|Title:||A Privacy Algorithm for 3D Human Body Scans|
|Authors:||Joseph Laws and Yang Cai|
|Publication Date:||February 1, 2006|
In this paper, we explore a privacy algorithm that can detect human private parts in a 3D scan dataset. The intrinsic human proportions are applied to reduce the search space an order of magnitude. A feature shape template is constructed to fit the model data points using Radial Basis Functions in a non-linear regression. The feature is then detected using the relative measurements of the height and area factors. The method is tested on 100 datasets from CAESER database.
Full Report: CMU-CyLab-06-001