A physically based facial skin model to simulate facial expressions on digitally scanned 3D models

2007-11-09
AKAGUNDUZ, Erdem
ULUSOY PARNAS, İLKAY
BOZKURT, Nesli
Halıcı, Uğur
In this paper we present a physically-based 3D facial skin model based on biomechanical properties of human facial anatomy. The skin model is mainly formed of two DNURBS surfaces as a two layered membrane structure. The model represents the soft tissue layer which covers the skull and is attached to the skull via muscle insertion points. The model is fitted on digitally scanned 3D facial surfaces and controlled via DNURBS control points, which are spatially close to muscle insertion points. The face (skin model) is modified by displacing control points to mimic muscle contraction in order to simulate facial expressions. The system is solved and the simulations are displayed on a graphics workstation, where near real-time performance is achieved as opposed to many other existing physically-based methods.
22nd International Symposium on Computer and Information Sciences

Suggestions

A virtual human animation tool using motion capture data
Nar, Selim; Çetin, Yasemin; Department of Medical Informatics (2008)
In this study, we developed an animation tool to animate 3D virtual characters. The tool offers facilities to integrate motion capture data with a 3D character mesh and animate the mesh by using Skeleton Subsurface Deformation and Dual Quaternion Skinning Methods. It is a compact tool, so it is possible to distribute, install and use the tool with ease. This tool can be used to illustrate medical kinematic gait data for educational purposes. For validation, we obtained medical motion capture data from two s...
A three-dimensional printed, polycaprolactone/hydrogel based, tissue engineered meniscus
Bahçecioğlu, Gökhan; Hasırcı, Vasıf Nejat; Hasırcı, Nesrin; Department of Biotechnology (2018)
Three dimensional (3D) printing has recently been in the spotlight of tissue engineering field, because it enables production of patient-specific tissue engineered scaffolds with desired shapes, porosities and pore sizes. In the current study, the aim was to develop a meniscal construct via tissue engineering that would serve as a functional replacement for the damaged tissues. The scaffold involves 3D printed polycaprolactone (PCL) structure embedded in different hydrogels; the hydrogel used at the inner r...
A Microwave Imaging Model for Biomedical Applications
ÖZGÜN, ÖZLEM; Kuzuoğlu, Mustafa (2017-07-14)
A microwave imaging model is presented for detection of breast cancer tissues by combining the finite element method and the transformation electromagnetics approach. An inverse scattering problem is formulated based on genetic optimization algorithm, and its expensive cost function evaluations are accelerated by using the transformation electromagnetics approach, which allows using a uniform or rectangular mesh even when irregular geometries are present inside the domain. Simulation results are demonstrate...
Automatic segmentation of human facial tissue by MRI-CT fusion: A feasibility study
Kale, Emre H.; Mumcuoğlu, Ünal Erkan; HAMCAN, Salih (2012-12-01)
The aim of this study was to develop automatic image segmentation methods to segment human facial tissue which contains very thin anatomic structures. The segmentation output can be used to construct a more realistic human face model for a variety of purposes like surgery planning, patient specific prosthesis design and facial expression simulation. Segmentation methods developed were based on Bayesian and Level Set frameworks, which were applied on three image types: magnetic resonance imaging (MRI), compu...
A New Decision Fusion Technique for Image Classification
Ozay, Mete; Vural, Fatos Tunay Yarman (2009-11-10)
In this study, we introduce a new image classification technique using decision fusion. The proposed technique, called Meta-Fuzzified Yield Value.(Meta-FYV), is based on two-layer Stacked Generalization (SG) architecture [1]. At the base-layer, the system, receives a set of feature vectors of various dimensions and dynamical ranges and outputs hypotheses through fuzzy transformations. Then, the hypotheses created by the base layer transformations are concatenated for building a regression equation at meta-l...
Citation Formats
E. AKAGUNDUZ, İ. ULUSOY PARNAS, N. BOZKURT, and U. Halıcı, “A physically based facial skin model to simulate facial expressions on digitally scanned 3D models,” presented at the 22nd International Symposium on Computer and Information Sciences, Ankara, TURKEY, 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56035.