ACII
2005
Springer
14 years 24 days ago
2005
Springer
Hand tracking is a challenging problem due to the complexity of searching in a 20+ degrees of freedom (DOF) space for an optimal estimation of hand configuration. This paper repres...
ACII
2005
Springer
14 years 24 days ago
2005
Springer
In this paper, we present an embedded system in which face recognition and facial expression recognition for Human-Robot Interaction are implemented. To detect face with a fast and...
ACII
2005
Springer
14 years 24 days ago
2005
Springer
ACII
2005
Springer
14 years 24 days ago
2005
Springer
Abstract. This paper proposes a case-based automatic facial AU recognition approach using IGA, which embeds human’s ability to compare into target system. To obtain AU codes of a...
ACII
2005
Springer
14 years 24 days ago
2005
Springer
We have developed a system that recognizes the facial expressions in Taiwanese Sign Language (TSL) using a phoneme-based strategy. A facial expression is decomposed into three faci...
ACII
2005
Springer
14 years 24 days 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
14 years 24 days 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
14 years 24 days 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
14 years 24 days 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
14 years 24 days 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 ...