-1-4244-2339-2},
+	issn = {2160-7508},
+	keywords = {computational geometry; image reconstruction; image resolution; visual hull computation; real-time 3D reconstruction; CUDA; GPU; image sets; voxel resolutions; real-time performance; Image reconstruction; Cameras; Real time systems; Reconstruction algorithms; Personal communication networks; Shape; Hardware; Image segmentation; Distributed computing; Computer science},
+	month = {June},
+	pages = {1--8},
+	publisher = {IEEE},
+	title = {Efficient visual hull computation for real-time 3D reconstruction using CUDA},
+	url = {https://ieeexplore.ieee.org/abstract/document/4563098},
+	urldate = {2020-05-06},
+	year = {2008}
+}
+
+@article{microsoft-mixed-reality-studios,
+	address = {New York, NY, USA},
+	articleno = {69},
+	author = {Collet, Alvaro and Chuang, Ming and Sweeney, Pat and Gillett, Don and Evseev, Dennis and Calabrese, David and Hoppe, Hugues and Kirk, Adam and Sullivan, Steve},
+	doi = {10.1145/2766945},
+	issn = {0730-0301},
+	issue_date = {August 2015},
+	journal = {ACM Trans. Graph.},
+	keywords = {MPEG; multi-view stereo; mesh tracking; 3D video; geometry compression; surface reconstruction},
+	month = jul,
+	number = {4},
+	numpages = {13},
+	publisher = {Association for Computing Machinery},
+	title = {High-Quality Streamable Free-Viewpoint Video},
+	url = {https://opdhsblobprod03.blob.core.windows.net/contents/503db294612a42b3b95420aaabac44cc/4090ebdf84f413793b8cc1a1271a10c5?sv=2018-03-28&sr=b&si=ReadPolicy&sig=WE0q8BmNHfMXk7lk1SvB8KuKBavTZn%2BXHdYzcNRFtDk%3D&st=2020-05-06T12%3A29%3A54Z&se=2020-05-07T12%3A39%3A54Z},
+	urldate = {2020-05-06},
+	volume = {34},
+	year = {2015}
+}
+
+@inproceedings{hull-correspondences,
+	author = {{Ahmed}, N. and {Theobalt}, C. and {Rossl}, C. and {Thrun}, S. and {Seidel}, H.},
+	booktitle = {2008 IEEE Conference on Computer Vision and Pattern Recognition},
+	doi = {10.1109/CVPR.2008.4587758},
+	isbn = {978-1-4244-2242-5},
+	issn = {1063-6919},
+	month = jun,
+	pages = {1--8},
+	title = {Dense correspondence finding for parametrization-free animation reconstruction from video},
+	url = {https://ieeexplore.ieee.org/abstract/document/4587758},
+	urldate = {2020-05-06},
+	year = {2008}
+}
+
+@article{surrey-surface-capture,
+	author = {{Starck}, J. and {Hilton}, A.},
+	doi = {10.1109/MCG.2007.68},
+	journal = {IEEE Computer Graphics and Applications},
+	number = {3},
+	pages = {21--31},
+	title = {Surface Capture for Performance-Based Animation},
+	url = {https://ieeexplore.ieee.org/abstract/document/4178157},
+	urldate = {2020-05-06},
+	volume = {27},
+	year = {2007}
+}
+
+@online{structure-sensor,
+	author = {Occipital},
+	month = sep,
+	organization = {Occipital},
+	title = {Structure Sensor},
+	url = {https://structure.io/structure-sensor},
+	urldate = {2020-05-06},
+	year = {2013}
+}
+