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Proceedings Paper

Personalization of Candide 3D model for human computer interfacing
Author(s): Putria Febriana; Władysław Skarbek
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Paper Abstract

This paper refers to the personalization of human head 3D model to be used as an element of human-computer interface (HCI). The distinctive personal features are extracted from each camera frame using Candide 3D model. Namely, for the selected face parts, 14 shape deformation units are specified. By nonlinear least square method, the parameters for the shape deformations are identified. The orthographic projection of Candide 3D points corresponding to on-line detected 68 facial landmarks is used to calculate error function. Statistical analysis proves that the shape deformation coefficients in majority of cases exhibit distrust value less than 0.5 and therefore they can be applied to adjust the Candide model in order to get the personalized model. The personalized model is crucial for improvements of other HCI application like face expression recognition.

Paper Details

Date Published: 1 October 2018
PDF: 8 pages
Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 1080807 (1 October 2018);
Show Author Affiliations
Putria Febriana, Warsaw Univ. of Technology (Poland)
Władysław Skarbek, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 10808:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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