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2006

Feature hiding in 3D human body scans

10 years 2 months ago
Feature hiding in 3D human body scans
In this paper, we explore a privacy algorithm that detects human private parts in a 3D scan data set. The analogia graph is introduced to study the proportion of structures. The intrinsic human proportions are applied to reduce the search space in an order of magnitude. A feature shape template is constructed to match the model data points using Radial Basis Functions in a non-linear regression and the relative measurements of the height and area factors. The method is tested on 100 data sets from CAESAR database. Two surface rendering methods are studied for data privacy: blurring and transparency. It is found that test subjects normally prefer to have the most possible privacy in both rendering methods. However, the subjects adjusted their privacy measurement to a certain degree as they were informed of the context of security. Information Visualization (2006) 5, 271--278. doi:10.1057/palgrave.ivs.9500136
Joseph Laws, Nathaniel Bauernfeind, Yang Cai 0002
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where IVS
Authors Joseph Laws, Nathaniel Bauernfeind, Yang Cai 0002
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