63 research outputs found
Geometric Expression Invariant 3D Face Recognition using Statistical Discriminant Models
Currently there is no complete face recognition system that is invariant to all facial expressions.
Although humans find it easy to identify and recognise faces regardless of changes in illumination,
pose and expression, producing a computer system with a similar capability has proved to
be particularly di cult. Three dimensional face models are geometric in nature and therefore
have the advantage of being invariant to head pose and lighting. However they are still susceptible
to facial expressions. This can be seen in the decrease in the recognition results using
principal component analysis when expressions are added to a data set.
In order to achieve expression-invariant face recognition systems, we have employed a tensor
algebra framework to represent 3D face data with facial expressions in a parsimonious
space. Face variation factors are organised in particular subject and facial expression modes.
We manipulate this using single value decomposition on sub-tensors representing one variation
mode. This framework possesses the ability to deal with the shortcomings of PCA in less constrained
environments and still preserves the integrity of the 3D data. The results show improved
recognition rates for faces and facial expressions, even recognising high intensity expressions
that are not in the training datasets.
We have determined, experimentally, a set of anatomical landmarks that best describe facial
expression e ectively. We found that the best placement of landmarks to distinguish di erent
facial expressions are in areas around the prominent features, such as the cheeks and eyebrows.
Recognition results using landmark-based face recognition could be improved with better placement.
We looked into the possibility of achieving expression-invariant face recognition by reconstructing
and manipulating realistic facial expressions. We proposed a tensor-based statistical
discriminant analysis method to reconstruct facial expressions and in particular to neutralise
facial expressions. The results of the synthesised facial expressions are visually more realistic
than facial expressions generated using conventional active shape modelling (ASM). We
then used reconstructed neutral faces in the sub-tensor framework for recognition purposes.
The recognition results showed slight improvement. Besides biometric recognition, this novel
tensor-based synthesis approach could be used in computer games and real-time animation
applications
A survey on IT adoption model for SMIs in Malaysia
Understanding the major roles and functions of
Information Technology (IT) in an organisation
is an important factor in shaping an organisation’s characteristics and determining
the usage of IT as an enabler in a business.A
survey on small and medium sized industries in
Malaysia has been carried out in order to
identify and recognise the usage of IT in
businesses.The parameters such as
organisational details (i.e. the numbers of
employees, sales or profitability and the type of
business) and managers details (in terms of
educational level, computer literacy and
computer experiences) were studied in order to
see whether these parameters do contribute
towards the usage of IT in businesses. Based on
the results of the survey, an IT adoption model is
proposed.This IT adoption model can be used as
a framework for users who wishes to set-up a
business.Due to the diverse cultural
composition, the model can also be used as
guidelines to émigré entrepreneurs of the
important areas in setting-up new SMIs in
Malaysia
Usage of Information Technologies in Malaysian Businesses
A survey on small and medium sized industries in Malaysia has been carried out
in order to identify and recognize the usage of IT in business. The parameters
such as organizational details (i.e. the numbers of employees, sales or
profitability and the type of business) and managers details (in terms of
educational level, computer literacy and computer experiences) were studied in
order to see whether these parameters do contribute towards the usage of IT in
business. Based on the survey, the results found are discussed and an IT adoption
model is proposed
Speech Therapy Mobile Application for Speech and Language Impairment Children
Speech and language impairment (SLI) is a
communication disorder when a person has difficulties to
produce speech sounds correctly and understand others.
Children with SLI need speech therapy to help them improve
their communication skills in order to communicate
effectively with others. Due to the lack of speech therapist in
the state, children are mainly waste valuable learning time
while waiting for therapy and these speech therapy sessions
are usually done only on a one-to-one basis within a block
period. Recent studies showed that mobile technologies may
work as an educational tool which can help children to learn.
Hence, a local prototype of mobile speech therapy application
was developed to be appealing for pre-school children of age
3 to 6 with SLI and will be used as a supplementary activity
which can be used during a speech therapy session or at
home. In this paper, we present the results of a six months
intervention experiment with SLI children. We have adapted
the heuristic evaluation for evaluating the usability of the
local prototype mobile speech therapy application. The
results of our study shows those children and their parents
gave positive responses towards the mobile application, also
helps in improving the children skills in producing correct
sounds
3D Facial Expression Synthesis: A Survey
Facial expression synthesis is a process of generating new face shapes from a given face and still retain the distinct facial characteristics of the initial face. The generated facial expressions can be used to improve the performance of existing face identification systems, or to enhance human recognition. Earlier work on synthesizing face shapes used 2D face images. Only recently, the work moved to using 3D face shapes given the availability and improvement in 3D scanner technologies. The advantage of 3D faces over 2D image data is that 3D face holds more geometric shape data and is invariant to poses and illumination. This paper aims to give an overview of the methods used for 3D facial expression synthesis. We present an overview of 3D face expression synthesis, its applications and benefits and then we review some of the most resent 3D face expression synthesis approaches
Towards automatic landmarking on 2.5D face range images
In this paper, we propose an algorithm to
automatically landmark points on 2.5-dimensional (2.5D) face
images. We applied the Scale-invariant Feature Transform
(SIFT) method to a new automatic landmarking method.
Automatic landmarking has a number of added advantages
over manual landmarking and it is more accurate and less time
consuming especially if the dataset is large. We developed an
interactive Graphical User Interface (GUI) tool to ease the
visualization of the extract face features, which are scale and
transformation invariant. The threshold values are then
analyzed and generalized to best detect and extract important
keypoints or/and regions of facial features. The results of the
automatic extracted keypoint features are shown in this paper
Automatic Landmarking on 2.5D Face Range Images
In this paper, we develop an automatic land marking method on face data using 2.5-dimensional (2.5D) range images. Automatic facial land marking is a vital process that could be employed to any face application for analysis, registration and recognition. The research aims to locate facial feature points (the eye corners, the nose tip, the mouth corners, chin etc.) automatically without the intervention of human. Automatic land marking has a number of added advantages over manual land marking, especially if the dataset is large, hence the landmark selection could be more accurate and less time consuming. We also developed an interface to ease the visualization of the land marking process. It has interactive tools which allow the manipulation of threshold values. The threshold values are then analyzed and generalized to best detect and extract important key points or/and regions of facial features. The results of the automatic extracted facial features and candidate landmarks are shown in this paper
Remote health monitoring system in a rural population: Challenges and opportunities
This paper discusses remote health monitoring as a potential application field in telecentres at rural areas. We present the challenges faced and opportunities with emphasis on patients with hypertension using a remote health monitoring system. We will also discuss the potential of deploying mHealth applications as a value added to the telecentres. The remote blood pressure health monitoring system will read, store and send data over wireless network to a remote server. Medical doctors can view the data on a regular basis remotely from a website. This community-based participatory research study carried out BP monitoring on residents from a rural village in Sarawak, Borneo and did follow-up assessments on the available health care for them. Structured quantitative and qualitative research tools were carried out on a wide range of clients – the patients, telecentre managers and medical doctors. Structured and semi-structured data collection techniques, such as questionnaires, group discussions and interviews were gathered. Observation of the whole process of interaction between the patients with the managers was also captured. The aim of the project is to determine the degree to which remote health monitoring interventions can be integrated to telecentres in rural areas to increase awareness in healthy living and wellness
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