In this paper, we explore a privacy algorithm that detects human private parts in a 3D scan dataset. The intrinsic human proportions are applied to reduce the search space by 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. 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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Laws, J., & Cai, Y. (2006). A privacy algorithm for 3D human body scans. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3994 LNCS-IV, pp. 870–877). Springer Verlag. https://doi.org/10.1007/11758549_116
Mendeley helps you to discover research relevant for your work.