%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2016/09.09.19.48
%2 sid.inpe.br/sibgrapi/2016/09.09.19.48.01
%T Construction of a Spatio-Temporal Face Atlas: Experiments Using Down Syndrome Samples
%D 2016
%A Xavier, Igor Radames Rodrigues,
%A Giraldi, Gilson,
%A Gibson, Stuart,
%A Gattas, Gilka Jorge Figaro,
%A Rueckert, Daniel,
%A Thomaz, Carlos Eduardo,
%@affiliation Department of Eletrical Engineering, FEI, Sao Paulo, Brazil
%@affiliation Department of Computer Science, LNCC, Rio de Janeiro, Brazil
%@affiliation School of Physical Sciences, University of Kent, UK
%@affiliation Department of Forensic Medicine, USP, Sao Paulo, Brazil
%@affiliation Department of Computing, Imperial College London, UK
%@affiliation Department of Eletrical Engineering, FEI, Sao Paulo, Brazil
%E Aliaga, Daniel G.,
%E Davis, Larry S.,
%E Farias, Ricardo C.,
%E Fernandes, Leandro A. F.,
%E Gibson, Stuart J.,
%E Giraldi, Gilson A.,
%E Gois, João Paulo,
%E Maciel, Anderson,
%E Menotti, David,
%E Miranda, Paulo A. V.,
%E Musse, Soraia,
%E Namikawa, Laercio,
%E Pamplona, Mauricio,
%E Papa, João Paulo,
%E Santos, Jefersson dos,
%E Schwartz, William Robson,
%E Thomaz, Carlos E.,
%B Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)
%C São José dos Campos, SP, Brazil
%8 4-7 Oct. 2016
%I Sociedade Brasileira de Computação
%J Porto Alegre
%S Proceedings
%K Face Composition, Spatio-temporal Atlases, Face Processing.
%X This work describes a method for constructing a spatio-temporal face atlas based on pairwise non-rigid registration and kernel regression in order to explicitly consider the craniofacial differences that could exist across the time due to the subjects growth. The whole pipeline includes the following steps: (a) Facial Landmarks Positioning; (b) Sample Group Equalization and Kernel Interpolation; (c) Registration; (d) Atlas Construction. Our experiments on Down Syndrome face images show that the method generates realistic and unbiased face atlases from toddlers to teens.
%@language en
%3 paper10.pdf