3 research outputs found
A new method for generic three dimensional human face modelling for emotional bio-robots
Existing 3D human face modelling methods are confronted with difficulties in
applying flexible control over all facial features and generating a great number of
different face models. The gap between the existing methods and the requirements of
emotional bio-robots applications urges the creation of a generic 3D human face
model. This thesis focuses on proposing and developing two new methods involved
in the research of emotional bio-robots: face detection in complex background
images based on skin colour model and establishment of a generic 3D human face
model based on NURBS. The contributions of this thesis are:
A new skin colour based face detection method has been proposed and
developed. The new method consists of skin colour model for skin regions
detection and geometric rules for distinguishing faces from detected regions. By
comparing to other previous methods, the new method achieved better results of
detection rate of 86.15% and detection speed of 0.4-1.2 seconds without any
training datasets.
A generic 3D human face modelling method is proposed and developed. This
generic parametric face model has the abilities of flexible control over all facial
features and generating various face models for different applications. It includes:
The segmentation of a human face of 21 surface features. These surfaces have
34 boundary curves. This feature-based segmentation enables the independent
manipulation of different geometrical regions of human face.
The NURBS curve face model and NURBS surface face model. These two
models are built up based on cubic NURBS reverse computation. The
elements of the curve model and surface model can be manipulated to change
the appearances of the models by their parameters which are obtained by
NURBS reverse computation.
A new 3D human face modelling method has been proposed and implemented
based on bi-cubic NURBS through analysing the characteristic features and
boundary conditions of NURBS techniques. This model can be manipulated
through control points on the NURBS facial features to build any specific
face models for any kind of appearances and to simulate dynamic facial
expressions for various applications such as emotional bio-robots, aesthetic
surgery, films and games, and crime investigation and prevention, etc