Authors:
Daniel Trevisan Bravo
and
Sergio Roberto Matiello Pellegrino
Affiliation:
Instituto Tecnológico de Aeronáutica, Brazil
Keyword(s):
Facial features extraction, digital image processing and computer graphics.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Fundamental Methods and Algorithms
;
Geometry and Modeling
;
Image-Based Modeling
;
Modeling and Algorithms
;
Pattern Recognition
;
Software Engineering
Abstract:
The extraction of facial characteristics is important for several applications that involve the 3D reconstruction and facial recognition. In general, facial modelling applications based on 2D images for create 3D model needs, after all, to prepare the extraction images looking for the facial features. In this paper we show some procedures to calibrate and make corrections between two distinct images acquired in distinct instants (the frontal and outline). The aim of this study is to work with human faces, so we use well kwon characteristics like eyes position, mouth, nose curvature, etc. to take previous knowledge about some features and take it to help us to find automatically secondary characteristics for 3D human face. Although this approach makes the process faster, it also imposes restrictions to the model that, however, does not disable its execution in most of cases.