ACII
2005
Springer
13 years 10 months ago
2005
Springer
Active Shape Model (ASM) is one of the most powerful statistical tools for face image alignment. In this paper, we propose a novel method, called Bunch-Active Shape Model (Bunch-AS...
ACII
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. An eye contour extraction method which combines a simplied version of Active Shape Model(ASM) with a gradient method is proposed. Considering the large amount of calculat...
ACII
2005
Springer
13 years 10 months ago
2005
Springer
Abstract The research presented here is to create 3D virtual face based on the canonical face model derived from a clustering method on facial feature points. The algorithm efficie...
ACII
2005
Springer
13 years 10 months ago
2005
Springer
In this paper we present a system to recognize the hand motion of Taiwanese Sign Language (TSL) using the Hidden Markov Models (HMMs) through a vision-based interface. Our hand mot...
ACII
2005
Springer
13 years 10 months ago
2005
Springer
The null space N(St) of total scatter matrix St contains no useful information for pattern classification. So, discarding the null space N(St) results in dimensionality reduction ...
ACII
2005
Springer
13 years 10 months ago
2005
Springer
Interest in emotion detection is increasing significantly. For research and development in the field of Affective Computing and emotion-aware interaction techniques, reliable and r...
CIS
2008
Springer
13 years 10 months ago
2008
Springer
CIS
2008
Springer
13 years 10 months ago
2008
Springer
Rival Penalized Competitive Learning (RPCL) and its variants can perform clustering analysis efficiently with the ability of selecting the cluster number automatically. Although t...
CIS
2008
Springer
13 years 10 months ago
2008
Springer
In a lip-reading system, one key issue is how to extract the visual features, which greatly impact on the lip-reading recognition accuracy and efficiency. In this paper, we propos...
CIS
2008
Springer
13 years 10 months ago
2008
Springer
In this paper, a method is introduced how to process the Discrete Fourier Transform (DFT) by a singlelayer neural network with a linear transfer function. By implementing the sugg...