Publications

@inproceedings{placitelliLowCostAugmentedReality2011,

title = {Low-Cost Augmented Reality Systems via 3D Point Cloud Sensors},

author = { Alessio Pierluigi Placitelli and Luigi Gallo},

doi = {10.1109/SITIS.2011.43},

isbn = {978-0-7695-4635-3},

year  = {2011},

date = {2011-12-01},

booktitle = {SITIS '11: Proceedings of the 7th International Conference on Signal Image Technology & Internet Based Systems},

pages = {188--192},

publisher = {IEEE Computer Society},

address = {Dijon - France},

abstract = {In this paper, we explore the use of widely available and low-priced 3D point cloud sensors, such as the Microsoft XBox Kinecttexttrademark and Asus Xtion PRO LIVEtexttrademark, in the application of computer-generated imagery in live-video streams in Augmented Reality (AR) systems. Specifically, we examine the typical pipeline of AR applications and explore the potential simplifications derived from the use of such devices during the calibration and registration steps, which are the most computationally expensive and time consuming. Moreover, we describe how to approach the problem of face alignment, that is the aligning of a previously captured model of a face to newly captured data, by using 3D point cloud data and open-source libraries.},

keywords = {Augmented Reality, Point cloud},

pubstate = {published},

tppubtype = {inproceedings}

}